DocumentCode
2626791
Title
Getting Creative with Semantic Similarity
Author
Ching-Yun Chang ; Clark, Spencer ; Harrington, Brian
Author_Institution
Comput. Lab., Univ. of Cambridge, Cambridge, UK
fYear
2013
fDate
16-18 Sept. 2013
Firstpage
330
Lastpage
333
Abstract
This paper investigates how graph-based representations of entities and concepts can be used to infer semantic similarity and relatedness, and, more speculatively, how these can be used to infer novel associations as part of a creative process. We show how personalised PageRank on a co-occurrence graph can obtain competitive scores on a standard semantic similarity task, as well as being used to discover interesting and surprising links between entities. We hypothesise that such links could form the first stage in a creative ideation process.
Keywords
graph theory; search engines; semantic Web; competitive scores; cooccurrence graph; graph-based representations; ideation process; personalised PageRank; standard semantic similarity task; Educational institutions; Electronic publishing; Encyclopedias; Internet; Semantics; Vectors; Semantic similarity; computational creativity;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Computing (ICSC), 2013 IEEE Seventh International Conference on
Conference_Location
Irvine, CA
Type
conf
DOI
10.1109/ICSC.2013.63
Filename
6693538
Link To Document