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

web

• preprint
• conference homepage
• workshop proceedings
• workshop homepage

• 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.

Related projects

• Zastoupení ČR v European Research Consortium for Informatics and Mathematics
• Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity