Concept Constructing in the Description Logic SROIQ based on Minimal RDF Reasoning

Author:

Kaneiwa Ken1,Nagai Takuma2

Affiliation:

1. Department of Computer and Network Engineering, Graduate School of Informatics and Engineering, The University of Electro-Communications

2. Electrical Engineering and Computer Science, Graduate School of Engineering, Iwate University

Publisher

Japanese Society for Artificial Intelligence

Subject

Artificial Intelligence,Software

Reference17 articles.

1. [Analyti 08] Analyti, A., Antoniou, G., Dama´sio, C. V., and Wag-ner, G.: Extended RDF as a semantic foundation of rule markup lan- guages, 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. [Baader 18] Baader, F., Gil, O. F., and Marantidis, P.: Matching in the description logic F L 0 with respect to general TBoxes, in Proceedings of the 2nd International Conference on Logic for Programming, Artificial Intelligence and Reasoning, pp. 76-94 (2018)

4. [Brickley 14] Brickley, D. and Guha, R.: RDF Schema 1.1, W3C Recommendation (2014), http://www.w3.org/TR/rdf-schema/

5. [Bühmann 16] Bühmann, L., Lehmann, J., and Westphal, P.: DL-Learner - A framework for inductive learning on the semantic web, J. Web Semant., Vol. 39, pp. 15-24 (2016)

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