This paper describes a new technique for obtaining measures of semantic relatedness. Like other recent approaches, it uses Wikipedia to provide structured world knowledge about the terms of interest. Out approach is unique in that it does so using the hyperlink structure of Wikipedia rather than its category hierarchy or textual content. Evaluation with manually defined measures of semantic relatedness reveals this to be an effective compromise between the ease of computation of the former approach and the accuracy of the latter.

@inproceedings{milne2008effective, author = {Milne, David and Witten, Ian H.}, title = {An effective, low-cost measure of semantic relatedness obtained from Wikipedia links}, booktitle = {Proceeding of AAAI Workshop on Wikipedia and Artificial Intelligence: an Evolving Synergy}, publisher = {AAAI Press}, year = {2008}, pages = {25--30}, url = {https://www.aaai.org/Papers/Workshops/2008/WS-08-15/WS08-15-005.pdf}, keywords = {relation, semantic, similarity, wikipedia}, abstract = {This paper describes a new technique for obtaining measures of semantic relatedness. Like other recent approaches, it uses Wikipedia to provide structured world knowledge about the terms of interest. Out approach is unique in that it does so using the hyperlink structure of Wikipedia rather than its category hierarchy or textual content. Evaluation with manually defined measures of semantic relatedness reveals this to be an effective compromise between the ease of computation of the former approach and the accuracy of the latter.} }

%0 = inproceedings %A = Milne, David and Witten, Ian H. %B = Proceeding of AAAI Workshop on Wikipedia and Artificial Intelligence: an Evolving Synergy %D = 2008 %I = AAAI Press %T = An effective, low-cost measure of semantic relatedness obtained from Wikipedia links %U = https://www.aaai.org/Papers/Workshops/2008/WS-08-15/WS08-15-005.pdf