An Approach to Software Selection Using Semantic Web.
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| Title: | An Approach to Software Selection Using Semantic Web. |
|---|---|
| Authors: | Daehnhardt, Elena1 elena@daehnhardt.com, Yanguo Jing1 y.jing@londonmet.ac.uk |
| Source: | IAENG International Journal of Computer Science. 2013, Vol. 40 Issue 4, p238-249. 12p. |
| Subjects: | Computer software selection, Semantic Web, Information theory, Web search engines, Information sharing, Knowledge management, Decision making |
| Abstract: | For a selection of software applications well-fitting to business needs, accurate knowledge of the needs and available technical skills are required. In a survey we conducted, most of the participants indicated that they consult industry solutions and employ Internet search engines to find suitable software products. However, since a keyword search does not consider semantics of terms describing software characteristics, pertinent search results might not be retrieved. We made a hypothesis that the addition of semantics describing software characteristics could assist in finding software-related information in a more structural way, which would improve such a search. In order to support the software selection decision we investigated the application of semantic web technology. In addition, we proposed a new approach for an information exchange between software providers and consumers, with the aim of a platform-independent information management. For the description of software products we employed a Resource Description Framework and SPARQL for further querying their descriptions. Our prototype, assisting in cross-platform information exchange and structured search, demonstrated an information exchange between software vendors and customers. This allows users who purchase software to be supported in their decision, and software developers to receive feedback for further software improvement. Experiments with the prototype revealed a performance overhead of SPARQL queries when compared to MySQL database queries. It is proposed that further optimization for SPARQL queries is needed in order to improve the response time of working with triple store. Overall, the test outcomes demonstrated that the proposed solution supports the process of selecting software and has the potential of improving IT infrastructure management practices. [ABSTRACT FROM AUTHOR] |
| Copyright of IAENG International Journal of Computer Science is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 92894538 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An Approach to Software Selection Using Semantic Web. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Daehnhardt%2C+Elena%22">Daehnhardt, Elena</searchLink><relatesTo>1</relatesTo><i> elena@daehnhardt.com</i><br /><searchLink fieldCode="AR" term="%22Yanguo+Jing%22">Yanguo Jing</searchLink><relatesTo>1</relatesTo><i> y.jing@londonmet.ac.uk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Computer+Science%22">IAENG International Journal of Computer Science</searchLink>. 2013, Vol. 40 Issue 4, p238-249. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+software+selection%22">Computer software selection</searchLink><br /><searchLink fieldCode="DE" term="%22Semantic+Web%22">Semantic Web</searchLink><br /><searchLink fieldCode="DE" term="%22Information+theory%22">Information theory</searchLink><br /><searchLink fieldCode="DE" term="%22Web+search+engines%22">Web search engines</searchLink><br /><searchLink fieldCode="DE" term="%22Information+sharing%22">Information sharing</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+management%22">Knowledge management</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: For a selection of software applications well-fitting to business needs, accurate knowledge of the needs and available technical skills are required. In a survey we conducted, most of the participants indicated that they consult industry solutions and employ Internet search engines to find suitable software products. However, since a keyword search does not consider semantics of terms describing software characteristics, pertinent search results might not be retrieved. We made a hypothesis that the addition of semantics describing software characteristics could assist in finding software-related information in a more structural way, which would improve such a search. In order to support the software selection decision we investigated the application of semantic web technology. In addition, we proposed a new approach for an information exchange between software providers and consumers, with the aim of a platform-independent information management. For the description of software products we employed a Resource Description Framework and SPARQL for further querying their descriptions. Our prototype, assisting in cross-platform information exchange and structured search, demonstrated an information exchange between software vendors and customers. This allows users who purchase software to be supported in their decision, and software developers to receive feedback for further software improvement. Experiments with the prototype revealed a performance overhead of SPARQL queries when compared to MySQL database queries. It is proposed that further optimization for SPARQL queries is needed in order to improve the response time of working with triple store. Overall, the test outcomes demonstrated that the proposed solution supports the process of selecting software and has the potential of improving IT infrastructure management practices. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IAENG International Journal of Computer Science is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 238 Subjects: – SubjectFull: Computer software selection Type: general – SubjectFull: Semantic Web Type: general – SubjectFull: Information theory Type: general – SubjectFull: Web search engines Type: general – SubjectFull: Information sharing Type: general – SubjectFull: Knowledge management Type: general – SubjectFull: Decision making Type: general Titles: – TitleFull: An Approach to Software Selection Using Semantic Web. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Daehnhardt, Elena – PersonEntity: Name: NameFull: Yanguo Jing IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 1819656X Numbering: – Type: volume Value: 40 – Type: issue Value: 4 Titles: – TitleFull: IAENG International Journal of Computer Science Type: main |
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