Overview

 

SEWASIE is implementing an advanced search engine that provides intelligent access to heterogeneous data sources on the web via semantic enrichment. This can be thought of as the basis of structured secure web-based communication. SEWASIE provides users with a search client that has an easy-to-use query interface, and which can extract the required information from the Internet and to show it in a useful and user-friendly format. From an architectural point of view, the prototype will provide a search engine client and indexing servers and ontologies.

Objectives:

• Develop an agent-based, secure, scalable and distributed system architecture for semantic search (ontology based) and for structured web-based communication (for electronic negotiation).
• Develop a general framework responsible for the implementation of the semantic enrichment processes leading to semantically-enriched virtual data stores that constitute the information nodes accessible by the users. The created ontology must have a multilingual interface, based on a logical layer and coded using widespread W3C standards.
• Develop a general framework for query management and information reconciliation taking into account the semantically enriched data stores. First, commonalities among queries have to be detected, then the relevant virtual data stores responsible for answering parts of the queries determined and the queries accordingly split. Finally, the sub-answers have to be combined in order to provide the user with an overall answer to the original query.
• Develop an information-brokering component that includes methods for collecting, contextualising and visualising semantically-rich data. To obtain these result, intelligent information filtering and knowledge guidance services have to be developed on the basis of semantic web technologies. Structured data has to be linked to semi- or unstructured data via ontologies. The collected data has to be visualised to show related documents and search result contexts for the purpose of financial control.
• Develop structured communication processes that enable the use of ontologies. The communication tool enables structured negotiation support for human negotiators engaging in business-to-business electronic commerce and employing intelligent software agents for some routine communication task.
• Develop end-user interfaces for both the semantic design and the query management. The first is a tool supporting the design, the management, and the storage of the semantic information associated to virtual data stores together with a conceptual modelling methodology associated to the devised data model. The latter is a tool for end-user query management and intelligent navigation exploiting the semantic information associated to virtual data stores and to the global virtual view.

Benefits:

There are many benefits to be had from such a system. There will be a reduction of transaction costs by efficient search and communication facilities. Within the business context, the system will support integrated searching and negotiating, which will promote the take-up of key technologies for SMEs and give them a competitive edge.