A query construction service for large-scale web search engines
| A query construction service for large-scale web search engines | |
| Author(s) | Papadakis I., Stefanidakis M., Stamou S., Andreou I. |
| Editor(s) | Unknown [+] |
| Published in | Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009 |
| Date | 2009 |
| Volume | 3 |
| Issue | Unknown [+] |
| Page(s) | 96–99 |
| Keyword(s) | Unknown [+] (Extra: Query construction, Semantic orientation, User need, Web information, Web searcher, Web users, Wikipedia, Construction industry, Information retrieval systems, Intelligent agents, Semantics, Websites, Search engines) |
| Peer-reviewed? | Unknown [+] |
| Language(s) | English |
| License(s) | Unknown [+] |
| Identifiers | |
| ISBN | 9780769538013 |
| DOI | 10.1109/WI-IAT.2009.239 |
| OCLC Number | Unknown [+] |
| CiteULike | Unknown [+] |
| arXiv | Unknown [+] |
| PubMed | Unknown [+] |
| Related material | |
| Concept(s) | Unknown [+] |
| Tool(s) | Unknown [+] |
| Dataset(s) | Unknown [+] |
| Slides | Not available [+] |
| Presentation | Not available [+] |
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A query construction service for large-scale web search engines is a 2009 conference paper written in English by Papadakis I., Stefanidakis M., Stamou S., Andreou I. and published in Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009.
[edit] Abstract
Despite their wide usage, large-scale search engines are not always effective in tracing the best possible information for the user needs. There are times when web searchers spend too much time searching over a large-scale search engine. When (if) they eventually succeed in getting back the anticipated results, they often realize that their successful queries are significantly different from their initial one. In this paper, we introduce a query construction service for assisting web information seekers specify precise and unambiguous queries over large-scale search engines. The proposed service leverages the collective knowledge encapsulated mainly in the Wikipedia corpus and provides an intuitive GUI via which web users can determine the semantic orientation of their searches before these are executed by the desired engine.
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