TY - JOUR
T1 - Binary vector transformation of math formula for mathematical information retrieval
AU - Pathak, Amarnath
AU - Pakray, Partha
AU - Gelbukh, Alexander
N1 - Publisher Copyright:
© 2019 - IOS Press and the authors. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Scientific documents, which are majorly constituted of math formulae, form a primary source of scientific and technical information. However, the indexing and the search processes of conventional search engines barely account for mathematical contents of such documents. Though the recent past has witnessed a surge in number of Mathematical Information Retrieval (MIR) systems intending to retrieve math formulae from scientific documents, the low values of their evaluation measures are indicative of the scope for improvement. To cope with the challenges of MIR, and to further the performance of state-of-The-Art systems, a novel approach, called Binary Vector Transformation of Math Formula (BVTMF), is introduced. The implemented system extracts MathML formulae from the documents, preprocesses them, and renders them into fairly large-sized binary vectors (vectors of '0's and '1's). Generated formula vector is representative of the information content of corresponding formula. For indexing and searching text contents, the system relies on Apache Lucene. Text and math search results retrieved by independent text and math sub-systems are re-ranked to prioritize the results containing text as well as math components of the user query. Quality of the retrieved search results and appreciable values of the evaluation measures substantiate competence of the proposed approach.
AB - Scientific documents, which are majorly constituted of math formulae, form a primary source of scientific and technical information. However, the indexing and the search processes of conventional search engines barely account for mathematical contents of such documents. Though the recent past has witnessed a surge in number of Mathematical Information Retrieval (MIR) systems intending to retrieve math formulae from scientific documents, the low values of their evaluation measures are indicative of the scope for improvement. To cope with the challenges of MIR, and to further the performance of state-of-The-Art systems, a novel approach, called Binary Vector Transformation of Math Formula (BVTMF), is introduced. The implemented system extracts MathML formulae from the documents, preprocesses them, and renders them into fairly large-sized binary vectors (vectors of '0's and '1's). Generated formula vector is representative of the information content of corresponding formula. For indexing and searching text contents, the system relies on Apache Lucene. Text and math search results retrieved by independent text and math sub-systems are re-ranked to prioritize the results containing text as well as math components of the user query. Quality of the retrieved search results and appreciable values of the evaluation measures substantiate competence of the proposed approach.
KW - Binary vector transformation
KW - Bit position information table
KW - Math formula search
KW - Mathematical information retrieval
KW - Precision
KW - Scientific document retrieval
UR - http://www.scopus.com/inward/record.url?scp=85066437485&partnerID=8YFLogxK
U2 - 10.3233/JIFS-179018
DO - 10.3233/JIFS-179018
M3 - Artículo
AN - SCOPUS:85066437485
SN - 1064-1246
VL - 36
SP - 4685
EP - 4695
JO - Journal of Intelligent and Fuzzy Systems
JF - Journal of Intelligent and Fuzzy Systems
IS - 5
ER -