SEFOS: Semantic enriched fuzzy based ontological integration of web data tables

Author

Vigneshwari, S.

Author_Institution

Dept. of Comput. Sci. & Eng., Sathyabama Univ., Chennai, India

fYear

2015

fDate

19-20 March 2015

Firstpage

1

Lastpage

4

Abstract

Ontology based Data Integration (ONDINE) is an approach to integrate web data from heterogeneous resources with the help of ontologies. The ONDINE system is enhanced for querying the data warehouse opened in the web and updating the data. Using the ontological and terminological resources (OTR) we can load and query the data from the data warehouse. Especially, the system extracts the tables from multiple web pages and annotates the symbols and numeric constants in separated columns. The output in XML/RDF formats represents the fuzzy annotation of the integrated data tables. Using SPARQL, the fuzzy sets from the fuzzy RDF annotations are retrieved. In the proposed SEFOS system, fuzzy DL is used for querying. Thus the time to finish the task would be reduced and a decent precision rate is obtained on using fuzzy DL.

Keywords

Internet; XML; data integration; data warehouses; fuzzy set theory; ontologies (artificial intelligence); query processing; semantic Web; ONDINE system; OTR; RDF formats; SEFOS system; SPARQL; Web data tables; XML formats; data warehouse querying; fuzzy DL; fuzzy RDF annotations; fuzzy sets; integrated data table fuzzy annotation; multiple Web pages; ontological and terminological resources; ontology based data integration; semantic enriched fuzzy based ontological integration; Data mining; Data warehouses; Ontologies; Resource description framework; Semantics; XML; ONDINE system; XML/RDF; annotating; local data sources; ontological and terminological resources(OTR); querying system;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on

Conference_Location

Nagercoil

Type

conf

DOI

10.1109/ICCPCT.2015.7159413

Filename

7159413