Constructing Large-Scale Person Ontology from Wikipedia
نویسندگان
چکیده
This paper presents a method for constructing a large-scale Person Ontology with category hierarchy from Wikipedia. We first extract Wikipedia category labels which represent person (hereafter, Wikipedia Person Category, WPC) by using a machine learning classifier. We then construct a WPC hierarchy by detecting is-a relations in the Wikipedia category network. We then extract the titles of Wikipedia articles which represent person (hereafter, Wikipedia person instance, WPI). Experiments show that the accuracy of WPC extraction is 99.3% precision and 98.4% recall, while that of WPI extraction is 98.2% and 98.6%, respectively. The accuracies are significantly higher than the previous methods.
منابع مشابه
Constructing a class hierarchy with properties by refining and aligning Japanese wikipedia ontology and Japanese WordNet
Introduction We have proposed learning methods for building a large-scale and high accuracy general ontology called Japanese Wikipedia Ontology (JWO) by extracting the concepts and relationships between concepts from various semistructured resources in Japanese Wikipedia [3]. However, JWO has problems because it lacks upper classes and appropriate definitions of properties. Thus, the aim of our...
متن کاملOntological quality control in large-scale, applied ontology matching
To date, large-scale applied ontology mapping has relied greatly on label matching and other relatively simple syntactic features. In search of more holistic and accurate alignment, we offer a suite of partially overlapping ontology mapping heuristics which allows us to hypothesise matches and test them against the knowledge in our source ontology (OpenCyc). We thereby automatically align our s...
متن کاملUsing Goi-Taikei as an Upper Ontology to Build a Large-Scale Japanese Ontology from Wikipedia
We present a novel method for building a large-scale Japanese ontology from Wikipedia using one of the largest Japanese thesauri, Nihongo Goi-Taikei (referred to hereafter as “Goi-Taikei”) as an upper ontology. First, The leaf categories in the Goi-Taikei hierarchy are semi-automatically aligned with semantically equivalent Wikipedia categories. Then, their subcategories are created automatical...
متن کاملWikiMatch - using Wikipedia for ontology matching
Finding correspondences between different ontologies is a crucial task in the Semantic Web. Ontology matching tools are capable of solving that task in an automated manner, some even dealing with ontologies in different natural languages. Most state of the art matching tools use internal element and structure based techniques, while the use of large-scale external knowledge resources, especiall...
متن کامل11th International Protégé Conference 2009
The focus of this research is the automatic extraction of an ontology of persons in Information Technology. Our approach involves the extraction of a categorization hierarchy of Wikipedia, the extraction of information about persons and the extraction of relations between persons. We have investigated the suitability of Wikipedia to extract social relations. Our research indicates that the info...
متن کامل