Engineering Applications of Artificial Intelligence
Volume 24, Issue 8, December 2011, Pages 1303-1304
EditorialSpecial issue on semantic information and engineering systems
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Cited by (2)
An automatic approach for ontology-based feature extraction from heterogeneous textualresources
2013, Engineering Applications of Artificial IntelligenceCitation Excerpt :Ontologies are useful to model knowledge in a formal abstract way which can be interpreted and exploited by computers. On the other hand, annotations are linkages between textual contents of a document and their formal semantics, modelled in a knowledge structure such an ontology, enabling the development of knowledge-based systems (Setchi et al., 2011). The availability of such amount of electronic resources has brought a growing interest in the research community in the exploitation of Web contents.
Notation based content extraction from disparate databases using Ontology
2014, International Journal of Applied Engineering Research
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