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Due to the heterogeneity of the semantic web, the integration of client applications and services using slightly different ontologies is a major challenge, shown by the significant research effort directed towards aligning ontologies and identifying matching concepts. A novel method for service selection by matching a query with services, represented by input and output parameters and a description,...
Data quality is crucial for data integration and the consistency dimension is an important issue in data quality. Traditional methods of data consistency focus on the conflict or inconsistency that occurs in the same concept. However, it is sometimes insufficient to ensure the data consistency only using these methods. In this paper, we divide the conflicts among different data sources into the traditional...
A method for facilitating the communication between agents which have close ontologies by constructing a model of the interlocutor agent ontology is presented. The model of the interlocutor agent understanding is gradually refined based on the information exchanged between agents. We are in the situation where only the terms communicated between agents are made public and known by the other agent...
Recently, the importance of semantics on the WWW is widely recognized and a lot of semantic information (RDF OWL etc.) is being built/published on the WWW. However, the lack of ontology mappings becomes a serious problem for the semantic Web since it needs well defined relations to retrieve information correctly by inferring the meaning of information. One to one mapping is not an efficient method...
The purpose of this research project is to consolidate and formalize as ontology, on the basis of an extensive literature review, the key processes and skills required for successful implementation of ERP in an SME. Using the Protege software program, the research identified and formalized 395 terms, each of which has its own definition. Exploitation of this ontology could take multiple and varied...
The work presented in this paper aims to combine Latent Semantic Analysis methodology, common sense and traditional knowledge representation in order to improve the dialogue capabilities of a conversational agent. In our approach the agent brain is characterized by two areas: a "rational area", composed by a structured, rule-based knowledge base, and an "associative area", obtained...
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