1. Web3.0 and Language Resources Knowledge Media Institute (KMi) The Open University Semantic Technologies @ KMi
2.
3.
4. Knowledge-level Architectures for Sharing and Reuse Application of the modelling paradigm to the specification and use of libraries of reusable components for knowledge systems Knowledge-level Architectures for Sharing and Reuse
48. Knowledge fusion scenario RDF Images Other data Annotation Fusion Text Internal corporate reports (Intranet) Pre-defined public sources (WWW) Domain ontology KnoFuss Knowledge base
55. New paradigm: use of background knowledge A B Background Knowledge (external source) A’ B’ R R
56.
57. The Question is … How to combine online ontologies to derive mappings?
58. Strategy 1 - Definition Find ontologies that contain equivalent classes for A and B and use their relationship in the ontologies to derive the mapping. A B rel Semantic Web A 1 ’ B 1 ’ A 2 ’ B 2 ’ A n ’ B n ’ O 1 O 2 O n For each ontology use these rules: … These rules can be extended to take into account indirect relations between A’ and B’, e.g., between parents of A’ and B’:
59. Strategy 1- Examples But what if there exists no ontology that contains both A and B? ka2.rdf Researcher AcademicStaff Semantic Web Researcher AcademicStaff ISWC SWRC Beef Food Semantic Web Beef RedMeat Tap Food MeatOrPoultry SR-16 FAO_Agrovoc
60. Strategy 2 - Definition Principle: If no ontologies are found that contain the two terms then combine information from multiple ontologies to find a mapping. A B rel Semantic Web A’ B C C’ B’ rel rel Details: (1) Select all ontologies containing A’ equiv. with A (2) For each ontology containing A’: (a) if find relation between C and B. (b) if find relation between C and B. Details: (1) Select all ontologies containing A’ equiv. with A (2) For each ontology containing A’: (a) if find relation between C and B. (b) if find relation between C and B.
61. Strategy 2 - Examples Vs. (midlevel-onto) (Tap) Ex1: Vs. Ex2: (r1) (pizza-to-go) (SUMO) (Same results for Duck, Goose, Turkey) (r1) Vs. Ex3: (pizza-to-go) (wine.owl) (r3)
62.
63.
64.
65.
66. is a Search Engine for the Semantic Web Gateway
74. Next Generation Semantic Web Applications WATSON enables a new generation of Semantic Web applications that need to access and reuse semantic information distributed on the entire Web.
79. PowerAqua Open domain QA by exploring distributed semantic data. Natural language question Answers from online semantic data
80.
Hinweis der Redaktion
The rest of the talk focuses on specific results we have obtained in the past 12 months, so I won’t really spend any time on discussing this NGSW paradigm in any detail. If you guys are interested in finding out more, we published the ‘definitive paper’ a few months ago, which describes the vision, relation to the evolution of AI, tech infrastructure, and concrete technologies;