Start Date
16-8-2018 12:00 AM
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
Recommended Citation
kazi, Samreen; Rajput, Dr. Quratulain; and Khoja, Dr.Shakeel, "CSSO: Ontology-Based Framework for Semantic Interoperatability Between Heterogeneous Web Sources" (2018). AMCIS 2018 Proceedings. 1.
https://aisel.aisnet.org/amcis2018/Semantics/Presentations/1
CSSO: Ontology-Based Framework for Semantic Interoperatability Between Heterogeneous Web Sources
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