Paper Info
Title
Semantic Enrichment of Database Textual Attributes
Abstract
Textual attributes in relational databases contain useful information that sometimes is not handled in a proper way. Syntactic querying of textual fields provides only superficial information, avoiding issues related to the semantics of data. In order to extract relevant information from these fields, a text mining process is conducted. The AP-Sets mining structure allows the building of an intermediate representation for texts based on the Apriori property. This intermediate form has the shape of a lattice of text itemsets, and can be translated into a basic ontology using semantic relations extracted from WordNet lexical database. The ontology generated can be seen as a summarized structured description of the contents of the textual attribute. Furthermore, it adds semantic capabilities to the query process on textual attributes.
Year
DOI
Venue
2009
10.1007/978-3-642-04957-6_42
FQAS
Keywords
Field
DocType
basic ontology,intermediate form,query process,textual attribute,semantic enrichment,database textual attributes,ap-sets mining structure,textual field,relevant information,superficial information,useful information,intermediate representation,relational database,text mining
Ontology,Relational database,Computer science,Lexical database,Apriori algorithm,Artificial intelligence,Natural language processing,WordNet,Syntax,Semantic computing,Information retrieval,Semantics,Database
Conference
Volume
ISSN
Citations 
5822
0302-9743
3
PageRank 
References 
Authors
0.39
11
4
Name
Order
Citations
PageRank
Jesús R. Campaña15511.39
María J. Martín-Bautista21339.90
Juan M. Medina3142.75
María Amparo Vila Miranda4118293.57