A User-Aware and Semantic Approach for Enterprise Search
Giacomo Cabri and
Riccardo Martoglia
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Giacomo Cabri: University of Modena and Reggio Emilia, Modena, Italy
Riccardo Martoglia: FIM Department, University of Modena and Reggio Emilia, Modena, Italy
International Journal on Semantic Web and Information Systems (IJSWIS), 2018, vol. 14, issue 4, 129-146
Abstract:
This article describes how in addition to general purposes search engines, specialized search engines have appeared and have gained their part of the market. An enterprise search engine enables the search inside the enterprise information, mainly web pages but also other kinds of documents; the search is performed by people inside the enterprise or by customers. This article proposes an enterprise search engine called AMBIT1-SE that relies on two enhancements: first, it is user-aware in the sense that it takes into consideration the profile of the users that perform the query; second, it exploits semantic techniques to consider not only exact matches but also synonyms and related terms. It performs two main activities: (1) information processing to analyse the documents and build the user profile and (2) search and retrieval to search for information that matches user's query and profile. An experimental evaluation of the proposed approach is performed on different real websites, showing its benefits over other well-established approaches.
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jswis0:v:14:y:2018:i:4:p:129-146
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