Upgraded SemIndex Prototype supporting Intelligent Database Keyword Queries through Disambiguation, Query As You Type, and Parallel Search Algorithms
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Titre | Upgraded SemIndex Prototype supporting Intelligent Database Keyword Queries through Disambiguation, Query As You Type, and Parallel Search Algorithms |
Type de publication | Conference Paper |
Year of Publication | 2018 |
Auteurs | Tekli J, Chbeir R, Traina AJM, Jr CTraina, Yetongnon K, Ibanez CRaymundo, Kallas C |
Conference Name | 2018 IEEE INTERNATIONAL CONFERENCE ON COGNITIVE COMPUTING (ICCC) |
Publisher | IEEE; IEEE Comp Soc; CCF, TCSC |
Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
ISBN Number | 978-1-5386-7241-9 |
Mots-clés | Disambiguation, Inverted index, Semantic Network, Semantic Queries, Semantic Search, Textual Database |
Résumé | This paper describes an upgraded version of the SemIndex prototype system for semantic-aware search in textual SQL databases. Semantic-aware querying has emerged as a required extension of the standard containment keyword-based query to meet user needs in textual databases and IR applications. Here, we build on top of Semindex, a semantic-aware inverted index previously developed by our team, to allow semantic-aware search, result selection, and result ranking functionality. Various weighting functions and intelligent search algorithms have been developed for that purpose and will be presented here. A graphical interface was also added to help end-users write and execute queries. Preliminary experiments highlight SemIndex querying effectiveness and efficiency, considering different querying algorithms, different semantic coverages, and a varying number of query keywords. |
DOI | 10.1109/ICCC.2018.00012 |