An ontology-based retrieval system using semantic indexing

Kara, Soner; Alan, Ozgur; Sabuncu, Orkunt; Akpinar, Samet; Cicekli, Nihan Kesim; Alpaslan, Ferda Nur

doi:10.1016/j.is.2011.09.004

Cited by 105 publications

(7 citation statements)

References 28 publications

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“…Performance of the system is improved when compared to Traditional Search. Kara et al (2010) were not able to achieve the 100% precision and recall values.…”

Section: Semantic Indexingmentioning

confidence: 89%

Wordnet and Ontology Based Query Expansion for Semantic Information Retrieval in Sports Domain

Devi¹,

Gandhi²

2015

Journal of Computer Science

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Semantic Search has been a major longing factor from the envisage state of Semantic Web. Information on the Web is growing at a very rapid pace and has become quite voluminous over the past few years. Semantics of the query is not considered in Traditional Search system since it is a mere Keyword based Search. To increase the number of relevant documents retrieved, queries need to be disambiguated by looking at their context. A query expansion algorithm for Semantic Information Retrieval in Sports Domain (SIRSD) is proposed to do Semantic Search to improve search over large document repositories. This algorithm reformulates user queries by using Word Net and domain ontology to improve the returned results. Our proposal is illustrated with sample experiments showing improvements with respect to Traditional Search and providing ground for further research and discussion. SIRSD reduces the issue of semantic interoperability during the user query search. It has been inferred that there will be a higher value of average precision and recall for the Semantic Search system when compared to Traditional Search. The results show its effectiveness in generating a suitable number of query search with an accuracy of 87.1% compared to other competitors of generic search engines.

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“…Performance of the system is improved when compared to Traditional Search. Kara et al (2010) were not able to achieve the 100% precision and recall values.…”

Section: Semantic Indexingmentioning

confidence: 89%

Wordnet and Ontology Based Query Expansion for Semantic Information Retrieval in Sports Domain

Devi¹,

Gandhi²

2015

Journal of Computer Science

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“…With respect to the shortcomings of traditional citation information services, the introduction of ontology may help users to improve their searches aimed at multiple citation retrieval. In 2012, Kara, Alan, Sabuncu, Akpınar, Cicekli, and Alpaslan [18] found that while thesauruses are concerned with meanings at the level of words, ontologies more specifically deal with meanings at the level of real-world entities denoted by words. That is, ontologies deal with the interpretation of words in terms of real-world entities.…”

Section: Related Workmentioning

confidence: 99%

The Impact on Citation Analysis Based on Ontology and Linked Data

Xiao¹,

Shi²,

Wang³

2018

Scientometrics

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Research focus: The aim of this chapter is to introduce a new citation analysis and service framework based on the semantic web technologies (e.g., ontology and linked data). Research methods: This research project is based on a review of relevant literature and a series of experimental results based on ontology and linked data. Motivation: Traditional citation analysis methods and tools are overly dependent on citation databases, and traditional citation information service may ignore the semantics of knowledge resources and lack ability to store and query data in a machine-readable mode. Findings: The findings underline that the new citation analysis and service system framework based on ontology and linked data are feasible, which can integrate information requirements and knowledge services, and provide users with more personalized and comprehensive services.

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“…In (Kara et al, 2012), an information extraction system based on ontology and recovering systems and their applications in football environment was presented. In general, this work comprises three subjects in semantic searching: usage facility, scalability and facility of recovery.…”

Section: Review Of Literaturementioning

confidence: 99%

A Proposal of an E-Learning Inter-Operable Platform Based on Semantic Web

Rosales-Huamaní¹,

Sequera²,

Cañamero³

et al. 2015

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Electronic learning, commonly called e-learning, has the goal of using technology to spread knowledge. Actually, the fast growing of Internet has allowed the creation of a variety of e-learning platforms. Thus there is the need for the regulation and interoperation of these platforms. Interoperability is a key factor in e-learning systems because it allows exchange and reuse of educational resources developed in different platforms. Problems may appear in their design and implementation because of the lack of interoperability among educative platforms contents. For that reason, it is important to use meaningful information to make possible the interoperability among different environments and to help in the management of proper contents. This is the area where Semantic Web may play a key role for reaching this goal. In this work, we propose the design of an e-learning platform prototype, that using semantic meaning, helps in the solution of interoperability problems.

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An ontology-based retrieval system using semantic indexing

Cited by 105 publications

References 28 publications

Wordnet and Ontology Based Query Expansion for Semantic Information Retrieval in Sports Domain

Wordnet and Ontology Based Query Expansion for Semantic Information Retrieval in Sports Domain

The Impact on Citation Analysis Based on Ontology and Linked Data

A Proposal of an E-Learning Inter-Operable Platform Based on Semantic Web

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