Reasoning relation among RDF/RDFS resources using PROLOG rules and facts

Author

Park, Sa-Joon ; Kim, Jae-Ho ; Park, Hyun-Gun

Author_Institution

Dept. of Comput. Sci. & Eng., Chung-Ang Univ., Seoul

Volume

2

fYear

2004

fDate

1-3 Dec. 2004

Firstpage

1079

Lastpage

1084

Abstract

This paper proposes a method for the prospective semantic inference in the Web documents, catching the relation among RDF/RDFS resources using PROLOG. For the semantic extraction, at first, we derive various kinds of facts caught intuitively from RDF/RDFS recommendation of W3C and stored them as facts in a knowledge base. Secondly, we produce rules from the various definitions of the recommendation and stored them as rules in a knowledge base, too. We choose the translation to the prolog, because the prolog is similar to the FOL representation. If there is a prolog compiler, we can easily confirm the inference process with the knowledge base. Rules and facts which represent the relation among the elements of the Web documents will be helpful for semantic inference, provide the foundation available to agents

Keywords

Internet; PROLOG; inference mechanisms; PROLOG facts; PROLOG rules; RDF/RDFS recommendation; RDF/RDFS resources; W3C; Web documents; knowledge base; reasoning relation; semantic extraction; semantic inference; Computer science; Data mining; Dictionaries; Knowledge representation; Organizing; Resource description framework; Search engines; Semantic Web; Vehicles; XML;

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetics and Intelligent Systems, 2004 IEEE Conference on

Conference_Location

Singapore

Print_ISBN

0-7803-8643-4

Type

conf

DOI

10.1109/ICCIS.2004.1460739

Filename

1460739