Exploiting Information Extraction and the Semantic Web at Yahoo Search

To investigate the potential and suitability of language- processing-based approaches for semantic music information extraction from (Web-)texts, two strategies commonly used in

The facility is based on the concept of EASD including a complex model for explanation generation.. That means that the provision of explanations is an integral part of the

Thus, we propose an IR system, called SENSE (SEmantic N-levels Search Engine), which manages documents indexed at multiple separate levels: keywords, senses (word mean- ings)

The approach is based on (i) using ontological (unions of) con- junctive queries (which may contain negated subqueries) as Semantic Web search queries, (ii) combining standard

Finally, when a retrieved answer is to be inserted in the user edited docu- ment ((rich) text area), in order to preserve the semantic markup, since the user produced content is

It offers an efficient search and result set filtering mechanism, highlighting and semi-automatic question answering with the ontological background knowledge.. To facilitate the

Search- Monkey contributes to the transformation from the current web to a Semantic Web by creating an ecosystem of developers, publishers and end-users where all participants

a class based representation of documents on carousels, a stack structure of classes according to their ranking, and a meta carousel for the localization of class stacks associ-