Exploiting Information Extraction and the Semantic Web at Yahoo Search

We have developed a semantic search application that uses key semantic web con- cepts for information retrieval and also technologies such as mapping, triple store and SPARQL

The Web application presented in this work focuses on: (i) semantic recommen- dation of papers; (ii) novel semantic search & retrieval of papers; (iii) data inter- linking

The current work semantic web resources ranking is by adapting and modifying pagerank algorithm used in classical search engines.. ReConRank [11], TripleRank[12] adapt

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

2 http://www.museosuomi.fi/.. the RDF contents: 1) Semantic search based on semantic autocompletion and seman- tic categorization of results. 2) Relational search perspective

information extraction from the structure of the text, the module for named entity recognition (location, dates, etc), semantic filters, modules for the extraction of specific

To achieve this goal, the following main tasks need to be solved: analyze the existing semantic search technologies used by search engines and identify the main tasks

semantic web, linked data, DBpedia, semantic spreading activation, exploratory search system, discovery