Text Mining for Semantic Web
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See: Active Learning; Classification; Document Clustering; Semisupervised Learning; Semisupervised Text Processing; Text Mining; Text Visualization.
References
2011
- (Grobelnik & Mladenic, 2011) ⇒ Marko Grobelnik, and Dunja Mladenic. (2011). “Text Mining for Semantic Web.” In: (Sammut & Webb, 2011) p.978
- QUOTE: 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.