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Erschienen in:
2014 | OriginalPaper | Buchkapitel
An Approach to Math-Similarity Search
verfasst von : Qun Zhang, Abdou Youssef
Erschienen in: Intelligent Computer Mathematics
Verlag: Springer International Publishing
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The unique structural syntax and the variety of semantic equivalences of mathematic expressions make it a challenge for a keyword-based text search engine to effectively meet the users’ search needs. Many existing math search solutions focus on exact search where the notational matching determines the relevance rank, while the structural similarity and mathematical semantics are often missed out or not addressed adequately. One important research question is how to effectively and efficiently find math expressions that are similar to a user’s query, and how to do relevance ranking of hits by similarity. This paper focuses on (1) conceptualizing similarity between mathematical expressions, (2) defining metrics to measure math similarity, (3) utilizing those metrics for math similarity search, and (4) evaluating performance to validate advantage of the proposed math similarity search. Our results show that the performance of math-similarity search is superior to that of keyword-based math search.