Abstract
Recently, online social networking is a specific kind of promising group and has drawn masses. These networks have delivered distinct provisions for clients and permit them to fabricate a description and share their awareness and understanding. Exploring users’ profiles and their statistics is the most frequent of works in social networks. We introduce a way of searching method which is depending on ontology in our paper. Here, ontology is constructed for each profile in social network and then the same is implemented for client’s query. Then, these ontologies are matched using ontology matching techniques, and the similarities between them are evaluated. Lastly, according to similarities, results are developed and represented that are related to user’s query. The experiments show that the presented method is ample and gives satisfactory results.
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Kumar, U., Sharma, U., Taterh, S. (2019). Working of an Ontology Established Search Method in Social Networks. In: Ray, K., Sharma, T., Rawat, S., Saini, R., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 742. Springer, Singapore. https://doi.org/10.1007/978-981-13-0589-4_68
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DOI: https://doi.org/10.1007/978-981-13-0589-4_68
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