SemIndex: Semantic-Aware Inverted Index

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 her...

Full description

Saved in:
Bibliographic Details
Published inAdvances in Databases and Information Systems pp. 290 - 307
Main Authors Chbeir, Richard, Luo, Yi, Tekli, Joe, Yetongnon, Kokou, Ibañez, Carlos Raymundo, Traina, Agma J. M., Traina, Caetano, Al Assad, Marc
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2014
SeriesLecture Notes in Computer Science
Subjects
Inverted lndex
NoSQL indexing
Ontologies
Semantic Network
Semantic Queries
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:9783319109329
3319109324
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-10933-6_22