TY - CHAP AU - Haridas, Mandar AU - Caragea, Doina A2 - Meersman, Robert A2 - Dillon, Tharam A2 - Herrero, Pilar T1 - Exploring Wikipedia and DMoz as Knowledge Bases for Engineering a User Interests Hierarchy for Social Network Applications T2 - On the Move to Meaningful Internet Systems: OTM 2009 PB - Springer C1 - Berlin / Heidelberg PY - 2009/ VL - 5871 IS - SP - 1238 EP - 1245 UR - http://dx.doi.org/10.1007/978-3-642-05151-7_35 DO - 10.1007/978-3-642-05151-7_35 KW - dmoz KW - genta11 KW - hierarchy KW - taxonomy KW - wordnet KW - ol_web2.0 KW - data_wikis KW - methods_concepthierarchy L1 - SN - N1 - SpringerLink - Abstract N1 - AB - The outgrowth of social networks in the recent years has resulted in opportunities for interesting data mining problems, such as interest or friendship recommendations. A global ontology over the interests specified by the users of a social network is essential for accurate recommendations. We propose, evaluate and compare three approaches to engineering a hierarchical ontology over user interests. The proposed approaches make use of two popular knowledge bases, Wikipedia and Directory Mozilla, to extract interest definitions and/or relationships between interests. More precisely, the first approach uses Wikipedia to find interest definitions, the latent semantic analysis technique to measure the similarity between interests based on their definitions, and an agglomerative clustering algorithm to group similar interests into higher level concepts. The second approach uses the Wikipedia Category Graph to extract relationships between interests, while the third approach uses Directory Mozilla to extract relationships between interests. Our results show that the third approach, although the simplest, is the most effective for building a hierarchy over user interests. ER -