Book Chapter or Conference Paper Title
CSSO: ontology-based framework for semantic interoperatability between heterogeneous web sources
Department of Computer Science
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24th Americas Conference on Information Systems · AMCIS 2018
New Orleans, LA, United States of America
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.
Rajput, D., & Khoja, D. (2018). CSSO: Ontology-Based Framework for Semantic Interoperatability Between Heterogeneous Web Sources.
Kazi, S., Rajput, Q., & Khoja, S. A. (2018). CSSO: ontology-based framework for semantic interoperatability between heterogeneous web sources., 1-5. Retrieved from https://ir.iba.edu.pk/faculty-research-series/82