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.
Recommended Citation
Arunachalam, Ramani, "Personalized Shopping Agent for Semantic Web" (2008). Master's Projects. 78.
DOI: https://doi.org/10.31979/etd.a3j7-qk2g
https://scholarworks.sjsu.edu/etd_projects/78
