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http://hdl.handle.net/10603/288912
Title: | Developing a framework for knowledge analytics |
Researcher: | Pallavi Karanth |
Guide(s): | Kavi Mahesh |
Keywords: | Computer Science Computer Science Information Systems Engineering and Technology |
University: | PES University |
Completed Date: | 17-8-2019 |
Abstract: | The field of Analytics has grown over the past decade with the promise of delivering insights from data in all its forms ranging from well-structured to highly unstructured forms such as documents and web pages. With open data and open science initiatives and the development of the Semantic Web, semantic data which includes ontological concepts and relations is becoming available in increasing amounts from diverse applications. Such semantic data is made up of knowledge structures typically in the form of graphs with well-defined hierarchies of concepts and relations specified in an ontology of the domain. Analytics is still in its nascent stage in taking advantage of such semantically rich ontological data to deliver better insights. The ability to analyze semantically rich data enriched by various semantic constraints and knowledge structures can generate insights which can take the field of Analytics to a new level. |
Pagination: | |
URI: | http://hdl.handle.net/10603/288912 |
Appears in Departments: | Department of Computer Science & Engineering |
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