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Automating Property Binding into Informational Aspects from Linked Data

Year 2014, , 31 - 36, 10.10.2014
https://doi.org/10.18100/ijamec.64584

Abstract

Semantic Web is a collaborative effort to bootstrap the Conventional Web (Document Web) content by adding meaningful data structure to it. This transition is to make conventional web’s content more valuable by providing machine understandable and semantically rich structured data. Linked Open Data project is seeding the Semantic Web Vision by publishing and interlinking related structured data. This project resulted in a heap of Linked Open Data which ranges from geographic to cross-domain datasets which provide huge opportunities for knowledge discovery and mash up application development. However to make full use of these datasets, there still lies many challenges which are needed to be trailed. One of the major bottlenecks in Linked Open Data is the extraction and then presentation of semantic data to the naive users. In past many efforts has been made to develop semantic applications which can search the required information from linked data sources accurately, further on can hide the complexities of data, organize and importantly convert the data in a readable format before presenting it to the users. “Concept Aggregation Framework” is one of these applications. According to this framework, the similar type of data is grouped into different aspects and sub-aspects before displaying it. In first step, this framework was practiced in an application known as “CAFSIAL”. However, till now the grouping of the properties into aspects and sub-aspects is being done manually which need to be automated for new resource type alignment in CAFSIAL. This paper presents an automated way of grouping related properties into informational aspects using ontology structure. The evaluation has proved that the grouping of related properties can be automated with good accuracy.

References

  • W3C community project Linking Open Data, 2007. http://esw.w3.org/topic/SweoIG/TaskForces/CommunityProjects/LinkingOpenData
  • Bizer, C., Heath, T., Ayers, D., Raimond, Y., "Interlinking Open Data on the Web", Demonstrations Track at the 4th European Semantic Web Conference, Innsbruck, Austria, 2007
  • Heath, T. and Bizer, C. (2011). Linked Data: Evolving the Web into a Global Data Space (1st edition). Synthesis Lectures on the Semantic Web: Theory and Technology, Morgan and Claypool 1:1., 2011
  • Berners-Lee, T. (2006). Linked Data -- Design Issues, 2006. http://www.w3.org/DesignIssues/LinkedData.html
  • Sauermann, L., Cyganiak, R., Ayers, D., Völkel, M., "Cool URIs for the Semantic Web", W3C Interest Group Note, 2008. http://www.w3.org/TR/2008/NOTE-cooluris-20081203
  • Resource Description Framework, 2004 http://www.w3.org/TR/2004/REC-rdf-concepts-20040210/
  • Latif, A., Afzal, M. T., Us Saeed, A., Hoefler, P., Tochtermann, K.: CAF-SIAL: Concept Aggregation Framework for Structuring Informational Aspects of Linked Open Data. In: Proceedings of NDT 2009. Ostrava (2009)
  • Latif, A., Us Saeed, A., Hoefler, P., Tochtermann, K., Afzal, M. T.: Harvesting Pertinent Resources from Linked Open Data. In: Journal of Digital Information Management, 8(3), pp. 205{212. Digital Information Research Foundation, Chennai (2010)
  • M. Dzbor, J. Domingue, and E. Motta. “Magpie – towards a semantic web browser”.
  • T.B. Lee, Y. Chen, L. Chilton, D. Connolly, R. Dhanaraj, J. Hollenbach, A. Lerer, and D. Sheets. “Tabulator: Exploring and Analyzing linked data on the Semantic Web”.
  • T. Catarci, M. F. Levialdi and C. S. Batini. “Visual Query Systems for Databases: A Survey”.
  • S.F.C. deAraújo and D. Schwabe. “Explorator: A tool for exploring RDF data through direct manipulation”.
  • Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R.and Ives, Z., "DBpeddia: A Nucleus for a Web of Open Data", In Proceeding(s) of the 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Lecture Notes in Computer Science 4825 Springer 2007, ISBN 978–3-540–76297–3, 2007
  • Sir Tim Berners-Lee Talks with Talis about the Semantic Web, Talis, 7 February 2008.
  • DBpedia Sparql endpoint - http://dbpedia.org/sparql
  • Raza, M.A.; Afzal, M.T.; Khanum, A., "Discovering, structuring and visualizing organizations from Linked Open Data," Computer Sciences and Convergence Information Technology (ICCIT) 6th International Conference , pp.738,744, Nov. 29-Dec. 1 2011

Original Research Paper

Year 2014, , 31 - 36, 10.10.2014
https://doi.org/10.18100/ijamec.64584

Abstract

References

  • W3C community project Linking Open Data, 2007. http://esw.w3.org/topic/SweoIG/TaskForces/CommunityProjects/LinkingOpenData
  • Bizer, C., Heath, T., Ayers, D., Raimond, Y., "Interlinking Open Data on the Web", Demonstrations Track at the 4th European Semantic Web Conference, Innsbruck, Austria, 2007
  • Heath, T. and Bizer, C. (2011). Linked Data: Evolving the Web into a Global Data Space (1st edition). Synthesis Lectures on the Semantic Web: Theory and Technology, Morgan and Claypool 1:1., 2011
  • Berners-Lee, T. (2006). Linked Data -- Design Issues, 2006. http://www.w3.org/DesignIssues/LinkedData.html
  • Sauermann, L., Cyganiak, R., Ayers, D., Völkel, M., "Cool URIs for the Semantic Web", W3C Interest Group Note, 2008. http://www.w3.org/TR/2008/NOTE-cooluris-20081203
  • Resource Description Framework, 2004 http://www.w3.org/TR/2004/REC-rdf-concepts-20040210/
  • Latif, A., Afzal, M. T., Us Saeed, A., Hoefler, P., Tochtermann, K.: CAF-SIAL: Concept Aggregation Framework for Structuring Informational Aspects of Linked Open Data. In: Proceedings of NDT 2009. Ostrava (2009)
  • Latif, A., Us Saeed, A., Hoefler, P., Tochtermann, K., Afzal, M. T.: Harvesting Pertinent Resources from Linked Open Data. In: Journal of Digital Information Management, 8(3), pp. 205{212. Digital Information Research Foundation, Chennai (2010)
  • M. Dzbor, J. Domingue, and E. Motta. “Magpie – towards a semantic web browser”.
  • T.B. Lee, Y. Chen, L. Chilton, D. Connolly, R. Dhanaraj, J. Hollenbach, A. Lerer, and D. Sheets. “Tabulator: Exploring and Analyzing linked data on the Semantic Web”.
  • T. Catarci, M. F. Levialdi and C. S. Batini. “Visual Query Systems for Databases: A Survey”.
  • S.F.C. deAraújo and D. Schwabe. “Explorator: A tool for exploring RDF data through direct manipulation”.
  • Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R.and Ives, Z., "DBpeddia: A Nucleus for a Web of Open Data", In Proceeding(s) of the 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Lecture Notes in Computer Science 4825 Springer 2007, ISBN 978–3-540–76297–3, 2007
  • Sir Tim Berners-Lee Talks with Talis about the Semantic Web, Talis, 7 February 2008.
  • DBpedia Sparql endpoint - http://dbpedia.org/sparql
  • Raza, M.A.; Afzal, M.T.; Khanum, A., "Discovering, structuring and visualizing organizations from Linked Open Data," Computer Sciences and Convergence Information Technology (ICCIT) 6th International Conference , pp.738,744, Nov. 29-Dec. 1 2011
There are 16 citations in total.

Details

Primary Language English
Journal Section Research Article
Authors

Atif Latif This is me

Muhammad Tanvir Afzal This is me

Klaus Tochtermann This is me

Muhammad Asif Raza This is me

Publication Date October 10, 2014
Published in Issue Year 2014

Cite

APA Latif, A., Afzal, M. T., Tochtermann, K., Raza, M. A. (2014). Automating Property Binding into Informational Aspects from Linked Data. International Journal of Applied Mathematics Electronics and Computers, 2(4), 31-36. https://doi.org/10.18100/ijamec.64584
AMA Latif A, Afzal MT, Tochtermann K, Raza MA. Automating Property Binding into Informational Aspects from Linked Data. International Journal of Applied Mathematics Electronics and Computers. December 2014;2(4):31-36. doi:10.18100/ijamec.64584
Chicago Latif, Atif, Muhammad Tanvir Afzal, Klaus Tochtermann, and Muhammad Asif Raza. “Automating Property Binding into Informational Aspects from Linked Data”. International Journal of Applied Mathematics Electronics and Computers 2, no. 4 (December 2014): 31-36. https://doi.org/10.18100/ijamec.64584.
EndNote Latif A, Afzal MT, Tochtermann K, Raza MA (December 1, 2014) Automating Property Binding into Informational Aspects from Linked Data. International Journal of Applied Mathematics Electronics and Computers 2 4 31–36.
IEEE A. Latif, M. T. Afzal, K. Tochtermann, and M. A. Raza, “Automating Property Binding into Informational Aspects from Linked Data”, International Journal of Applied Mathematics Electronics and Computers, vol. 2, no. 4, pp. 31–36, 2014, doi: 10.18100/ijamec.64584.
ISNAD Latif, Atif et al. “Automating Property Binding into Informational Aspects from Linked Data”. International Journal of Applied Mathematics Electronics and Computers 2/4 (December 2014), 31-36. https://doi.org/10.18100/ijamec.64584.
JAMA Latif A, Afzal MT, Tochtermann K, Raza MA. Automating Property Binding into Informational Aspects from Linked Data. International Journal of Applied Mathematics Electronics and Computers. 2014;2:31–36.
MLA Latif, Atif et al. “Automating Property Binding into Informational Aspects from Linked Data”. International Journal of Applied Mathematics Electronics and Computers, vol. 2, no. 4, 2014, pp. 31-36, doi:10.18100/ijamec.64584.
Vancouver Latif A, Afzal MT, Tochtermann K, Raza MA. Automating Property Binding into Informational Aspects from Linked Data. International Journal of Applied Mathematics Electronics and Computers. 2014;2(4):31-6.