Using Social Data as Context for Making Recommendations: An Ontology based Approach
Using Social Data as Context for Making Recommendations: An Ontology based Approach
Web-based knowledge systems support an impressive and growing amount of information. Among the difficulties faced by these systems is the problem of overwhelming the user with a vast amount of data, often referred to as information overload. The problem has escalated with the ever increasing issues of time constraints and the extensive use of handheld devices. The use of context is one possible way out helping with this situation. To provide a more robust approach to context gathering we propose the use of Social Web technologies alongside the Semantic Web. As the social web is heavily used it could provide a better understanding of a user’s interests and intentions. The proposed system gathers information about users from their social web identities and enriches it with ontological knowledge. Thus an interest model for the user can be created which can serve as a good source of contextual knowledge. This work bridges the gap between the user and system searches by analyzing the virtual existence of a user and making interesting recommendations accordingly.
social web web science semantic web
Noor, Salma
b0093e49-487b-48eb-a778-34f3e52b2267
Martinez, Kirk
5f711898-20fc-410e-a007-837d8c57cb18
2009
Noor, Salma
b0093e49-487b-48eb-a778-34f3e52b2267
Martinez, Kirk
5f711898-20fc-410e-a007-837d8c57cb18
Noor, Salma and Martinez, Kirk
(2009)
Using Social Data as Context for Making Recommendations: An Ontology based Approach.
9th European Semantic web Conference, Workshop on Context, Information And Ontologies (CIAO2009), Crete..
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Conference or Workshop Item
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Abstract
Web-based knowledge systems support an impressive and growing amount of information. Among the difficulties faced by these systems is the problem of overwhelming the user with a vast amount of data, often referred to as information overload. The problem has escalated with the ever increasing issues of time constraints and the extensive use of handheld devices. The use of context is one possible way out helping with this situation. To provide a more robust approach to context gathering we propose the use of Social Web technologies alongside the Semantic Web. As the social web is heavily used it could provide a better understanding of a user’s interests and intentions. The proposed system gathers information about users from their social web identities and enriches it with ontological knowledge. Thus an interest model for the user can be created which can serve as a good source of contextual knowledge. This work bridges the gap between the user and system searches by analyzing the virtual existence of a user and making interesting recommendations accordingly.
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ciao20090_submission_11.pdf
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Published date: 2009
Additional Information:
Event Dates: 1st June, 2009
Venue - Dates:
9th European Semantic web Conference, Workshop on Context, Information And Ontologies (CIAO2009), Crete., 2009-06-01
Keywords:
social web web science semantic web
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 267685
URI: http://eprints.soton.ac.uk/id/eprint/267685
PURE UUID: e1af9bea-76ff-48d3-8078-e8be05d509ce
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Date deposited: 19 Jul 2009 14:08
Last modified: 15 Mar 2024 02:53
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Contributors
Author:
Salma Noor
Author:
Kirk Martinez
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