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Journal Article

Semantic Retrieval Research Based on Ontology

TL;DR: The authors' library information retrieval system takes advantage of ontology, which expands the requirements of users to a semantic word set, and provides a document analyzer to filter the Web pages returned by the search agent according to a certain algorithm.
Abstract: The rapid growth and diversities of Web information bring a lot of difficulties to efficient information retrieval.The current information retrieval tools just offer-based searching,but ignore the semantic content of the keyword itself.The authors' library information retrieval system takes advantage of ontology,which expands the requirements of users to a semantic word set,and provides a document analyzer to filter the Web pages returned by the search agent according to a certain algorithm.Consequently it presents the most relavant documents to the users.
Citations
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Journal ArticleDOI
TL;DR: The proposed method improves semantic similarity retrieval by incorporating word embeddings trained by Word2Vec and shows that the proposed method further improves the accuracy of the similarity retrieval.

12 citations

Journal ArticleDOI
TL;DR: Three component retrieval ways based on browser, facet and term, the five corresponding matching models and two matching algorithms are proposed to meet the component reuse of various searching requirements and that these ways are feasible in retrieval efficiency.
Abstract: With the development of the component technology and the expansion of component library, representing and retrieving components, the two core technologies of component library management have been a focus on research hot issues in researches. Based on the present widely-used component faceted classification description method and its features, and from the different requirements and ways of component retrieval that were used by component re-users, three component retrieval ways based on browser, facet and term, the five corresponding matching models and two matching algorithms are proposed. The theoretical analysis and experimental results show that the three kinds of retrieval methods used in large-scale component library component retrieval, will meet the component reuse of various searching requirements and that these ways are feasible in retrieval efficiency..

3 citations

Journal ArticleDOI
TL;DR: Three kinds of term component retrieval methods and the corresponding model of the five matches and two matching algorithms are proposed and theoretical analysis and experimental results show that the three kinds of retrieval methods used in large-scale component library component retrieval are feasible.
Abstract: With the development of component technology and component library expansion, component representation and retrieval technology as the component library management two core technologies has become a research hotspot. According to the current widely used methods described and characteristics of components faceted classification, this paper starting from component reuse by different search methods,based on view search method、based on faceted search method、based on terms retrieval method three kinds of term component retrieval methods and the corresponding model of the five matches and two matching algorithms are proposed. Theoretical analysis and experimental results show that the three kinds of retrieval methods used in large-scale component library component retrieval, to meet the component reuse of various search requirements and the retrieval efficiency is feasible.

3 citations


Cites methods from "Semantic Retrieval Research Based o..."

  • ...Literature [5] and [6] proposed description method and retrieval method based on ontology....

    [...]

Proceedings ArticleDOI
24 May 2019
TL;DR: The improved BM25F sorting algorithm has the retrieval effect and can be more consistent with the needs of the vast number of users.
Abstract: The BM25F correlation sorting algorithm is mainly implemented on the basis of the BM25 algorithm. However, it failed to take into account the impact of multiple other impact factors on the ranking of search results. In order to effectively solve this problem, According to the comprehensive influence factors of the journals, Reader’s clicks, downloads, and citations for articles, Article published by the time period, The influence of long vocabulary and short vocabulary on the ranking of retrieval results is also considered. And set weight parameters for it, Then merge with the BM25F search result sorting algorithm formula. So as to improve and optimize the score of retrieval results. It is proved by the experimental results. The improved BM25F sorting algorithm has the retrieval effect. It can be more consistent with the needs of the vast number of users. It enables articles with relevant frontiers to get higher scores.

1 citations


Cites background from "Semantic Retrieval Research Based o..."

  • ...However, in addition to the above-mentioned influencing factors, there are many factors that have a great influence on the ranking of search results, such as the influence of long vocabulary and short vocabulary expression meanings of multi-query keywords [5], the time when the document is published [6], the comprehensive impact factor [7] of the document source itself, and the impact factor such as the number of clicks and downloads [8]....

    [...]

References
More filters
Journal ArticleDOI
TL;DR: Three component retrieval ways based on browser, facet and term, the five corresponding matching models and two matching algorithms are proposed to meet the component reuse of various searching requirements and that these ways are feasible in retrieval efficiency.
Abstract: With the development of the component technology and the expansion of component library, representing and retrieving components, the two core technologies of component library management have been a focus on research hot issues in researches. Based on the present widely-used component faceted classification description method and its features, and from the different requirements and ways of component retrieval that were used by component re-users, three component retrieval ways based on browser, facet and term, the five corresponding matching models and two matching algorithms are proposed. The theoretical analysis and experimental results show that the three kinds of retrieval methods used in large-scale component library component retrieval, will meet the component reuse of various searching requirements and that these ways are feasible in retrieval efficiency..

3 citations

Journal ArticleDOI
TL;DR: Three kinds of term component retrieval methods and the corresponding model of the five matches and two matching algorithms are proposed and theoretical analysis and experimental results show that the three kinds of retrieval methods used in large-scale component library component retrieval are feasible.
Abstract: With the development of component technology and component library expansion, component representation and retrieval technology as the component library management two core technologies has become a research hotspot. According to the current widely used methods described and characteristics of components faceted classification, this paper starting from component reuse by different search methods,based on view search method、based on faceted search method、based on terms retrieval method three kinds of term component retrieval methods and the corresponding model of the five matches and two matching algorithms are proposed. Theoretical analysis and experimental results show that the three kinds of retrieval methods used in large-scale component library component retrieval, to meet the component reuse of various search requirements and the retrieval efficiency is feasible.

3 citations

Proceedings ArticleDOI
24 May 2019
TL;DR: The improved BM25F sorting algorithm has the retrieval effect and can be more consistent with the needs of the vast number of users.
Abstract: The BM25F correlation sorting algorithm is mainly implemented on the basis of the BM25 algorithm. However, it failed to take into account the impact of multiple other impact factors on the ranking of search results. In order to effectively solve this problem, According to the comprehensive influence factors of the journals, Reader’s clicks, downloads, and citations for articles, Article published by the time period, The influence of long vocabulary and short vocabulary on the ranking of retrieval results is also considered. And set weight parameters for it, Then merge with the BM25F search result sorting algorithm formula. So as to improve and optimize the score of retrieval results. It is proved by the experimental results. The improved BM25F sorting algorithm has the retrieval effect. It can be more consistent with the needs of the vast number of users. It enables articles with relevant frontiers to get higher scores.

1 citations