Needle Custom Search: Recall-oriented search on the web using semantic annotations
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Publication date
2014-04-13
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Abstract
Web search engines are optimized for early precision, which makes it difficult to perform recall-oriented tasks using these search engines. In this article, we present our tool Needle Custom Search. This tool exploits semantic annotations of Web search results and, thereby, increase the efficiency of recall-oriented search tasks. Semantic annotations, such as temporal annotations, named entities, and part-of-speech tags are used to rerank and cluster search result sets.
Keywords
Needle Custom Search, Information Retrieval, text mining, Web search engines, recall, precision, semantics, annotations, part-of-speech tags, reranking, entities, clustering, General Computer Science, Theoretical Computer Science, Information Systems
Citation
Kaptein, R, Koot, G, Huis in 't Veld, M A A & van den Broek, E L 2014, Needle Custom Search : Recall-oriented search on the web using semantic annotations. in Lecture Notes in Computer Science. vol. 8416, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8416 LNCS, Springer, pp. 750-753, 36th European Conference on Information Retrieval, ECIR 2014, Amsterdam, United Kingdom, 13/04/14. https://doi.org/10.1007/978-3-319-06028-6_88, conference