| Journal: | Computación y sistemas |
| Database: | PERIÓDICA |
| System number: | 000423237 |
| ISSN: | 1405-5546 |
| Authors: | Pathak, Amarnath1 Pakray, Partha1 Sarkar, Sandip2 Das, Dipankar3 Gelbukh, Alexander4 |
| Institutions: | 1National Institute of Technology Mizoram, Mizoram, Aizawl. India 2Hijli College, Kharagpur, West Bengal. India 3Jadavpur University, Kolkata, West Bengal. India 4Instituto Politécnico Nacional, Centro de Investigación en Computación, Ciudad de México. México |
| Year: | 2017 |
| Season: | Abr-Jun |
| Volumen: | 21 |
| Number: | 2 |
| Country: | México |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Experimental, aplicado |
| English abstract | Effective retrieval of mathematical contents from vast corpus of scientific documents demands enhancement in the conventional indexing and searching mechanisms. Indexing mechanism and the choice of semantic similarity measures guide the results of Math Information Retrieval system (MathIRs) to perfection. Tokenization and formula unification are among the distinguishing features of indexing mechanism, used in MathIRs, which facilitate sub-formula and similarity search. Besides, the scientific documents and the user queries in MathIRs will contain math as well as text contents and to match these contents we require three important modules: Text-Text Similarity (TS), Math-Math Similarity (MS) and Text-Math Similarity (TMS). In this paper we have proposed MathIRs comprising these important modules and a substitution tree based mechanism for indexing mathematical expressions. We have also presented experimental results for similarity search and argued that proposal of MathIRs will ease the task of scientific document retrieval |
| Disciplines: | Bibliotecología y ciencia de la información, Ciencias de la computación |
| Keyword: | Tecnología de la información, Procesamiento de lenguaje natural, Recuperación de información, Indexación |
| Keyword: | Information technology, Natural language processing, Information retrieval, Indexing |
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