Publication details

Combining Text and Formula Queries in Math Information Retrieval: Evaluation of Query Results Merging Strategies

Authors

LÍŠKA Martin SOJKA Petr RŮŽIČKA Michal

Year of publication 2015
Type Article in Proceedings
Conference NWSearch '15: Proceedings of the First International Workshop on Novel Web Search Interfaces and Systems
MU Faculty or unit

Faculty of Informatics

Citation
Web
Doi http://dx.doi.org/10.1145/2810355.2810359
Field Informatics
Keywords algorithms; performance; query reformulation; query expansion; digital mathematical libraries; math indexing and retrieval; ranking
Description Specific to Math Information Retrieval is combining text with mathematical formulae both in documents and in queries. Rigorous evaluation of query expansion and merging strategies combining math and standard textual keyword terms in a query are given. It is shown that techniques similar to those known from textual query processing may be applied in math information retrieval as well, and lead to a cutting edge performance. Striping and merging partial results from subqueries is one technique that improves results measured by information retrieval evaluation metrics like Bpref.
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