An intelligent inventive system for personalised webpage recommendation based on ontology semantics
- Title
- An intelligent inventive system for personalised webpage recommendation based on ontology semantics
- Creator
- Deepak G.; Ahmed A.; Skanda B.
- Description
- Owing to the information diversity in the web and its dynamically changing contents, extraction of relevant information from the web is a huge challenge. With the World Wide Web transforming into a more organised semantic web, the incorporation of semantic techniques to retrieve relevant information is highly necessary. In this paper, a dynamic ontology alignment technique for recommending relevant webpages is proposed. The strategy focuses on knowledge tree construction by computing the semantic similarity between the query terms as well as the ontological entities. Furthermore, the semantic similarity is again computed between nodes of the constructed knowledge tree and URLs in the URL repository to recommend relevant webpages. The dynamic ontology alignment by computing their respective semantic similarity constitutes Ontology Semantics. Personalisation is achieved by prioritisation of webpages by content-based analysis of the users web usage data. An overall accuracy of 87.73% is achieved by the proposed approach. Copyright 2019 Inderscience Enterprises Ltd.
- Source
- International Journal of Intelligent Systems Technologies and Applications, Vol-18, No. 45689, pp. 115-132.
- Date
- 2019-01-01
- Publisher
- Inderscience Publishers
- Subject
- Ontologies; Personalised; Semantic strategy; Web search; Webpage recommendation system
- Coverage
- Deepak G., Department of Computer Science and Engineering, Faculty of Engineering, Christ University, Bangalore, 560074, India; Ahmed A., RSA Business Unit, Dell EMC, Bangalore, 560048, India; Skanda B., Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, 560001, India
- Rights
- All Open Access; Bronze Open Access
- Relation
- ISSN: 17408865
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Deepak G.; Ahmed A.; Skanda B., “An intelligent inventive system for personalised webpage recommendation based on ontology semantics,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/16793.