SlideShare a Scribd company logo
1 of 33
Stream Reasoning Where We Got So Far Oxford - 2010.1.18 http://streamreasoning.org   Emanuele Della Valle  DEI - Politecnico di Milano  [email_address] http://emanueledellavalle.org   Joint work with: Davide Francesco Barbieri, Daniele Braga, Stefano Ceri,  and Michael Grossniklaus
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Motivation It ‘s a streaming World!  [IEEE-IS2009] ,[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Running Example Real-Time Streams on the Web ,[object Object],[object Object],[object Object],Oxford, 2011-1-18 Emanuele Della Valle - visit  http://streamreasoning.org
Running Example Examples of Questions Users are Asking ,[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Motivation Problem Statement  ,[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Background  What are data streams anyway? ,[object Object],[object Object],[object Object],[object Object],[object Object],time Oxford, 2011-1-18
Background  Continuous Semantics ,[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Background  Stream Processing ,[object Object],Oxford, 2011-1-18 window input stream stream of answer Registered Continuous Query
Background  Data Stream Management Systems (DSMS) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Background  Can the Semantic Web process data stream? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Concept Stream Reasoning  [IEEE-IS2010 ] ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Concept  Research Challenges ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Achievements  Explored Continuous Semantics for SeWeb ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Achievements  Architecture (IEEE-IS2010) ,[object Object],[object Object],Oxford, 2011-1-18
Achievements  RDF Stream  [WWW2009,EDBT2010,IJSC2010] ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Achievements   C-SPARQL  [WWW2009,EDBT2010,IJSC2010] ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Achievements   An Example of C-SPARQL Query ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Achievements   An Example of C-SPARQL Query ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18 Query registration (for  continuous  execution) FROM STREAM  clause WINDOW RDF Stream added as  new ouput format  Builtin to access timestamps Aggregates as in SPARQL 1.1
Achievements   Efficiency of Evaluation 1/3  [IEEE-IS2010] ,[object Object],Oxford, 2011-1-18
Achievements   Efficiency of Evaluation 2/3  [EDBT2010] ,[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Achievements   Efficiency of Evaluation 3/3  [EDBT2010] ,[object Object],Oxford, 2011-1-18
Achievements   Example of C-SPARQL and Reasoning 1/2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18 :discuss a owl:TransitiveProperty . :reply rdfs:subPropertyOf :discuss . :retweet  rdfs:subPropertyOf :discuss .
Achievements   Example of C-SPARQL and Reasoning 2/2 Oxford, 2011-1-18 t 1 t 1-1 t 1-2 t 1-3 retweet reply retweet discuss discuss discuss discuss discuss discuss Monitored  Positive  Negative
Achievements State-of-the-Art Approach  [Ceri1994,Volz2005] ,[object Object],[object Object],[object Object],Oxford, 2011-1-18
Achievements our approach  [ESWC2010] 1/2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Achievements our approach  [ESWC2010] 2/2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Achievements Comparative Evaluation 1/2  [ESWC2010]  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Achievements Comparative Evaluation 2/2   ,[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Retrospective and Conclusions Wrap Up ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Retrospective and Conclusions  Achievements vs. Research Challenges ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oxford, 2011-1-18
Thank You! Questions? Much More to Come! Keep an eye on  http://www.streamreasoning.org   Oxford, 2011-1-18

More Related Content

What's hot

Semantic Interpretation of User Query for Question Answering on Interlinked Data
Semantic Interpretation of User Query for Question Answering on Interlinked DataSemantic Interpretation of User Query for Question Answering on Interlinked Data
Semantic Interpretation of User Query for Question Answering on Interlinked DataSaeedeh Shekarpour
 
How well does your Instance Matching system perform? Experimental evaluation ...
How well does your Instance Matching system perform? Experimental evaluation ...How well does your Instance Matching system perform? Experimental evaluation ...
How well does your Instance Matching system perform? Experimental evaluation ...Holistic Benchmarking of Big Linked Data
 
SF Python Meetup: TextRank in Python
SF Python Meetup: TextRank in PythonSF Python Meetup: TextRank in Python
SF Python Meetup: TextRank in PythonPaco Nathan
 
Introduction to question answering for linked data & big data
Introduction to question answering for linked data & big dataIntroduction to question answering for linked data & big data
Introduction to question answering for linked data & big dataAndre Freitas
 
Shebanq roma-2013-10-01
Shebanq roma-2013-10-01Shebanq roma-2013-10-01
Shebanq roma-2013-10-01Dirk Roorda
 
Crowdsourcing Linked Data Quality Assessment
Crowdsourcing Linked Data Quality AssessmentCrowdsourcing Linked Data Quality Assessment
Crowdsourcing Linked Data Quality AssessmentMaribel Acosta Deibe
 
The Rise of Approximate Ontology Reasoning: Is It Mainstream Yet? --- Revisit...
The Rise of Approximate Ontology Reasoning: Is It Mainstream Yet? --- Revisit...The Rise of Approximate Ontology Reasoning: Is It Mainstream Yet? --- Revisit...
The Rise of Approximate Ontology Reasoning: Is It Mainstream Yet? --- Revisit...Jeff Z. Pan
 
Entity Linking in Queries: Tasks and Evaluation
Entity Linking in Queries: Tasks and EvaluationEntity Linking in Queries: Tasks and Evaluation
Entity Linking in Queries: Tasks and EvaluationFaegheh Hasibi
 
EKAW 2016 - TechMiner: Extracting Technologies from Academic Publications
EKAW 2016 - TechMiner: Extracting Technologies from Academic PublicationsEKAW 2016 - TechMiner: Extracting Technologies from Academic Publications
EKAW 2016 - TechMiner: Extracting Technologies from Academic PublicationsFrancesco Osborne
 
Question Answering over Linked Data: Challenges, Approaches & Trends (Tutoria...
Question Answering over Linked Data: Challenges, Approaches & Trends (Tutoria...Question Answering over Linked Data: Challenges, Approaches & Trends (Tutoria...
Question Answering over Linked Data: Challenges, Approaches & Trends (Tutoria...Andre Freitas
 
Projects for Database and Data Mining
Projects for Database and Data MiningProjects for Database and Data Mining
Projects for Database and Data MiningJames Ndukwane
 
The Implications of Plagiarism and Contract Cheating for the Assessment of Da...
The Implications of Plagiarism and Contract Cheating for the Assessment of Da...The Implications of Plagiarism and Contract Cheating for the Assessment of Da...
The Implications of Plagiarism and Contract Cheating for the Assessment of Da...Thomas Lancaster
 
DB-IR-ranking
DB-IR-rankingDB-IR-ranking
DB-IR-rankingFELIX75
 
Supporting Springer Nature Editors by means of Semantic Technologies
Supporting Springer Nature Editors by means of Semantic TechnologiesSupporting Springer Nature Editors by means of Semantic Technologies
Supporting Springer Nature Editors by means of Semantic TechnologiesFrancesco Osborne
 
The Maze of Deletion in Ontology Stream Reasoning
The Maze of Deletion in Ontology Stream Reasoning The Maze of Deletion in Ontology Stream Reasoning
The Maze of Deletion in Ontology Stream Reasoning Jeff Z. Pan
 
Ph.D_slide
Ph.D_slidePh.D_slide
Ph.D_slidePei Li
 
Top-N Recommendations from Implicit Feedback leveraging Linked Open Data
Top-N Recommendations from Implicit Feedback leveraging Linked Open DataTop-N Recommendations from Implicit Feedback leveraging Linked Open Data
Top-N Recommendations from Implicit Feedback leveraging Linked Open DataVito Ostuni
 
Automatic Classification of Springer Nature Proceedings with Smart Topic Miner
Automatic Classification of Springer Nature Proceedings with Smart Topic MinerAutomatic Classification of Springer Nature Proceedings with Smart Topic Miner
Automatic Classification of Springer Nature Proceedings with Smart Topic MinerFrancesco Osborne
 
Alexander Sirenko - Query expansion for Question Answering
Alexander Sirenko - Query expansion for Question AnsweringAlexander Sirenko - Query expansion for Question Answering
Alexander Sirenko - Query expansion for Question AnsweringAlexander Sirenko
 
EKAW 2016 - Ontology Forecasting in Scientific Literature: Semantic Concepts ...
EKAW 2016 - Ontology Forecasting in Scientific Literature: Semantic Concepts ...EKAW 2016 - Ontology Forecasting in Scientific Literature: Semantic Concepts ...
EKAW 2016 - Ontology Forecasting in Scientific Literature: Semantic Concepts ...Francesco Osborne
 

What's hot (20)

Semantic Interpretation of User Query for Question Answering on Interlinked Data
Semantic Interpretation of User Query for Question Answering on Interlinked DataSemantic Interpretation of User Query for Question Answering on Interlinked Data
Semantic Interpretation of User Query for Question Answering on Interlinked Data
 
How well does your Instance Matching system perform? Experimental evaluation ...
How well does your Instance Matching system perform? Experimental evaluation ...How well does your Instance Matching system perform? Experimental evaluation ...
How well does your Instance Matching system perform? Experimental evaluation ...
 
SF Python Meetup: TextRank in Python
SF Python Meetup: TextRank in PythonSF Python Meetup: TextRank in Python
SF Python Meetup: TextRank in Python
 
Introduction to question answering for linked data & big data
Introduction to question answering for linked data & big dataIntroduction to question answering for linked data & big data
Introduction to question answering for linked data & big data
 
Shebanq roma-2013-10-01
Shebanq roma-2013-10-01Shebanq roma-2013-10-01
Shebanq roma-2013-10-01
 
Crowdsourcing Linked Data Quality Assessment
Crowdsourcing Linked Data Quality AssessmentCrowdsourcing Linked Data Quality Assessment
Crowdsourcing Linked Data Quality Assessment
 
The Rise of Approximate Ontology Reasoning: Is It Mainstream Yet? --- Revisit...
The Rise of Approximate Ontology Reasoning: Is It Mainstream Yet? --- Revisit...The Rise of Approximate Ontology Reasoning: Is It Mainstream Yet? --- Revisit...
The Rise of Approximate Ontology Reasoning: Is It Mainstream Yet? --- Revisit...
 
Entity Linking in Queries: Tasks and Evaluation
Entity Linking in Queries: Tasks and EvaluationEntity Linking in Queries: Tasks and Evaluation
Entity Linking in Queries: Tasks and Evaluation
 
EKAW 2016 - TechMiner: Extracting Technologies from Academic Publications
EKAW 2016 - TechMiner: Extracting Technologies from Academic PublicationsEKAW 2016 - TechMiner: Extracting Technologies from Academic Publications
EKAW 2016 - TechMiner: Extracting Technologies from Academic Publications
 
Question Answering over Linked Data: Challenges, Approaches & Trends (Tutoria...
Question Answering over Linked Data: Challenges, Approaches & Trends (Tutoria...Question Answering over Linked Data: Challenges, Approaches & Trends (Tutoria...
Question Answering over Linked Data: Challenges, Approaches & Trends (Tutoria...
 
Projects for Database and Data Mining
Projects for Database and Data MiningProjects for Database and Data Mining
Projects for Database and Data Mining
 
The Implications of Plagiarism and Contract Cheating for the Assessment of Da...
The Implications of Plagiarism and Contract Cheating for the Assessment of Da...The Implications of Plagiarism and Contract Cheating for the Assessment of Da...
The Implications of Plagiarism and Contract Cheating for the Assessment of Da...
 
DB-IR-ranking
DB-IR-rankingDB-IR-ranking
DB-IR-ranking
 
Supporting Springer Nature Editors by means of Semantic Technologies
Supporting Springer Nature Editors by means of Semantic TechnologiesSupporting Springer Nature Editors by means of Semantic Technologies
Supporting Springer Nature Editors by means of Semantic Technologies
 
The Maze of Deletion in Ontology Stream Reasoning
The Maze of Deletion in Ontology Stream Reasoning The Maze of Deletion in Ontology Stream Reasoning
The Maze of Deletion in Ontology Stream Reasoning
 
Ph.D_slide
Ph.D_slidePh.D_slide
Ph.D_slide
 
Top-N Recommendations from Implicit Feedback leveraging Linked Open Data
Top-N Recommendations from Implicit Feedback leveraging Linked Open DataTop-N Recommendations from Implicit Feedback leveraging Linked Open Data
Top-N Recommendations from Implicit Feedback leveraging Linked Open Data
 
Automatic Classification of Springer Nature Proceedings with Smart Topic Miner
Automatic Classification of Springer Nature Proceedings with Smart Topic MinerAutomatic Classification of Springer Nature Proceedings with Smart Topic Miner
Automatic Classification of Springer Nature Proceedings with Smart Topic Miner
 
Alexander Sirenko - Query expansion for Question Answering
Alexander Sirenko - Query expansion for Question AnsweringAlexander Sirenko - Query expansion for Question Answering
Alexander Sirenko - Query expansion for Question Answering
 
EKAW 2016 - Ontology Forecasting in Scientific Literature: Semantic Concepts ...
EKAW 2016 - Ontology Forecasting in Scientific Literature: Semantic Concepts ...EKAW 2016 - Ontology Forecasting in Scientific Literature: Semantic Concepts ...
EKAW 2016 - Ontology Forecasting in Scientific Literature: Semantic Concepts ...
 

Viewers also liked

Challenges, Approaches, and Solutions in Stream Reasoning
Challenges, Approaches, and Solutions in Stream ReasoningChallenges, Approaches, and Solutions in Stream Reasoning
Challenges, Approaches, and Solutions in Stream Reasoning Emanuele Della Valle
 
Approcci innovativi allo sviluppo di portali: Semantic Web, accessibilità e m...
Approcci innovativi allo sviluppo di portali: Semantic Web, accessibilità e m...Approcci innovativi allo sviluppo di portali: Semantic Web, accessibilità e m...
Approcci innovativi allo sviluppo di portali: Semantic Web, accessibilità e m...Emanuele Della Valle
 
Planning Phase Part I - Project Phases and Lifecycle Planning
Planning Phase Part I - Project Phases and Lifecycle PlanningPlanning Phase Part I - Project Phases and Lifecycle Planning
Planning Phase Part I - Project Phases and Lifecycle PlanningEmanuele Della Valle
 
Cefriel della valle-idc-cms-2006_basta-cercare-vogliamo-trovare_v1.0
Cefriel della valle-idc-cms-2006_basta-cercare-vogliamo-trovare_v1.0Cefriel della valle-idc-cms-2006_basta-cercare-vogliamo-trovare_v1.0
Cefriel della valle-idc-cms-2006_basta-cercare-vogliamo-trovare_v1.0Emanuele Della Valle
 

Viewers also liked (7)

Challenges, Approaches, and Solutions in Stream Reasoning
Challenges, Approaches, and Solutions in Stream ReasoningChallenges, Approaches, and Solutions in Stream Reasoning
Challenges, Approaches, and Solutions in Stream Reasoning
 
IC2008 Introduzione Did You Know?
IC2008 Introduzione Did You Know?IC2008 Introduzione Did You Know?
IC2008 Introduzione Did You Know?
 
Approcci innovativi allo sviluppo di portali: Semantic Web, accessibilità e m...
Approcci innovativi allo sviluppo di portali: Semantic Web, accessibilità e m...Approcci innovativi allo sviluppo di portali: Semantic Web, accessibilità e m...
Approcci innovativi allo sviluppo di portali: Semantic Web, accessibilità e m...
 
P&msp2010 06 ms-project
P&msp2010 06 ms-projectP&msp2010 06 ms-project
P&msp2010 06 ms-project
 
IC2008 Formule Atomiche
IC2008 Formule AtomicheIC2008 Formule Atomiche
IC2008 Formule Atomiche
 
Planning Phase Part I - Project Phases and Lifecycle Planning
Planning Phase Part I - Project Phases and Lifecycle PlanningPlanning Phase Part I - Project Phases and Lifecycle Planning
Planning Phase Part I - Project Phases and Lifecycle Planning
 
Cefriel della valle-idc-cms-2006_basta-cercare-vogliamo-trovare_v1.0
Cefriel della valle-idc-cms-2006_basta-cercare-vogliamo-trovare_v1.0Cefriel della valle-idc-cms-2006_basta-cercare-vogliamo-trovare_v1.0
Cefriel della valle-idc-cms-2006_basta-cercare-vogliamo-trovare_v1.0
 

Similar to Stream Reasoning: Where we got so far. Oxford 2010.1.18

The Nature of Information
The Nature of InformationThe Nature of Information
The Nature of InformationAdrian Paschke
 
Approximation and Self-Organisation on the Web of Data
Approximation and Self-Organisation on the Web of DataApproximation and Self-Organisation on the Web of Data
Approximation and Self-Organisation on the Web of DataKathrin Dentler
 
On the need for a W3C community group on RDF Stream Processing
On the need for a W3C community group on RDF Stream ProcessingOn the need for a W3C community group on RDF Stream Processing
On the need for a W3C community group on RDF Stream ProcessingPlanetData Network of Excellence
 
OrdRing 2013 keynote - On the need for a W3C community group on RDF Stream Pr...
OrdRing 2013 keynote - On the need for a W3C community group on RDF Stream Pr...OrdRing 2013 keynote - On the need for a W3C community group on RDF Stream Pr...
OrdRing 2013 keynote - On the need for a W3C community group on RDF Stream Pr...Oscar Corcho
 
A Biological Internet?: Eywa
A Biological Internet?: EywaA Biological Internet?: Eywa
A Biological Internet?: EywaEugene Siow
 
A First Step Towards Stream Reasoning at FIS 2008
A First Step Towards Stream Reasoning at FIS 2008A First Step Towards Stream Reasoning at FIS 2008
A First Step Towards Stream Reasoning at FIS 2008Emanuele Della Valle
 
Towards efficient processing of RDF data streams
Towards efficient processing of RDF data streamsTowards efficient processing of RDF data streams
Towards efficient processing of RDF data streamsAlejandro Llaves
 
Towards efficient processing of RDF data streams
Towards efficient processing of RDF data streamsTowards efficient processing of RDF data streams
Towards efficient processing of RDF data streamsAlejandro Llaves
 
What we do to improve scalability in our RDF processing system
What we do to improve scalability in our RDF processing systemWhat we do to improve scalability in our RDF processing system
What we do to improve scalability in our RDF processing systemAlejandro Llaves
 
Riding the wave - Paradigm shifts in information access
Riding the wave - Paradigm shifts in information accessRiding the wave - Paradigm shifts in information access
Riding the wave - Paradigm shifts in information accessdatacite
 
Open Analytics Environment
Open Analytics EnvironmentOpen Analytics Environment
Open Analytics EnvironmentIan Foster
 
Modelling and Querying Lists in RDF. A Pragmatic Study
Modelling and Querying Lists in RDF. A Pragmatic StudyModelling and Querying Lists in RDF. A Pragmatic Study
Modelling and Querying Lists in RDF. A Pragmatic StudyAlbert Meroño-Peñuela
 
A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and ...
A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and ...A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and ...
A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and ...Marko Rodriguez
 
How the Web can change social science research (including yours)
How the Web can change social science research (including yours)How the Web can change social science research (including yours)
How the Web can change social science research (including yours)Frank van Harmelen
 
Ingredients for Semantic Sensor Networks
Ingredients for Semantic Sensor NetworksIngredients for Semantic Sensor Networks
Ingredients for Semantic Sensor NetworksOscar Corcho
 
Semantic Web from the 2013 Perspective
Semantic Web from the 2013 PerspectiveSemantic Web from the 2013 Perspective
Semantic Web from the 2013 PerspectiveAdrian Paschke
 
Doing Clever Things with the Semantic Web
Doing Clever Things with the Semantic WebDoing Clever Things with the Semantic Web
Doing Clever Things with the Semantic WebMathieu d'Aquin
 
Patching Mr Robot: Mitigating IoT-Related Cyber-social Disasters by getting F...
Patching Mr Robot: Mitigating IoT-Related Cyber-social Disasters by getting F...Patching Mr Robot: Mitigating IoT-Related Cyber-social Disasters by getting F...
Patching Mr Robot: Mitigating IoT-Related Cyber-social Disasters by getting F...Eugene Siow
 
Stream Reasoning: a summary of ten years of research and a vision for the nex...
Stream Reasoning: a summary of ten years of research and a vision for the nex...Stream Reasoning: a summary of ten years of research and a vision for the nex...
Stream Reasoning: a summary of ten years of research and a vision for the nex...Emanuele Della Valle
 

Similar to Stream Reasoning: Where we got so far. Oxford 2010.1.18 (20)

The Nature of Information
The Nature of InformationThe Nature of Information
The Nature of Information
 
Approximation and Self-Organisation on the Web of Data
Approximation and Self-Organisation on the Web of DataApproximation and Self-Organisation on the Web of Data
Approximation and Self-Organisation on the Web of Data
 
On the need for a W3C community group on RDF Stream Processing
On the need for a W3C community group on RDF Stream ProcessingOn the need for a W3C community group on RDF Stream Processing
On the need for a W3C community group on RDF Stream Processing
 
OrdRing 2013 keynote - On the need for a W3C community group on RDF Stream Pr...
OrdRing 2013 keynote - On the need for a W3C community group on RDF Stream Pr...OrdRing 2013 keynote - On the need for a W3C community group on RDF Stream Pr...
OrdRing 2013 keynote - On the need for a W3C community group on RDF Stream Pr...
 
A Biological Internet?: Eywa
A Biological Internet?: EywaA Biological Internet?: Eywa
A Biological Internet?: Eywa
 
A First Step Towards Stream Reasoning at FIS 2008
A First Step Towards Stream Reasoning at FIS 2008A First Step Towards Stream Reasoning at FIS 2008
A First Step Towards Stream Reasoning at FIS 2008
 
Towards efficient processing of RDF data streams
Towards efficient processing of RDF data streamsTowards efficient processing of RDF data streams
Towards efficient processing of RDF data streams
 
Towards efficient processing of RDF data streams
Towards efficient processing of RDF data streamsTowards efficient processing of RDF data streams
Towards efficient processing of RDF data streams
 
UCIAD overview
UCIAD overviewUCIAD overview
UCIAD overview
 
What we do to improve scalability in our RDF processing system
What we do to improve scalability in our RDF processing systemWhat we do to improve scalability in our RDF processing system
What we do to improve scalability in our RDF processing system
 
Riding the wave - Paradigm shifts in information access
Riding the wave - Paradigm shifts in information accessRiding the wave - Paradigm shifts in information access
Riding the wave - Paradigm shifts in information access
 
Open Analytics Environment
Open Analytics EnvironmentOpen Analytics Environment
Open Analytics Environment
 
Modelling and Querying Lists in RDF. A Pragmatic Study
Modelling and Querying Lists in RDF. A Pragmatic StudyModelling and Querying Lists in RDF. A Pragmatic Study
Modelling and Querying Lists in RDF. A Pragmatic Study
 
A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and ...
A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and ...A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and ...
A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and ...
 
How the Web can change social science research (including yours)
How the Web can change social science research (including yours)How the Web can change social science research (including yours)
How the Web can change social science research (including yours)
 
Ingredients for Semantic Sensor Networks
Ingredients for Semantic Sensor NetworksIngredients for Semantic Sensor Networks
Ingredients for Semantic Sensor Networks
 
Semantic Web from the 2013 Perspective
Semantic Web from the 2013 PerspectiveSemantic Web from the 2013 Perspective
Semantic Web from the 2013 Perspective
 
Doing Clever Things with the Semantic Web
Doing Clever Things with the Semantic WebDoing Clever Things with the Semantic Web
Doing Clever Things with the Semantic Web
 
Patching Mr Robot: Mitigating IoT-Related Cyber-social Disasters by getting F...
Patching Mr Robot: Mitigating IoT-Related Cyber-social Disasters by getting F...Patching Mr Robot: Mitigating IoT-Related Cyber-social Disasters by getting F...
Patching Mr Robot: Mitigating IoT-Related Cyber-social Disasters by getting F...
 
Stream Reasoning: a summary of ten years of research and a vision for the nex...
Stream Reasoning: a summary of ten years of research and a vision for the nex...Stream Reasoning: a summary of ten years of research and a vision for the nex...
Stream Reasoning: a summary of ten years of research and a vision for the nex...
 

More from Emanuele Della Valle

Taming velocity - a tale of four streams
Taming velocity - a tale of four streamsTaming velocity - a tale of four streams
Taming velocity - a tale of four streamsEmanuele Della Valle
 
Work in progress on Inductive Stream Reasoning
Work in progress on Inductive Stream ReasoningWork in progress on Inductive Stream Reasoning
Work in progress on Inductive Stream ReasoningEmanuele Della Valle
 
Knowledge graphs in search engines
Knowledge graphs in search enginesKnowledge graphs in search engines
Knowledge graphs in search enginesEmanuele Della Valle
 
La città dei balocchi 2017 in numeri - Fluxedo
La città dei balocchi 2017 in numeri - FluxedoLa città dei balocchi 2017 in numeri - Fluxedo
La città dei balocchi 2017 in numeri - FluxedoEmanuele Della Valle
 
ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...
ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...
ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...Emanuele Della Valle
 
Stream reasoning: an approach to tame the velocity and variety dimensions of ...
Stream reasoning: an approach to tame the velocity and variety dimensions of ...Stream reasoning: an approach to tame the velocity and variety dimensions of ...
Stream reasoning: an approach to tame the velocity and variety dimensions of ...Emanuele Della Valle
 
Big Data: how to use it to create value
Big Data: how to use it to create valueBig Data: how to use it to create value
Big Data: how to use it to create valueEmanuele Della Valle
 
Listening to the pulse of our cities with Stream Reasoning (and few more tech...
Listening to the pulse of our cities with Stream Reasoning (and few more tech...Listening to the pulse of our cities with Stream Reasoning (and few more tech...
Listening to the pulse of our cities with Stream Reasoning (and few more tech...Emanuele Della Valle
 
Ist16-03 An Introduction to the Semantic Web
Ist16-03 An Introduction to the Semantic Web Ist16-03 An Introduction to the Semantic Web
Ist16-03 An Introduction to the Semantic Web Emanuele Della Valle
 
Ist16-02 HL7 from v2 (syntax) to v3 (semantics)
Ist16-02 HL7 from v2 (syntax) to v3 (semantics)Ist16-02 HL7 from v2 (syntax) to v3 (semantics)
Ist16-02 HL7 from v2 (syntax) to v3 (semantics)Emanuele Della Valle
 
IST16-01 - Introduction to Interoperability and Semantic Technologies
IST16-01 - Introduction to Interoperability and Semantic TechnologiesIST16-01 - Introduction to Interoperability and Semantic Technologies
IST16-01 - Introduction to Interoperability and Semantic TechnologiesEmanuele Della Valle
 
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...Stream reasoning: mastering the velocity and the variety dimensions of Big Da...
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...Emanuele Della Valle
 
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...Listening to the pulse of our cities fusing Social Media Streams and Call Dat...
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...Emanuele Della Valle
 
Social listener-brera-design-district-2015-03
Social listener-brera-design-district-2015-03Social listener-brera-design-district-2015-03
Social listener-brera-design-district-2015-03Emanuele Della Valle
 
City Data Fusion for Event Management (in Italiano)
City Data Fusion for Event Management (in Italiano)City Data Fusion for Event Management (in Italiano)
City Data Fusion for Event Management (in Italiano)Emanuele Della Valle
 
Semantic technologies and Interoperability
Semantic technologies and InteroperabilitySemantic technologies and Interoperability
Semantic technologies and InteroperabilityEmanuele Della Valle
 

More from Emanuele Della Valle (20)

Taming velocity - a tale of four streams
Taming velocity - a tale of four streamsTaming velocity - a tale of four streams
Taming velocity - a tale of four streams
 
Stream reasoning
Stream reasoningStream reasoning
Stream reasoning
 
Work in progress on Inductive Stream Reasoning
Work in progress on Inductive Stream ReasoningWork in progress on Inductive Stream Reasoning
Work in progress on Inductive Stream Reasoning
 
Big Data and Data Science W's
Big Data and Data Science W'sBig Data and Data Science W's
Big Data and Data Science W's
 
Knowledge graphs in search engines
Knowledge graphs in search enginesKnowledge graphs in search engines
Knowledge graphs in search engines
 
La città dei balocchi 2017 in numeri - Fluxedo
La città dei balocchi 2017 in numeri - FluxedoLa città dei balocchi 2017 in numeri - Fluxedo
La città dei balocchi 2017 in numeri - Fluxedo
 
ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...
ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...
ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...
 
Stream reasoning: an approach to tame the velocity and variety dimensions of ...
Stream reasoning: an approach to tame the velocity and variety dimensions of ...Stream reasoning: an approach to tame the velocity and variety dimensions of ...
Stream reasoning: an approach to tame the velocity and variety dimensions of ...
 
Big Data: how to use it to create value
Big Data: how to use it to create valueBig Data: how to use it to create value
Big Data: how to use it to create value
 
Listening to the pulse of our cities with Stream Reasoning (and few more tech...
Listening to the pulse of our cities with Stream Reasoning (and few more tech...Listening to the pulse of our cities with Stream Reasoning (and few more tech...
Listening to the pulse of our cities with Stream Reasoning (and few more tech...
 
Ist16-04 An introduction to RDF
Ist16-04 An introduction to RDF Ist16-04 An introduction to RDF
Ist16-04 An introduction to RDF
 
Ist16-03 An Introduction to the Semantic Web
Ist16-03 An Introduction to the Semantic Web Ist16-03 An Introduction to the Semantic Web
Ist16-03 An Introduction to the Semantic Web
 
Ist16-02 HL7 from v2 (syntax) to v3 (semantics)
Ist16-02 HL7 from v2 (syntax) to v3 (semantics)Ist16-02 HL7 from v2 (syntax) to v3 (semantics)
Ist16-02 HL7 from v2 (syntax) to v3 (semantics)
 
IST16-01 - Introduction to Interoperability and Semantic Technologies
IST16-01 - Introduction to Interoperability and Semantic TechnologiesIST16-01 - Introduction to Interoperability and Semantic Technologies
IST16-01 - Introduction to Interoperability and Semantic Technologies
 
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...Stream reasoning: mastering the velocity and the variety dimensions of Big Da...
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...
 
On Stream Reasoning
On Stream ReasoningOn Stream Reasoning
On Stream Reasoning
 
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...Listening to the pulse of our cities fusing Social Media Streams and Call Dat...
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...
 
Social listener-brera-design-district-2015-03
Social listener-brera-design-district-2015-03Social listener-brera-design-district-2015-03
Social listener-brera-design-district-2015-03
 
City Data Fusion for Event Management (in Italiano)
City Data Fusion for Event Management (in Italiano)City Data Fusion for Event Management (in Italiano)
City Data Fusion for Event Management (in Italiano)
 
Semantic technologies and Interoperability
Semantic technologies and InteroperabilitySemantic technologies and Interoperability
Semantic technologies and Interoperability
 

Recently uploaded

UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfNirmal Dwivedi
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...pradhanghanshyam7136
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxVishalSingh1417
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfAdmir Softic
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxEsquimalt MFRC
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSCeline George
 
Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf
Vishram Singh - Textbook of Anatomy  Upper Limb and Thorax.. Volume 1 (1).pdfVishram Singh - Textbook of Anatomy  Upper Limb and Thorax.. Volume 1 (1).pdf
Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdfssuserdda66b
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfSherif Taha
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.MaryamAhmad92
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...Nguyen Thanh Tu Collection
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibitjbellavia9
 
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxSKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxAmanpreet Kaur
 
Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Association for Project Management
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxDenish Jangid
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.christianmathematics
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and ModificationsMJDuyan
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.pptRamjanShidvankar
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfPoh-Sun Goh
 

Recently uploaded (20)

UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
 
Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf
Vishram Singh - Textbook of Anatomy  Upper Limb and Thorax.. Volume 1 (1).pdfVishram Singh - Textbook of Anatomy  Upper Limb and Thorax.. Volume 1 (1).pdf
Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxSKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
 
Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and Modifications
 
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 

Stream Reasoning: Where we got so far. Oxford 2010.1.18

  • 1. Stream Reasoning Where We Got So Far Oxford - 2010.1.18 http://streamreasoning.org Emanuele Della Valle DEI - Politecnico di Milano [email_address] http://emanueledellavalle.org Joint work with: Davide Francesco Barbieri, Daniele Braga, Stefano Ceri, and Michael Grossniklaus
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24. Achievements Example of C-SPARQL and Reasoning 2/2 Oxford, 2011-1-18 t 1 t 1-1 t 1-2 t 1-3 retweet reply retweet discuss discuss discuss discuss discuss discuss Monitored Positive Negative
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33. Thank You! Questions? Much More to Come! Keep an eye on http://www.streamreasoning.org Oxford, 2011-1-18

Editor's Notes

  1. Service-Finder