1. A Vigil on the Semantic Web Bruce Spencer NRC-IIT Fredericton Aug 22, 2001

2. Abstract Much of the AI community that met at IJCAI in August 2001 was discussing the "Semantic Web", a proposal by the inventor of the web, Tim Berners-Lee, and others to adding meaning to terms for items found on the web, with a view to making the web interactions more accurate and more easily automated. Several US and European projects are concerned with creating and using taxonomies of terms in web page design and retrieval, and are supported by W3C and DARPA. The DAML+OIL language, a joint US-European project, proposes to add Resource Description Framework (RDF) to Extensible Markup Language (XML), tagging web content with meta-tags containing links to ontologies, as well as facts and rules that describe the intended use of the content. This draws from a quarter century of work in knowledge representation and reasoning systems by the artificial intelligence community. In this talk I will explain the goals and achievements of the Semantic Web effort to date, and point out (some of) the remaining hurdles, and assuming that they are cleared, what these researchers expect to emerge. Interoperation among applications that exchange machine-understandable information will allow automated processing of web resources, and this has many applications in ecommerce. I will close with a suggestion how the IIT-Fredericton's Security/Privacy, Multi-Agent and "One Web" thrusts can be aligned with these international efforts.

3. Five main points Tim Berners-Lee’s vision –web information should be machine understandable Taxonomies of words shared within web communities –no single ontology RDF: meta-tags link XML tags to their roles US and European buy-in –Where’s Canada Aligns with IIT Fredericton’s thrusts –multi-agent, security, OneWeb, voice

4. Identifying Resources URL/URI –Uniform resource locator / indicator –Information sources, goods and services –financial instruments money, options, investments, stocks, etc. “Where do you want to go today?” –becomes “What do you want to find?”

5. Ontology Branch of metaphysics dealing with the philosophical theory of reality Tarski: individuals, relationships and roles “A common vocabulary and agreed-upon meanings to describe a subject domain” –What real-world objects do my tags refer to? –How are these objects related? Communication requires shared terms –others can join in

6. What your computer sees in HTML Joe’s Computer Store 365 Yearly Drive What your computer sees in XML Joe’s Computer Store 365 Yearly Drive Presentation information Content description (ambiguous)

7. What a computer could understand Joe’s Computer Store 365 Yearly Drive www.canadapost.ca could define address, name, street, … Search engines could then identify mail addresses Consider shopbots being able to find –price, quantity, feature, model number, supplier, serial number, acquisition date Assumes that namespaces will be used consistently

8. Semantic Web An agent-enabled resource “information in machine-readable form, creating a revolution in new applications, environments and B2B commerce” Launched Feb 9, 2001 DAML: DARPA Agent Markup Language –US Gov funding to define languages, tools –16 project teams OIL is Ontology Inference Layer –DAML+OIL is joint DARPA-EU KR a natural choice

10. Tim Berners- Lee’s Semantic Web

11. RDF Resource Description Framework Beginning of Knowledge Representation influence on Web Akin to Frames, Entity/Relationship diagrams, or Object/Attribute/Value triples

12. RDF Example about= “http://www.lemoncomputers.ca/model_2300”> yellow medium model_2300 size medium colour yellow

13. RDF Class Hierarchy All lemon laptops get packed in cardboard boxes Allows one to customize existing taxonomies –Example: palmtop computers still get packed in boxes lemon_palmtop_ 20000 is_a model_2300 size medium colour yellow

14. Tim Berners- Lee’s Semantic Web

15. Ontology Layer Widens interoperability and interconversion –knowledge representation More meta-information –Which attributes are transitive, symmetric –Which relations between individuals are 1-1, 1-many, many-many Communities exist –DL, OIL, SHOE (Hendler) –New W3C working group

16. Transitive, Subrole example One wants to ask about modes of transportation from Sydney to Fredericton “connected by Acadian Lines bus” is a role in a Nova Scotia taxonomy “connected by SMT bus” from New Brunswick Both are subroles of “connected” “connected” is transitive Note that ontologies can be combined at runtime

17. Combining Rich Ontologies Only these facts are explicit –in separate ontologies “Connected by bus” –is superset –is symmetric and transitive Route from Sydney to Fredericton is inferred Connected by Acadian Lines Sydney Truro Amherst Fredericton Connected by SMT Lines Sussex Connected by SMT Lines Amherst

18. Tim Berners- Lee’s Semantic Web

19. Logic Layer Clausal logic encoded in XML –RuleML, IBM CommonRules Special cases of first-order logic –Horn Clauses for if-then type reasoning and integrity constraints Standard inference rules based on Resolution –Various implementations: SQL, KIF, SLD (Prolog), XSB –I’ve developed reasoning tools in Java. Modus operandi: build tractable reasoning systems –trade some expressiveness

20. Logic Architecture Example Contracting parties integrate e-businesses via rules Business Rules Business Rules OPS5 Prolog Contract Rules Interchange Seller E-Storefront Buyer’s ShopBot

21. Negotiation via rules price(per-unit, ?PO, $60)  purchaseOrder(?PO, supplierCo, ?AnyBuyer)  shippingDate(?PO, ?D)  (?D  24April2001). price(per-unit, ?PO, $55)  purchaseOrder(?PO, supplierCo, ?AnyBuyer)  quantityOrdered(?PO, ?Q)  (?Q  1000)  shippingDate(?PO, ?D)  (?D  24April2001). overrides(volumeDiscount, usualPrice).

22. Eventual Goal of these Efforts Agents locate goods, services –use namespaces, ontologies –unambiguous –business rules –expressive language but reasoning tractable –combine from various sources Gives rise to needs trust, privacy and security –e.g. semantic web project to determine eligibility of patients for a clinical trial

23. Aligning with IIT’s identified thrusts Privacy –Tim Berners-Lee’s “Web of Trust” digital signatures Multi Agents Systems One Web –high degree of interoperability –shared ontologies need to be multilingual and multicultural

24. What could IIT-Fredericton do? W3C working group on Semantic web ontologoes announced Aug 13 –request for participants –We need to be poised to adopt emerging standards. Build prototypes –with an industrial partner resource location (goods and services) procurement markup-for-free match ontologies

25. What could IIT-Fredericton do? International partners: –DFKI (Germany) Harold Boley –Rutherford Appleton (UK) Theo Dimitrakos Easy reading “Agents and the Semantic Web” IEEE Intelligent Systems Journal March/April 2001, James Hendler. “The Semantic Web” Scientific American, June 2001, Tim Berners-Lee, James Hendler, Ora Lassila.