Identifying Global Representative Classes of DBpedia Ontology through Multilingual Analysis: A Rank Aggregation Approach
Identifying the global representative parts from the multilingual pivotal ontology is important for integrating local language resources into Linked Data. We present a novel method of identifying global representative classes of DBpedia ontology based on the collective popularity, calculated by the aggregation of ranking orders from Wikipedia’s local language editions. We publish the contents of this paper on http://semanticweb.kaist.ac.kr/home/index.php/DBBO.
- Issue Date
- 2016-10-17
- Language
- English
- Citation
1st Workshop on Knowledge Extraction and Knowledge Integration (KEKI), pp.57 - 65
- ISSN
- 0302-3349
- Appears in Collection
- CS-Conference Papers(학술회의논문)
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