SEMCON: A Semantic and Contextual Objective Metric for Enriching Domain Ontology Concepts

@article{Kastrati2016SEMCONAS,
  title={SEMCON: A Semantic and Contextual Objective Metric for Enriching Domain Ontology Concepts},
  author={Zenun Kastrati and Ali Shariq Imran and Sule YAYILGAN YILDIRIM},
  journal={Int. J. Semantic Web Inf. Syst.},
  year={2016},
  volume={12},
  pages={1-24}
}
This paper presents a novel concept enrichment objective metric combining contextual and semantic information of terms extracted from the domain documents. The proposed metric is called SEMCON which stands for semantic and contextual objective metric. It employs a hybrid learning approach utilizing functionalities from statistical and linguistic ontology learning techniques. The metric also introduced for the first time two statistical features that have shown to improve the overall score… 

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