CSSO: ontology-based framework for semantic interoperatability between heterogeneous web sources

Department

Department of Computer Science

Was this content written or created while at IBA?

Yes

Document Type

Conference Paper

Publication Date

1-1-2018

Author Affiliation

  • Samreen Kazi is PhD Scholar at the Department of Computer Science, Institute of Business Administration, Karachi
  • Quratulain Rajput is Assistant Professor at Institute of Business Administration, Karachi
  • Shakeel Ahmed Khoja is Professor at Institute of Business Administration, Karachi

Conference Name

24th Americas Conference on Information Systems · AMCIS 2018

Conference Location

New Orleans, LA, United States of America

Conference Dates

43328

ISBN/ISSN

85054241984 (Scopus)

First Page

1

Last Page

5

Abstract / Description

The majority of data on the web is of semi-structured or unstructured form but due to syntactic and semantic differences, attempts to combine semi-structured data that stems from diverse Internet sources are often unsuccessful. The use of ontologies can significantly improve semantic richness of texts presented on the Web but taxonomy building is tedious task requiring extra human resource. This paper explores methods of automatizing the process of creating an ontology-based approach as a solution for scholarships retrieval, using heterogeneous data sources and resolving scheme-level semantic conflicts among data. To achieve this, a framework called CSSO (Computer Science Scholarship Ontology) is created to perform semantic annotation by employing ontology to build knowledge, generate rules and obtain information using reasoning with help of SWRL rules. In the CSSO framework a semantic framework suggests a general methodology of transforming existing resources into "semantically enhanced" ones to obtain generic information.

Citation/Publisher Attribution

Rajput, D., & Khoja, D. (2018). CSSO: Ontology-Based Framework for Semantic Interoperatability Between Heterogeneous Web Sources.

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