1 1 1 Berendt: Advanced databases, first semester 2008, Advanced databases – Semantic Web Mining.

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Presentation transcript:

1 1 1 Berendt: Advanced databases, first semester 2008, Advanced databases – Semantic Web Mining Bettina Berendt Katholieke Universiteit Leuven, Department of Computer Science Last update: 3 December 2008

2 2 2 Berendt: Advanced databases, first semester 2008, Recap: “Standard” inference on the Semantic Web Match? To determine if there is a match, these questions must be answered: 1. What's the relationship between "SLR" and "Camera"? 2. What's the relationship between "focal-length" and "size"? 3. What's the relationship between "f-stop" and "aperture"? <PhotographyStore rdf:ID="Hunts" xmlns:rdf="&rdf;#"> Malden, MA <SLR rdf:ID="Olympus-OM-10" xmlns=" mm zoom seconds 325 USD I am interested in purchasing a camera with a mm zoom lens size, that has an aperture of , and a shutter speed that ranges from 1/500 sec. to 1.0 sec.

3 3 3 Berendt: Advanced databases, first semester 2008, But what about such situations? (1) [Queries and Smeagol from Grimnes (2008)] - But while the available knowledge bases know about Semantic Web experts, they don‘t have records of their publications - But while Bob has ranked several multi-media items before, he has not ranked any movies or books yet

4 4 4 Berendt: Advanced databases, first semester 2008, But what about such situations? (2) - But while the knowledge bases know about the interests of Alice‘s husband and colleagues, they don‘t know about Alice‘s - But while Bob has sent some s to Alice, and some as CC to her, none of them contain any topic information SELECT ?interest

5 5 5 Berendt: Advanced databases, first semester 2008, An application scenario for the Semantic Web: The Semantic Desktop From... Via... To...

6 6 6 Berendt: Advanced databases, first semester 2008, The big picture: Semantic Web Mining – a vision Slides: (hyperlinked on the Lecture Homepage)

7 7 7 Berendt: Advanced databases, first semester 2008, Query 3

8 8 8 Berendt: Advanced databases, first semester 2008, Query 2 – an unsuccessful attempt

9 9 9 Berendt: Advanced databases, first semester 2008, Query 2

10 Berendt: Advanced databases, first semester 2008, Query 1

11 Berendt: Advanced databases, first semester 2008, Some background: Clustering RDF instances Slides: (hyperlinked on the Lecture Homepage) Note how this complements schema-based ontology matching with instance-based matching (of Semantic Web content that may or may not refer to ontologies)!  „Lightweight“ solutions, or: The Semantic Web focusing on data and their integration (as opposed to focusing on formal semantics)

12 Berendt: Advanced databases, first semester 2008, Literature Stumme, G., Hotho, A., & Berendt, B. (2006). Semantic Web Mining: State of the Art and Future Directions. Journal of Web Semantics, 4(2), Gunnar Aastrand Grimnes (2008). A Goal Directed Learning Agent for the Semantic Web. PhD Thesis, Department of Computing Science, University of Aberdeen.