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| Interoperability between Ontological Word Lists of Persons and Construction of Classification Systems |
| Junzhi Jia1, Xiyan Cui2 |
1.School of Information Resource Management, Renmin University of China, Beijing 100872
2.School of Economics and Management, Shanxi University, Taiyuan 030006 |
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Abstract With the evolving construction of human ontology vocabularies, it is difficult for users to query and use the appropriate ontology vocabulary. Therefore, by reaggregating the attributes of human ontology vocabularies based on natural and social attributes of the characters, a human-centered multidimensional list of character attributes can be constructed to provide users with classified navigation for using the ontology vocabulary. Ontology mapping is the most extensive and effective technique for constructing semantic bridges between ontology vocabularies. In this paper, the string similarity algorithm is used to calculate the similarity of attributes based on attribute name, domain, value domain, and upper attribute. At the same time, the ontology vocabulary attributes with mapping relationships are summarized. Lastly, eleven different types of attribute classification systems are obtained, such as human relationships, locations, contact methods, and events, and the aggregation of multiple ontology vocabularies is realized.
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Received: 04 March 2019
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