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- W1559350446 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. This article is categorized under: Algorithmic Development > Text Mining Fundamental Concepts of Data and Knowledge > Knowledge Representation Technologies > Structure Discovery and Clustering" @default.
- W1559350446 created "2016-06-24" @default.
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- W1559350446 date "2013-07-01" @default.
- W1559350446 modified "2023-10-16" @default.
- W1559350446 title "Automatic construction of lexicons, taxonomies, ontologies, and other knowledge structures" @default.
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- W1559350446 doi "https://doi.org/10.1002/widm.1097" @default.
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