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.
| Identifer | oai:union.ndltd.org:PERUUPC/oai:repositorioacademico.upc.edu.pe:10757/344330 |
| Date | 10 February 2015 |
| Creators | Chbeir, Richard, Luo, Yi, Tekli, Joe, Yetongnon, Kokou, Raymundo Ibañez, Carlos Arturo, Traina, Agma J. M., Traina Jr, Caetano, Al Assad, Marc, Universidad Peruana de Ciencias Aplicadas (UPC) |
| Publisher | Springer International Publishing |
| Source Sets | Universidad Peruana de Ciencias Aplicadas (UPC) |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/article |
| Source | Universidad Peruana de Ciencias Aplicadas (UPC), Repositorio Académico - UPC |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | http://link.springer.com/chapter/10.1007/978-3-319-10933-6_22 |
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