A Novel Service Oriented Model for Query Identification and Solution Development using Semantic Web and Multi Agent System
Muneendra Ojha

TL;DR
This paper introduces a service-oriented architecture that combines multi-agent systems and semantic web technologies to identify user queries and develop solutions efficiently across various domains.
Contribution
It presents a novel two-stage architecture integrating semantic web and multi-agent systems for query understanding and solution development in a unified framework.
Findings
Effective query parsing and property extraction.
Automated solution search via semantic web agents.
Optimized service delivery through negotiation and auction techniques.
Abstract
In this paper, we propose to develop service model architecture by merging multi-agentsystems and semantic web technology. The proposed architecture works in two stages namely, Query Identification and Solution Development. A person referred to as customer will submit the problem details or requirements which will be referred to as a query. Anyone who can provide a service will need to register with the registrar module of the architecture. Services can be anything ranging from expert consultancy in the field of agriculture to academic research, from selling products to manufacturing goods, from medical help to legal issues or even providing logistics. Query submitted by customer is first parsed and then iteratively understood with the help of domain experts and the customer to get a precise set of properties. Query thus identified will be solved again with the help of intelligent agent…
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Taxonomy
TopicsMulti-Agent Systems and Negotiation · Semantic Web and Ontologies · Service-Oriented Architecture and Web Services
