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SemIndex: Semantic-Aware Inverted Index
- Source :
- Universidad Peruana de Ciencias Aplicadas (UPC), Repositorio Académico-UPC, UPC-Institucional, Universidad Peruana de Ciencias Aplicadas, instacron:UPC
- Publication Year :
- 2015
- Publisher :
- Springer International Publishing, 2015.
-
Abstract
- carlos.raymundo@upc.edu.pe This paper focuses on the important problem of semanticaware 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. This study is partly funded by: Bourgogne Region program, CNRS, and STIC AmSud project Geo-Climate XMine, and LAU grant SOERC-1314T012. Revisión por pares
- Subjects :
- Inverted lndex
NoSQL indexing
Ontologies
Semantic Queries
Semantic Network
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Universidad Peruana de Ciencias Aplicadas (UPC), Repositorio Académico-UPC, UPC-Institucional, Universidad Peruana de Ciencias Aplicadas, instacron:UPC
- Accession number :
- edsair.od......3056..a9b5e289cb714ed84261e07c1a0aa6bd