{"type":"ScholarlyArticle","title":"A Wikipedia Based Semantic Graph Model for Topic Tracking in Blogsphere","authors":[{"name":"Jintao Tang","slug":"jintao-tang","given":"Jintao","family":"Tang","affiliation":""},{"name":"Ting Wang","slug":"ting-wang","given":"Ting","family":"Wang","affiliation":""},{"name":"Qin Lu","slug":"qin-lu","given":"Qin","family":"Lu","affiliation":""},{"name":"Ji Wang","slug":"ji-wang","given":"Ji","family":"Wang","affiliation":""},{"name":"Wenjie Li","slug":"wenjie-li","given":"Wenjie","family":"Li","affiliation":""}],"abstract":"There are two key issues for information diffusion in blogosphere: (1) blog posts are usually short, noisy and contain multiple themes, (2) information diffusion through blogosphere is primarily driven by the “word-of-mouth” effect, thus making topics evolve very fast. This paper presents a novel topic tracking approach to deal with these issues by modeling a topic as a semantic graph in which the semantic relatedness between terms are learned from Wikipedia. For a given topic/post, the named entities, Wikipedia concepts, and the semantic relatedness are extracted to generate the graph model. Noises are filtered out through a graph clustering algorithm. To handle topic evolution, the topic model is enriched by using Wikipedia as background knowledge. Furthermore, graph edit distance is used to measure the similarity between a topic and its posts. The proposed method is tested using real-world blog data. Experimental results show the advantage of the proposed method on tracking topics in short, noisy text.","doi":"10.5591/978-1-57735-516-8/IJCAI11-389","url":"https://ijcai.org/proceedings/2011/389","pdf":"https://ijcai.org/proceedings/2011/0389.pdf","markdown":"https://ijcai.org/proceedings/2011/389.md","bibtex":"https://ijcai.org/proceedings/2011/bibtex/389","volume":{"slug":"2011","title":"Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2011","url":"https://ijcai.org/proceedings/2011/","year":2011,"location":"Barcelona, Catalonia, Spain","dates":"16–22 July 2011","editors":"Toby Walsh","isbn":"978-1-57735-512-0; 978-1-57735-513-7; 978-1-57735-514-4; 978-1-57735-515-1; 978-1-57735-516-8","publisher":"AAAI Press/International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":389,"pages":{"first":2337,"last":2341},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}