Automatic Keyphrase Extraction and Ontology Mining for Content-Based Tag Recommendation

作者：Pudota Nirmala; Dattolo Antonina^*; Baruzzo Andrea; Ferrara Felice; Tasso Carlo

来源：International Journal of Intelligent Systems, 2010, 25(12): 1158-1186.

DOI：10.1002/int.20448

Collaborative tagging represents for the Web a potential way for organizing and sharing information and for heightening the capabilities of existing search engines However because of the lack of automatic methodologies for generating the tags and supporting the tagging activity, many resources on the Web are deficient in tag information, and recommending opportune tags is both a current open issue and an exciting challenge This paper approaches the problem by applying a combined set of techniques and tools (that uses tags domain ontologies, keyphrase ex traction methods) thereby generating tags automatically The proposed approach is implemented in the PIRATES (Personalized Intelligent tag Recommender and Annotator TEStbed) framework a

• 出版日期2010-12