An Ontology Design to Represent Academic Researches

Yıl 2017, , 93 - 112, 28.12.2017

Umut Kaya , Zeynep Altan

https://doi.org/10.20854/bujse.296202

Öz

Semantic
Web provides models and abstractions to process web-accessible information and
services to be more effectively. The effective communication with semantic web is ontology, which is the concept
of the entities that means concreted objects. It provides formal and explicit
specification of the conceptualization in any domain.
In this paper, we designed an ontology in which the academic studies have been
classified. After the description of the logic rules, we
realized formal concept analysis of the constituted ontology. All classes of
our ontology include instances interacting with each other according to the
object property assertions and it has been built with OWL web ontology language
by using Protege. Finally, we defined SPARQL queries of our prototype.

Anahtar Kelimeler

Ontology, semantic web, conceptualization, knowledge representation, SPARQL

AN ONTOLOGY DESIGN TO REPRESENT ACADEMIC RESEARCHES

Öz

Semantic
Web provides models and abstractions to process web-accessible information and
services to be more effectively. The effective communication with semantic web is ontology, which is the concept
of the entities that means concreted objects. It provides formal and explicit
specification of the conceptualization in any domain.
In this paper, we designed an ontology in which the academic studies have been
classified. After the description of the logic rules, we
realized formal concept analysis of the constituted ontology. All classes of
our ontology include instances interacting with each other according to the
object property assertions and it has been built with OWL web ontology language
by using Protege. Finally, we defined SPARQL queries of our prototype.

Anahtar Kelimeler

Ontology, semantic web, conceptualization, knowledge representation, SPARQL

Kaynakça

• [1] Gruber,T:Ontology to appear in the Encyclopedia of Database Systems, Liu,L., Ozsu, M.T. (Eds.), Springer-Verlag, 2008.(2007). http://tomgruber.org/writing/ontology-definiton-2007.html
• [2] Borst, W:Construction of engineering ontologies for knowledge sharing and reuse, PhD. thesis, University of Enschede (1997).
• [3] Gruber, T : A translation approach to portable ontology specifications, Knowledge Acquisition 5(2) (1993)199-220.
• [4] Tillet, B : What is FRBR? A conceptual model for the bibliographic universe, 2004, library of Congress cataloging distribution service.
• [5] Studer,R.,Benjamins,V.R.,Fensel,D.: Knowledge engineering: principles and methods, Data&Knowledge engineering 25 (1-2) (1998) 161-197.
• [6] Tang,M.T.,Toussaint,Y.: Introducing metrics in the lattice to build ontology (2014).
• [7] Sowa, F : The role of logic and ontology in language and reasoning,Springer, Netherlands,Dordrecht,2010,pp.231-263.doi:10.1007/978-90-481-8845-1_11.
• [8] Lickly, B.:Static model analysis with lattice-based ontologies,PhD. thesis, EECS Department, University of California, Berkeley(Nov 2012). http://www2.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-212.html.
• [9] Grosof, B.,Volz,R., Horrocks, I.,Deckers,S.:Description logic programs: combining logic programs with description logic,in:Proceeding of 12th International Conference on World Wide Web, 2003.
• [10] Krotzsch,M., Simancik, F.,Horrocks,I,: Description logics, IEEE Intelligent Systems 29 (1) (2014) 12-19.
• [11] Giordano,L., Gliozzi,V.:Encoding a preferential extension of the description logic sroiq into sroiq,in: Esposito,F, Pivert,O, Hacid,M-S, Ras,Z.W, S.Ferilli, (Eds.)ISMIS Vol. 9384 of lecture notes in Computer Science, Springer,2015,pp.248-258.