scholarly journals Ontology Modeling and MDA.

2005 ◽  
Vol 4 (1) ◽  
pp. 109 ◽  
Author(s):  
Dragan Djuric ◽  
Dragan Gaševi ◽  
Vladan Devedžic
Keyword(s):  
2010 ◽  
Vol 32 (8) ◽  
pp. 1806-1811 ◽  
Author(s):  
Yan-na Li ◽  
Xiu-quan Qiao ◽  
Xiao-feng Li
Keyword(s):  

Author(s):  
Chiseung Soh ◽  
Seungtak Lim ◽  
Kihyun Hong ◽  
Young-Yik Rhim

2018 ◽  
Vol 14 (2) ◽  
pp. 202-213 ◽  
Author(s):  
Jose Aguilar ◽  
Marxjhony Jerez ◽  
Taniana Rodríguez

Author(s):  
Cogan Shimizu ◽  
Pascal Hitzler ◽  
Adila Krisnadhi

We provide an in-depth example of modular ontology engineering with ontology design patterns. The style and content of this chapter is adapted from previous work and tutorials on Modular Ontology Modeling. It offers expanded steps and updated tool information. The tutorial is largely self-contained, but assumes that the reader is familiar with the Web Ontology Language OWL; however, we do briefly review some foundational concepts. By the end of the tutorial, we expect the reader to have an understanding of the underlying motivation and methodology for producing a modular ontology.


Author(s):  
Weena Jimenez ◽  
César Luis Alvargonzález ◽  
Pablo Abella Vallina ◽  
Jose María Álvarez Gutiérrez ◽  
Patricia Ordóñez de Pablos ◽  
...  

The massive use of Internet and social networks leads us to a new dynamic environment with huge amounts of unstructured and unclassified information resources in continuous evolution. New classification, compilation, and recommendation systems based on the use of folksonomies and ontologies have appeared to deal with the requirements of data management in this environment. Nevertheless, using ontologies alone has some weaknesses due to the need of being statically modeled by a set of experts in a specific domain. On the other hand, folksonomies show a lack of formality because of their implicit ambiguity and flexibility by definition. The main objective of this chapter is to outline and evaluate a new way to exploit Web information resources and tags for bridging the gap between ontology modeling and folksonomies.


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