Concept coupling learning for improving concept lattice-based document retrieval

Hao, Shufeng; Shi, Chongyang; Niu, Zhendong; Cao, Longbing

doi:10.1016/j.engappai.2017.12.007

Cited by 22 publications

(16 citation statements)

References 28 publications

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“…Identifying pairs of related terms is helpful in IR, determining semantic relations between documents and query terms. We also included a second model-based IR method named CCLR (Concept Coupling Learning Retrieval) [9], which uses concept lattices to model dependency relationships between document terms. Like DBNIRM, CCLR allows identifying the pairs of concepts that are most strongly related, combining criteria of conceptual coupling intra-and inter-documents.…”

Section: Resultsmentioning

confidence: 99%

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Topic Models Ensembles for AD-HOC Information Retrieval

2021

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Ad hoc information retrieval (ad hoc IR) is a challenging task consisting of ranking text documents for bag-of-words (BOW) queries. Classic approaches based on query and document text vectors use term-weighting functions to rank the documents. Some of these methods’ limitations consist of their inability to work with polysemic concepts. In addition, these methods introduce fake orthogonalities between semantically related words. To address these limitations, model-based IR approaches based on topics have been explored. Specifically, topic models based on Latent Dirichlet Allocation (LDA) allow building representations of text documents in the latent space of topics, the better modeling of polysemy and avoiding the generation of orthogonal representations between related terms. We extend LDA-based IR strategies using different ensemble strategies. Model selection obeys the ensemble learning paradigm, for which we test two successful approaches widely used in supervised learning. We study Boosting and Bagging techniques for topic models, using each model as a weak IR expert. Then, we merge the ranking lists obtained from each model using a simple but effective top-k list fusion approach. We show that our proposal strengthens the results in precision and recall, outperforming classic IR models and strong baselines based on topic models.

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Section: Resultsmentioning

confidence: 99%

“…IR is also a fundamental building block of many content-based recommender systems [6]. Other content modeling approaches have also helped drive the development of these technologies, highlighting, for example, the emergence of semantic web technologies [7], representation learning [8], and formal concept analysis [9].…”

Section: Introductionmentioning

confidence: 99%

Topic Models Ensembles for AD-HOC Information Retrieval

2021

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“…Hao et al [14] presented a retrieval structure which was based on lattice. This construction demonstrated a document in addition to a user query in a concept space revealed on fuzzy formal concept analysis utilized a semantic index to arrange documents and ranks documents by considering learned concept.…”

Section: Related Workmentioning

confidence: 99%

A PSO Strategy of Finding Relevant Web Documents using a New Similarity Measure

Ramya¹,

Shreedhara²

2019

International Journal of Darshan Institute on Engineering Research and Emerging Technologies

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In the world of the Internet and World Wide Web, which offers a tremendous amount of information, an increasing emphasis is being given to searching services and functionality. Currently, a majority of web portals offer their searching utilities, be it better or worse. These can search for the content within the sites, mainly textthe textual content of documents. In this paper a novel similarity measure called SMDR (Similarity Measure for Documents Retrieval) is proposed to help retrieve more similar documents from the repository thus contributing considerably to the effectiveness of Web Information Retrieval (WIR) process. Bio-inspired PSO methodology is used with the intent to reduce the response time of the system and optimizes WIR process, hence contributes to the efficiency of the system. This paper also demonstrates a comparative study of the proposed system with the existing method in terms of accuracy, sensitivity, F-measure and specificity. Finally, extensive experiments are conducted on CACM collections. Better precision-recall rates are achieved than the existing system. Experimental results demonstrate the effectiveness and efficiency of the proposed system.

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“…The math search presented in Reference [28] proposed a lattice-based approach based on Formal Concept Analysis (FCA). The latter has been used for information retrieval [29][30][31] as it is a powerful data-analysis technique. This system includes several phases.…”

Section: Retrieval Of Mathematical-expression Systemsmentioning

confidence: 99%

An Assistive Technology for Braille Users to Support Mathematical Learning: A Semantic Retrieval System

2018

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Mathematical learning from digital libraries and the web is a challenging problem for people with visual impairments and blindness. In this paper, we focus on developing the mathematical learning skills of braille users with a new assistive technology developed to retrieve semantically mathematical information from the web. This kind of research is still in the study phase. This paper presents an overview of assistive technologies for braille users followed by a description of the proposed system, which works in four phases. In the first phase, we translate a query math formula in braille into MathML code, and then we extract the structural and semantic meaning from the MathML expressions using multilevel presentation. In the classification phase, we choose a multilevel similarity measure based on K-Nearest Neighbors to evaluate the relevance between expressions. Finally, the query result is converted to braille math expressions. Experiments based on our database show that the new system provides more efficient results in responding to user queries.

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Concept coupling learning for improving concept lattice-based document retrieval

Cited by 22 publications

References 28 publications

Topic Models Ensembles for AD-HOC Information Retrieval

Topic Models Ensembles for AD-HOC Information Retrieval

A PSO Strategy of Finding Relevant Web Documents using a New Similarity Measure

An Assistive Technology for Braille Users to Support Mathematical Learning: A Semantic Retrieval System

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