MathIRs: Retrieval System for Scientific Documents

Pathak, Amarnath; Sarkar, Sandip; Das, Dipankar; Gelbukh, Alexander

doi:10.13053/cys-21-2-2743

Cited by 11 publications

(3 citation statements)

References 12 publications

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“…Modifications in conventional indexing and search techniques have also contributed notably to the domain of math formulae search. In particular, substitution tree based indexing techniques [15,12] index math formulae along nodes and leaves of a substitution tree and, hence, minimize the memory requirement.…”

Section: Related Workmentioning

confidence: 99%

A Formula Embedding Approach to Math Information Retrieval

Pathak¹,

Gelbukh²

2018

CyS

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Intricate math formulae, which majorly constitute the content of scientific documents, add to the complexity of scientific document retrieval. Although modifications in conventional indexing and search mechanisms have eased the complexity and exhibited notable performance, the formula embedding approach to scientific document retrieval sounds equally appealing and promising. Formula Embedding Module of the proposed system uses a Bit Position Information Table to transform math formulae, contained inside scientific documents, into binary formulae vectors. Each set bit of a formula vector designates presence of a specific mathematical entity. Mathematical user query is transformed into query vector, in similar fashion, and the corresponding relevant documents are retrieved. Relevance of a search result is characterized by extent of similarity between the indexed formula vector and the query vector. Promising performance, under moderately constrained situation, substantiates competence of the proposed approach.

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Section: Related Workmentioning

confidence: 99%

A Formula Embedding Approach to Math Information Retrieval

Pathak¹,

Gelbukh²

2018

CyS

Self Cite

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“…Moreover, we also extend the concept of structure-encoded strings (SES) for MathML documents to eliminate extraneous sysmbols like <mi>, <mo> etc. without losing the structure of a ME [4].…”

Section: Introductionmentioning

confidence: 99%

Mathematical document retrieval system based on signature hashing

Dhar¹,

Roy²

2020

csit

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Scientific documents and magazines involve large number of mathematical expressions and formulas alongwith text. The continuous growth of such documents necessitates the requirement of developing specialized tools andtechniques, which could handle and analyse mathematical expressions and formulas. Mathematical expressions andformulae are highly structured and quite different from traditional text. Due to which conventional text retrievalsystem performs poorly in retrieving scientific documents based on mathematical expression formulated as a query.Mathematical information retrieval is concerned with finding information in documents that include mathematics. Toaddress the challenges posed by mathematical formulae as compared to text, this paper aims to construct a mathaware search engine, which can retrieve relevant scientific documents based on a mathematical query. A novelsignature based hashing scheme to index raw mathematical web documents is proposed in this paper, which can alsotake mathematical notational equivalences into account. The proposed system demonstrates better precision andstability of the ranked results when compared with other related state-of-the-art math aware search engines.

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“…However, vector representation does not consider the ordering of words in a document that is a crucial factor for MEs and exact matching may retrieve too few or too many documents [1][2]. The field of IR has been exhaustively explored for many decades but a distinct focus is required for Mathematical Information Retrieval (MIR) because conventional text retrieval systems are not suitable for retrieving mathematical expressions [3][4].…”

Section: Introductionmentioning

confidence: 99%

Mathematical Document Retrieval System based on Signature Hashing

Dhar

Roy

2019

APTIKOM Journal Comput. Sci. Inf. Technol.

View full text Add to dashboard Cite

Scientific documents and magazines involve large number of mathematical expressions and formulas along with text. The continuous growth of such documents necessitates the requirement of developing specialized tools and techniques, which could handle and analyse mathematical expressions and formulas. Mathematical expressions and formulae are highly structured and quite different from traditional text. Due to which conventional text retrieval system performs poorly in retrieving scientific documents based on mathematical expression formulated as a query. Mathematical information retrieval is concerned with finding information in documents that include mathematics. To address the challenges posed by mathematical formulae as compared to text, this paper aims to construct a math aware search engine, which can retrieve relevant scientific documents based on a mathematical query. A novel signature based hashing scheme to index raw mathematical web documents is proposed in this paper, which can also take mathematical notational equivalences into account. The proposed system demonstrates better precision and stability of the ranked results when compared with other related state-of-the-art math aware search engines.

show abstract

MathIRs: Retrieval System for Scientific Documents

Cited by 11 publications

References 12 publications

A Formula Embedding Approach to Math Information Retrieval

A Formula Embedding Approach to Math Information Retrieval

Mathematical document retrieval system based on signature hashing

Mathematical Document Retrieval System based on Signature Hashing

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