Information Extraction from the Web - In today's web

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Benjamin Habegger

Technology Education

In today's web
Information Extraction
from the Web
Benjamin Habegger
University of Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205
Seminary on Information Extraction from the Web
ENSIAS, Rabat, Morocco - June 19, 2013

About Me
@b_habegger
http://www.linkedin.com/in/benjaminhabegger
benjamin.habegger@insa-lyon.fr

Where is the web today ?
Web of humans
● Interlinked documents
● Social Web
● Web 2.0
● Crowd-sourcing
Web of machines
● REST / API
● Service Interaction
● Open Data
● Semantic Web

Somehow we're creating 2 webs
Web of DataWeb of humans
HTML
Javascript
CSS
RDF
REST
SPARQL

There are some interactions

Open data still has some way to go
Data thrown on the web in its original format
● Not many standardized formats
● Not many standardized semantics
● Can be
– An Excel, CSV file
– A REST service

Still the Linked Open Data and
Semantic Web are emerging
● Vocabularies
– Foaf
– Dublin Core
– …
● Datasets
– DBPedia
– ...

But still, can't we dream a little ?
Having (a little) smarter machines...
Shared web
Learning capabilities

Making our web robots smarter
could even help improve our web...
What does the following query give you today ?
“lyon informatique emploi”

Do you see any jobs there ?

Nope, listing of pages which
contain lists of jobs, ...

There's still a long way to go...
but information extraction from the web
is a little step in making machines smarter

And there are many people
interested out there...
Freelancer.com search for web scrapping

So where does information
extraction from the web fit in ?
Open DataOpen Data
Linked DataLinked Data
Semantic WebSemantic Web
Information ExtractionInformation Extraction
Machine LearningMachine Learning
Pattern MiningPattern Mining
Data IntegrationData Integration
Standardized VocabulariesStandardized Vocabularies
Machine LearningMachine Learning
Web ScrappingWeb Scrapping

And what is it about ?
...
Data for humans
Data for machines

How do we do that ?
We'll see that after the break :)
http://www.slideshare.net/BenjaminHabegger/2013-06ensiasrabatiealg

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Information Extraction from the Web - In today's web

1. In today's web Information Extraction from the Web Benjamin Habegger University of Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205 Seminary on Information Extraction from the Web ENSIAS, Rabat, Morocco - June 19, 2013

2. About Me @b_habegger http://www.linkedin.com/in/benjaminhabegger benjamin.habegger@insa-lyon.fr

3. Where is the web today ? Web of humans ● Interlinked documents ● Social Web ● Web 2.0 ● Crowd-sourcing Web of machines ● REST / API ● Service Interaction ● Open Data ● Semantic Web

4. Somehow we're creating 2 webs Web of DataWeb of humans HTML Javascript CSS RDF REST SPARQL

5. There are some interactions

6. Open data still has some way to go Data thrown on the web in its original format ● Not many standardized formats ● Not many standardized semantics ● Can be – An Excel, CSV file – A REST service

7. Still the Linked Open Data and Semantic Web are emerging ● Vocabularies – Foaf – Dublin Core – … ● Datasets – DBPedia – ...

8. But still, can't we dream a little ? Having (a little) smarter machines... Shared web Learning capabilities

9. Making our web robots smarter could even help improve our web... What does the following query give you today ? “lyon informatique emploi”

10. Do you see any jobs there ?

11. Nope, listing of pages which contain lists of jobs, ...

12. There's still a long way to go... but information extraction from the web is a little step in making machines smarter

13. And there are many people interested out there... Freelancer.com search for web scrapping

14. So where does information extraction from the web fit in ? Open DataOpen Data Linked DataLinked Data Semantic WebSemantic Web Information ExtractionInformation Extraction Machine LearningMachine Learning Pattern MiningPattern Mining Data IntegrationData Integration Standardized VocabulariesStandardized Vocabularies Machine LearningMachine Learning Web ScrappingWeb Scrapping

15. And what is it about ? ... Data for humans Data for machines

16. How do we do that ? We'll see that after the break :) http://www.slideshare.net/BenjaminHabegger/2013-06ensiasrabatiealg