1. Low-cost semantics-enhanced web browsing with Magpie Enrico Motta Knowledge Media Institute The Open University, UK

2. Structure of the talk The two minutes introduction to the semantic web HLT for the Semantic Web: Low cost, high value solutions –“A little semantics goes a long way” (Jim Hendler) –“A little semantics + a little HLT goes even further…” (Enrico Motta) Semantic web browsing with Magpie Conclusions

3. What is the semantic web?

6. Enrico Motta kmi director enrico motta Enrico Motta e.motta@open.ac.uk <akt:hasHomePage rdf:resource="http://kmi.open.ac.uk/people/motta/"/>

7. Advantages of semantics (1) Keyword Search -> semantic search Promise of increased precision

8. Demo: Semantic Search vs Keyword Search

9. Ontologies + HLT = Understanding Academic hasAffiliation hasAddress hasWebAddress... Linguistic vs Conceptual Interoperablity “Peter Scott’s Home Page”

10. Aqualog

11. Agents on the Web Enrico’s Semantic Agent Please get me an appointment with a dealer nearby which sells Naim & Royd for Saturday morning

12. Basic components of a semantic web Infrastructure –Languages –Ontologies & Repositories Ontology Learning –Annotation tools Automatic extraction of semantic content –MnM, Melita, Armadillo, OntoMat, Annie, ESpotter –Semantic Web Services Platforms Basic Functionalities –Semantic Search Question Answering –Brokering and composition of semantic web services

13. Applying HLT to Semantic Web: What works and what does not

15. The trouble with MnM Manual Annotation is a slow process Not clear what benefits one gets from annotation –Chicken&egg problem Automated annotation in MnM requires a learning phase and manual markup –No free lunch for users Training phase requires HLT skills Overall cost/benefit tradeoff is negative

16. Magpie: Getting an excellent cost/benefit ratio

17. Low Cost Semantics Focus on ontology based semantic enrichment of web pages Browsing -> Semantic Browsing Zero cost for end user –Zero work (for end user) –Zero time overhead –Zero cognitive overhead –Integrated with standard web browsers –Minimal changes to look and feel of web pages –One-click (or less) interface

18. More about Magpie User requested (pull) and trigger (push) semantic services Simple but effective use of HLT technology

24. A B D E C A … iconic representation of browsing history B … syntactic neighbourhood of a web page C … semantic footprint of a web page in selected ontology D … high-level semantic filtering/querying of browsing history

25. Architecture (old) Ontology based Proxy Server Lexicon Web Page Enriched Web Page Semantic Log (found-item 3275578832 localhost #u"http://localhost/people/ motta/" john-domingue john- domingue) (found-item 3275578832 localhost

26. Application areas Semantics-assisted browsing –Pick an ontology and off you go! Educational tool –Ontology-based interpretation of scientific publications and resources –Web browsing independent from the document author’s intention; customizable by uni/college –Many applications being discussed Science, semweb community, ISP providers, publishers, etc..

29. Supporting Collaborative Work Semantic annotations & semantic log serve as a team memory Team members benefit from colleagues’ semantic annotations and their browsing history Synchronous alerts and communication using a KMi Jabber/XML infrastructure (BuddySpace)

30. Things to do (1) Integration with semantic web services –IRS-II platform ‘Turn the key’ solution –Open to ontology languages and services –One click select ontology and generate lexicon facility Integration with generic named entity recognition Integration with mini-ontology browser Ability to use existing semantic annotations Integration with annotation tools

31. Things to do (2) Magpie as web site specification framework Versions for other platforms –Currently only IE on PCs Magpie-assisted search –Magpie-Google - launch Google and then filter results through magpie –Magpie-crawling - crawler finds pages related to current ontology Magpie robot that finds web pages which make sense for ontology Collaboration & Customization

32. Web Resources Ontologies Lexicon Semantic Services

33. Conclusions Focus on usability and integration of semantic and language technologies Low cost solutions Semantic web provides a great new playground for HLT research –However old problems get new twists Magpie is an example of a low-cost, “low tech” integration of HLT and semweb technology, which appears to work