YAGO: A Large Ontology from Wikipedia and WordNet
نویسندگان
چکیده
منابع مشابه
YAGO: A Large Ontology from Wikipedia and WordNet
This article presents YAGO, a large ontology with high coverage and precision. YAGO has been automatically derived from Wikipedia and WordNet. It comprises entities and relations, and currently contains more than 1.7 million entities and 15 million facts. These include the taxonomic Is-A hierarchy as well as semantic relations between entities. The facts for YAGO have been extracted from the ca...
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YAGO is a large knowledge base that is built automatically from Wikipedia, WordNet and GeoNames. The project combines information from Wikipedias in 10 different languages into a coherent whole, thus giving the knowledge a multilingual dimension. It also attaches spatial and temporal information to many facts, and thus allows the user to query the data over space and time. YAGO focuses on extra...
متن کاملYAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia
We present YAGO, a light-weight and extensible ontology with high coverage and quality. YAGO builds on entities and relations and currently contains more than 1 million entities and 5 million facts. This includes the Is-A hierarchy as well as non-taxonomic relations between entities (such as hasWonPrize). The facts have been automatically extracted from Wikipedia and unified with WordNet, using...
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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 Wiki...
متن کاملOntology Population and Alignment for the Legal Domain: YAGO, Wikipedia and LKIF
We present a methodology and framework to align ontologies through annotation of texts, and we show how this methodology applies successfully to the legal domain. This method reduces the difficulty of aligning ontologies, because annotators are asked to associate two labels from different inventories to a concrete example, which requires a simple judgment. In a second phase, those correspondenc...
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ژورنال
عنوان ژورنال: Journal of Web Semantics
سال: 2008
ISSN: 1570-8268
DOI: 10.1016/j.websem.2008.06.001