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KMi Seminars
Evolving Web, Evolving Search
This event took place on Tuesday 04 March 2008 at 11:30

 
Prof. Yong Yu Shanghai Jiao Tong University

Web is evolving from time to time, more and more intelligent search engines are also emerging over time. the Traditional Web is composed of many unstructured Web pages. These pages are linked together and mainly for human reading. We focus on how to crawl more pages, improve search relevance or make search interactions simpler. Accordingly, we build the general search engines, the vertical search engines and the meta search engines. The emergence of Web 2.0 lowers the barrier for contribution. More people are involved and make the Web social. We focus on how to elaborate user involved data. Accordingly, we develop blog search, wiki search and tag enhanced search. The Semantic Web is composed of structured interlinked data. These data includes schema, axiom definitions and related assertions. It is mainly for machine understanding. We focus on how to learn or populate ontologies from the traditional Web, do search on the combination of Web ontology and Web pages, integrate reasoning with search to the Web scale or do semantic search using keyword queries.

 
KMi Seminars
 

Semantic Web and Knowledge Services is...


Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...

Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.