Semantic Search: (SemSearch 2008)

The Third Intercontinental Meeting of Hair Research Societies

International Workshop

Others  :  http://CEUR-WS.org/Vol-334/semsearch08-complete-proceedings.pdf
PID  :  9786

来源: CEUR

【 摘 要 】

In recent years, we have witnessed tremendous interest and substantial economic exploitation of search technologies, both at web and enterprise scale. However, the representation of user queries and resource content in existing search appliances is still almost exclusively achieved by simple syntax-based descriptions of the resource content and the information need such as in the predom-inant keyword-centric paradigm. While systems working on the basis of these rough approximations have shown to work well for topical search, they usually fail to address more complex information needs. Semantic technologies, namely expressive ontology and resource description languages, scalable repositories, reasoning engines and information extraction techniques are now in a mature state such that they can be applied to enable a higher level of semantic underpinning in real-world Information Retrieval (IR) systems. This application of semantic technologies to IR tasks is usually referred to as Semantic Search and the field can be roughly organized along three main topic clusters.