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.
This event took place on Tuesday 04 March 2008 at 11:30
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.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Social Software is...
Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.
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