loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Jaime I. Lopez-Veyna ; Victor J. Sosa-Sosa and Ivan Lopez-Arevalo

Affiliation: Center of Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV), Mexico

Keyword(s): Keyword Search, Indexing, Databases, Top-k, Virtual Documents.

Related Ontology Subjects/Areas/Topics: Applications ; Business Analytics ; Data Engineering ; Information Retrieval ; Ontologies and the Semantic Web ; Pattern Recognition ; Semi-Structured and Unstructured Data ; Software Engineering

Abstract: It is clear that in recent years the amount of information available in a variety of data sources, like those found on the Web, has presented an accelerated growth. This information can be classified based on its structure in three different forms: unstructured (free text documents), semi-structured (XML documents) and structured (a relational database or XML database). A search technique that has gained wide acceptance for use in massive data sources, such as the Web, is the keyword based search, which is simple to people who are familiar with the use of Web search engines. Keyword search has become an alternative to users without any knowledge about formal query languages and schema used in structured data. There are some traditional approaches to perform keyword search over relational databases such as Steiner Trees, Candidate Networks and recently Tuple Units. Nevertheless these methods have some limitations. In this paper we propose a Virtual Document (VD) approach for keyword s earch in databases. We represent the structured information as graphs and propose the use of an index that captures the structural relationships of the information. This approach produce fast and accuracy results in search responses. We have conducted extensive experiments on large-scale real databases and the results demonstrates that our approach achieves high search efficiency and high accuracy for keyword search in databases. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 52.90.131.200

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
I. Lopez-Veyna, J.; J. Sosa-Sosa, V. and Lopez-Arevalo, I. (2012). A Virtual Document Approach for Keyword Search in Databases. In Proceedings of the International Conference on Data Technologies and Applications - DATA; ISBN 978-989-8565-18-1; ISSN 2184-285X, SciTePress, pages 39-48. DOI: 10.5220/0004048700390048

@conference{data12,
author={Jaime {I. Lopez{-}Veyna}. and Victor {J. Sosa{-}Sosa}. and Ivan Lopez{-}Arevalo.},
title={A Virtual Document Approach for Keyword Search in Databases},
booktitle={Proceedings of the International Conference on Data Technologies and Applications - DATA},
year={2012},
pages={39-48},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004048700390048},
isbn={978-989-8565-18-1},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the International Conference on Data Technologies and Applications - DATA
TI - A Virtual Document Approach for Keyword Search in Databases
SN - 978-989-8565-18-1
IS - 2184-285X
AU - I. Lopez-Veyna, J.
AU - J. Sosa-Sosa, V.
AU - Lopez-Arevalo, I.
PY - 2012
SP - 39
EP - 48
DO - 10.5220/0004048700390048
PB - SciTePress