"Putting Intelligence on and in the Web"

2/10/1999: [time not recorded]
[location not recorded]

Abstract: Many researchers in the knowledge-system area are relating their work to the Web. Two often seen examples of this are (1) to use the Web as a test domain to try out knowledge technology, and (2) to use the Web to make knowledge technology more widely available. In this talk, examples will be given of both approaches. The (KA)2 initiative is concerned with "intelligent" retrieval from the Web, while the IBROW project aims at using the Web to enable global reuse of knowledge-intensive components. The Knowledge Annotation Initiative of the Knowledge Acquisition Community, (KA)2 is an initiative to develop an ontology that models the knowledge acquisition community (its researchers, topics, products, etc.). This ontology will form the basis to annotate WWW documents of the KA community in order to enable intelligent access to these documents. (KA)2 is an open joint-initiative where the participants are actively involved in (i) a distributive ontological engineering process to model the knowledge acquisition community (a domain ontology), and (ii) annotating web pages relevant for the KA community (the instances of the domain ontology). (KA)2 aims at intelligent knowledge retrieval from the Web and automatic derivation of ``new'' knowledge. In other words, it aims at knowledge-based reasoning on the Web, as opposed to information retrieval. Another objective of the initiative is to get better insight in distributive ontological engineering processes. The World-Wide Web is changing the nature of software development to a distributive plug play process. This requires a new way of managing software by so-called intelligent software brokers. The aim of the European IBROW project is to develop an intelligent brokering service that enables third party knowledge-component reuse through the World-Wide Web. Suppliers provide libraries of knowledge components adhering to some standard, and customers can consult these libraries --through intelligent brokers-- to configure a knowledge system suited to their needs by selection and adaptation. IBROW integrates research on heterogeneous databases, interoperability and web technology with knowledge-system technology and ontologies. The aim is to develop a broker that can handle web requests for classes of knowledge system (e.g. diagnostic systems) by accessing libraries of reusable problem-solving methods on the Web, and selecting, adapting and configuring these methods in accordance with the domain at hand.

Last updated: Mon Jun 19 17:44:06 2006