Abstract
The study applies the theory and method of Hierarchical Network of Concepts (or HNC theory) to Indian domain ontology building, which is approved to be effective. The process of ontology building covers two phases: collection of ontology terms, top-level framework design of ontology. Firstly, the study applies HowNet, TYCCL and Word2Vec to assist collecting India-relevant terms based on word similarity calculation, and then HNC conceptual tree table is applied to build Indian Ontology. The corpus of training Word2Vec models mainly comes from People daily, Wikipedia and Sogou news and then, based on the well-trained models, Word2Vec is applied to assist basic term collection. According to HNC conceptual tree table, the Indian Ontological Knowledge Base (or IOKB) covers seven general fields of India such as politics, economy, military and culture, etc. Currently, IOKB has more than 4350 concepts and instances, 51 object properties and 207 data properties.
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Huang, J., Zhang, K., Li, F. (2018). The Study of Indian Domain Ontology Building Based on the Framework of HNC. In: Wu, Y., Hong, JF., Su, Q. (eds) Chinese Lexical Semantics. CLSW 2017. Lecture Notes in Computer Science(), vol 10709. Springer, Cham. https://doi.org/10.1007/978-3-319-73573-3_29
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DOI: https://doi.org/10.1007/978-3-319-73573-3_29
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