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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Constructing a Focused Taxonomy from a Document Collection
verfasst von : Olena Medelyan, Steve Manion, Jeen Broekstra, Anna Divoli, Anna-Lan Huang, Ian H. Witten
Erschienen in: The Semantic Web: Semantics and Big Data
Verlag: Springer Berlin Heidelberg
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We describe a new method for constructing custom taxonomies from document collections. It involves identifying relevant concepts and entities in text; linking them to knowledge sources like Wikipedia, DBpedia, Freebase, and any supplied taxonomies from related domains; disambiguating conflicting concept mappings; and selecting semantic relations that best group them hierarchically. An RDF model supports interoperability of these steps, and also provides a flexible way of including existing NLP tools and further knowledge sources. From 2000 news articles we construct a custom taxonomy with 10,000 concepts and 12,700 relations, similar in structure to manually created counterparts. Evaluation by 15 human judges shows the precision to be 89% and 90% for concepts and relations respectively; recall was 75% with respect to a manually generated taxonomy for the same domain.