https://doi.org/10.31979/etd.a3j7-qk2g">

Publication Date

2008

Degree Type

Master's Project

Degree Name

Master of Science (MS)

Department

Computer Science

Abstract

Current online shopping experience has limitations due to lack of uniform, inter- linked machine readable data across various shopping sites. This project attempts to improve the experience by employing semantic web concepts such as OWL and SPARQL. A new OWL ontology is defined for product data and real-life data from shopping sites such as Amazon, Yahoo shopping are imported and inter-linked using this ontology. A web-based personalized shopping agent is implemented to query this inter- linked database by specifying the preferences for various product attributes. Screenshots of the resulting system and its usage have been provided.

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