SemIndex: Semantic-Aware Inverted Index

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TitreSemIndex: Semantic-Aware Inverted Index
Type de publicationConference Paper
Year of Publication2014
AuteursChbeir R, Luo Y, Tekli J, Yetongnon K, Ibanez CRaymundo, Traina AJM, , Assad MAl
EditorManolopoulos Y, Trajcevski G, KonPopovska M
Conference NameADVANCES IN DATABASES AND INFORMATION SYSTEMS (ADBIS 2014)
PublisherMinist Informat Soc & Adm Ss Cyril; Univ Ss Cyril & Methodius, Fac Comp Sci & Engn; ICT ACT Assoc; Municipal Ohrid
Conference LocationGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
ISBN Number978-3-319-10933-6; 978-3-319-10932-9
Mots-clésInverted lndex, NoSQL indexing, ontologies, Semantic Network, Semantic Queries
Résumé

This paper focuses on the important problem of semantic-aware search in textual (structured, semi-structured, NoSQL) databases. This problem has emerged as a required extension of the standard containment keyword based query to meet user needs in textual databases and IR applications. We provide here a new approach, called SemIndex, that extends the standard inverted index by constructing a tight coupling inverted index graph that combines two main resources: a general purpose semantic network, and a standard inverted index on a collection of textual data. We also provide an extended query model and related processing algorithms with the help of SemIndex. To investigate its effectiveness, we set up experiments to test the performance of SemIndex. Preliminary results have demonstrated the effectiveness, scalability and optimality of our approach.