Definition
Text Mining methods allow for the incorporation of textual data within applications of semantic technologies on the Web. Application of these techniques is appropriate when some of the data needed for a Semantic Web use scenario are in textual form. The techniques range from simple processing of text to reducing vocabulary size, through applying shallow natural language processing to constructing new semantic features or applying information retrieval to selecting relevant texts for analysis, through complex methods involving integrated visualization of semantic information, semantic search, semiautomatic ontology construction, and large-scale reasoning.
Motivation and Background
Semantic Web applications usually involve deep structured knowledge integrated by means of some kind of ontology. Text mining methods, on the other hand, support the discovery of structure in data and effectively support semantic technologies on data-driven tasks such as (semi)automatic ontology...
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Grobelnik, M., Mladenić, D., Witbrock, M. (2017). Text Mining for the Semantic Web. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_835
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DOI: https://doi.org/10.1007/978-1-4899-7687-1_835
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