Concept Learning in the Description Logic ALCH(D) Based on Minimal Model Reasoning for RDF Data-Reference-Cited by-同舟云学术

Concept Learning in the Description Logic ALCH(D) Based on Minimal Model Reasoning for RDF Data

Published:2014 Issue:3 Volume:29 Page:343-355
ISSN:1346-0714
Container-title:Transactions of the Japanese Society for Artificial Intelligence
language:en
Short-container-title:Transactions of the Japanese Society for Artificial Intelligence

Author:

Nagai Takuma¹,Kaneiwa Ken²

Affiliation:

1. Electrical Engineering and Computer Science, Graduate School of Engineering, Iwate Universit

2. Department of Communication Engineering and Informatics, Graduate School of Informatics and Engineering, The University of Electro-Communications

Publisher

Japanese Society for Artificial Intelligence

Subject

Artificial Intelligence,Software

Link

https://www.jstage.jst.go.jp/article/tjsai/29/3/29_343/_pdf

Reference23 articles.

1. [Analyti 08] Analyti, A., Antoniou, G., Dam ́asio, C. V., and Wagner, G.: Extended RDF as a Semantic Foundation of Rule Markup Languages, Journal of Artificial Intelligence Research, Vol. 32, No. 1, pp. 37–94 (2008)

2. [Baader 03] Baader, F., Calvanese, D., McGuinness, D. L., Nardi, D., and Patel-Schneider, P. F. eds.: The description logic handbook: theory, implementation, and applications, Cambridge University Press (2003)

3. [Brickley 04] Brickley, D. and Guha, R. V.: RDF Vocabulary Description Language 1.0: RDF Schema, W3C Recommendation (2004), http://www.w3.org/TR/rdf-schema/

4. [Carroll 09] Carroll, J., Herman, I., and Patel-Schneider, P. F.: OWL2 Web Ontology Language RDF-Based Semantics, W3C Recommendation (2009), http://www.w3.org/TR/owl2-rdf-based-semantics/

5. [Clark 77] Clark, K. L.: Negation as Failure, in Logic and Data Bases, pp. 293–322 (1977)