Semantic Web based intelligent product and service search framework for location-based services

As the potential market of L-commerce grows quickly, the necessity of location aware product and service search and recommendation methodology is also growing rapidly. However, existing related researches still suffer from problems such as rigidity of location aware service platform since their approaches are strongly dependent on their own proprietary ontologies, which make them closed systems to the world. To resolve this problem, we propose a semantic web based intelligent product and service search framework for L-commerce. The proposed framework makes a more flexible and effective product and service search available by providing a real-time ontology mapping mechanism between heterogeneous ontologies and taxonomies for products and services. As result, this makes accessible product and service information more abundant and at the same time, improves our search mechanism's precision while achieving user satisfaction of the search service. Our approach recommends the most relevant products or services by adopting multi-attribute based location aware search and evaluation methodologies in mobile environment. Our proposed framework is expected to contribute to realization of L-commerce by maximizing user satisfaction of the search for products and services in the future.