Automatic construction of lexicons, taxonomies, ontologies, and other knowledge structures
Identifieur interne : 000220 ( Main/Exploration ); précédent : 000219; suivant : 000221Automatic construction of lexicons, taxonomies, ontologies, and other knowledge structures
Auteurs : Olena Medelyan [Nouvelle-Zélande] ; Ian H. Witten [Nouvelle-Zélande] ; Anna Divoli [Nouvelle-Zélande] ; Jeen Broekstra [Nouvelle-Zélande]Source :
- Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery [ 1942-4787 ] ; 2013-07.
Abstract
Abstract, structured, representations of knowledge such as lexicons, taxonomies, and ontologies have proven to be powerful resources not only for the systematization of knowledge in general, but to support practical technologies of document organization, information retrieval, natural language understanding, and question‐answering systems. These resources are extremely time consuming for people to create and maintain, yet demand for them is growing, particularly in specialized areas ranging from legacy documents of large enterprises to rapidly changing domains such as current affairs and celebrity news. Consequently, researchers are investigating methods of creating such structures automatically from document collections, calling on the proliferation of interlinked resources already available on the web for background knowledge and general information about the world. This review surveys what is possible, and also outlines current research directions.
Url:
DOI: 10.1002/widm.1097
Affiliations:
Links toward previous steps (curation, corpus...)
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Le document en format XML
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<front><div type="abstract">Abstract, structured, representations of knowledge such as lexicons, taxonomies, and ontologies have proven to be powerful resources not only for the systematization of knowledge in general, but to support practical technologies of document organization, information retrieval, natural language understanding, and question‐answering systems. These resources are extremely time consuming for people to create and maintain, yet demand for them is growing, particularly in specialized areas ranging from legacy documents of large enterprises to rapidly changing domains such as current affairs and celebrity news. Consequently, researchers are investigating methods of creating such structures automatically from document collections, calling on the proliferation of interlinked resources already available on the web for background knowledge and general information about the world. This review surveys what is possible, and also outlines current research directions.</div>
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