ERMOS: An Efficient Relational Mapping for Ontology Storage

Author

Shoaib, Muhammad ; Basharat, Amna

Author_Institution

Nat. Univ. of Comput. & Emerging Sci., Islamabad, Pakistan

Volume

1

fYear

2010

Firstpage

399

Lastpage

403

Abstract

Ontology has been emerged has rapidly growing technology for representing knowledge in a meaningful way. To store ontologies for web-applications XML is natural representation but it is unable to store huge knowledge in a saleable way. Under the primary objective of our paper, we present ERMOS: An Efficient Relational Mapping for Ontology Storage, by extending Schema Aware Mapping for storing ontologies in RDBMS in order to enable easy and prompt retrieval of knowledge from ontologies for semantically affluent queries based on OWL 2.0 semantics in accompany with REMT: Restriction Mapping Technique for storing OWL 2.0 restrictions. Intended for this intention we introduce a set of rules, which describes our mapping technique for developing an Entity Relation (ER) Model with the endeavor of eventually facilitating towards a Relational Database Design. ERMOS offers main memory free in-system reasoning over A-Box data.

Keywords

XML; entity-relationship modelling; knowledge representation languages; ontologies (artificial intelligence); query processing; relational databases; storage allocation; ERMOS; OWL 2.0 semantics; RDBMS; XML; efficient relational mapping; entity relation model; ontology storage; relational database design; restriction mapping technique; schema aware mapping; Lead; Memory; OWL; Ontologies; Semantics; Soil; Variable speed drives; Database Schema; OWL Mapping; Ontology Storage; RDBMS applications; Semantic Data Storage;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Management Science (ICAMS), 2010 IEEE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-6931-4

Type

conf

DOI

10.1109/ICAMS.2010.5553141

Filename

5553141