Ce diaporama a bien été signalé.
Nous utilisons votre profil LinkedIn et vos données d’activité pour vous proposer des publicités personnalisées et pertinentes. Vous pouvez changer vos préférences de publicités à tout moment.

1

Partager

Télécharger pour lire hors ligne

From Taxonomies and Schemas to Knowledge Graphs: Parts 1 & 2

Télécharger pour lire hors ligne

Do you have experience in data modeling, or using taxonomies to classify things, and want to upgrade to modeling knowledge graphs? This hands-on workshop with one of the leading knowledge graph practitioners will help you get started.

Parts 1 & 2

From Taxonomies and Schemas to Knowledge Graphs: Parts 1 & 2

  1. 1. Panos Alexopoulos Data and Knowledge Technologies Professional http://www.panosalexopoulos.com p.alexopoulos@gmail.com @PAlexop From Taxonomies and Schemas to Knowledge Graphs Recognizing and tackling the pitfalls of large-scale semantic modeling
  2. 2. In 2016 I got a mission “Good morning Mr. Alexopoulos. Your mission, should you decide to accept it is to build a Knowledge Graph for the Labour Market Domain.” —Textkernel
  3. 3. which I accepted as I had the perfect recipe
  4. 4. that often didn’t quite work as expected
  5. 5. leading to an important lesson
  6. 6. Semantics are pretty hard to scale!
  7. 7. Workshop Identity
  8. 8. Knowledge Graphs
  9. 9. Semantics
  10. 10. Scale
  11. 11. Pitfalls
  12. 12. Knowledge Graphs & Semantics Understanding the interplay
  13. 13. Knowledge Graphs are interconnected entities under shared semantics Not something really new but rather a rebranding of terms like semantic networks, knowledge bases, ontologies, linked data If you have been designing database schemas, taxonomies, ontologies or other types of structured data, you already know a lot about knowledge graphs. What you may have missed is the shared semantics aspect!
  14. 14. RDF, Property Graphs, JSON-LD, NoSQL, ... Small, medium, large, densely connected, sparsely connected, ... Concrete entities, abstract entities, “real-world” entities, hierarchical relations, entity attributes, relation attributes, associative relations, constraints, axioms, rules, ... Single domain, multiple domains, single context, multiple context Data Analytics, Data Integration, Semantic search, Question answering, Reasoning Important (but non-defining) dimensions of Knowledge Graphs TECHNOLOGY STACK SIZE AND CONNECTIVITY EXACT NATURE OF ELEMENTS SCOPE PURPOSE
  15. 15. Crucial dimensions of Knowledge Graphs MEANING ACCURACY How correct/accurate is the meaning of each entity, relation or other element for all people and systems that use the graph. MEANING EXPLICITNESS How clear and unambiguous is the meaning of each entity, relation or other element for all people and systems that use the graph. MEANING AGREEMENT How commonly acceptable is the meaning of each entity, relation or other element among the people and systems that use the graph.
  16. 16. “Enemies” of accuracy, explicitness and agreement AMBIGUITY VAGUENESS BAD MODELING DIVERSITY/VARIETY SEMANTIC CHANGE
  17. 17. Semantics CSI Investigating bad semantic modeling practices
  18. 18. The “Crime” Scenes SNOMED: A systematically organized computer processable collection of medical terms providing codes, terms, synonyms and definitions used in clinical documentation and reporting KBPedia: A comprehensive knowledge structure combining seven 'core' public knowledge bases — Wikipedia, Wikidata, schema.org, DBpedia, GeoNames, OpenCyc, and UMBEL — into an integrated whole
  19. 19. The “Crime” Scenes Schema.org: A collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet, on web pages, in email messages, and beyond. DBPedia: A large knowledge graph automatically extracted from Wikipedia infoboxes
  20. 20. The “Crime” Scenes ESCO: A knowledge graph about occupations, skills and qualifications for the European Labour Market, built by the European Commision
  • ErdiLMEZOULLARI

    Jun. 21, 2020

Do you have experience in data modeling, or using taxonomies to classify things, and want to upgrade to modeling knowledge graphs? This hands-on workshop with one of the leading knowledge graph practitioners will help you get started. Parts 1 & 2

Vues

Nombre de vues

1 704

Sur Slideshare

0

À partir des intégrations

0

Nombre d'intégrations

137

Actions

Téléchargements

44

Partages

0

Commentaires

0

Mentions J'aime

1

×