Semantic Web Techniques for Yellow Page Service Providers
Raghu Anantharangachar, Ramani Srinivasan

TL;DR
This paper proposes a distributed, ontology-based semantic web system for yellow page services that enhances scalability, user contribution, and geo-spatial reasoning, demonstrated through a prototype using Jena and SPARQL extensions.
Contribution
It introduces a scalable, distributed architecture for yellow page services utilizing ontologies, reasoning, and geo-spatial data, with a prototype implementation and user feedback analysis.
Findings
Prototype successfully implemented with Jena and geo-spatial SPARQL extensions.
User testing provided positive structured feedback on usability.
System effectively supports distributed search and vendor-independent standards.
Abstract
Use of web pages providing unstructured information poses variety of problems to the user, such as use of arbitrary formats, unsuitability for machine processing and likely incompleteness of information. Structured data alleviates these problems but we require more. Very often yellow page systems are implemented using a centralized database. In some cases, human intermediaries accessible over the phone network examine a centralized database and use their reasoning ability to deal with the user's need for information. Scaling up such systems is difficult. This paper explores an alternative - a highly distributed system design meeting a variety of needs - considerably reducing efforts required at a central organization, enabling large numbers of vendors to enter information about their own products and services, enabling end-users to contribute information such as their own ratings, using…
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Taxonomy
TopicsSemantic Web and Ontologies · Geographic Information Systems Studies · Data Management and Algorithms
