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Word Net is a widely used lexical knowledge for semantic information processing. Besides English, a lot of languages in the world have their own word nets. However building a new word net always takes tremendous manual labor. In this paper we present a strategy to automatically construct a word net for middle ancient Chinese (Mid acWordNet) which is mapped into the Princeton Word Net (PWN). For each...
Nowadays, cloud applications are developed in Platforms as a Service following the PaaS architecture imposed by several providers. We find in the literature some works describing frameworks and architectures for cloud software development, but there is a lack of a generic methodology which covers the whole application development lifecycle. Our work fits into the perspective of defining a generic...
Dealing with heterogeneous information sources and reasoning techniques allowing for incomplete and inconsistent information is one of current challenges in the area of knowledge representation and reasoning. We advocate for 4QL, a rule-based query language, as a proper tool allowing one to address these challenges. To justify this point of view we discuss a rescue robotics scenario for which a simulator...
Big Data is one of the latest emerging topics in the field of business information systems, and is marketed as being the key for companies' future success. Many analytic solutions are offered by IT companies to help other businesses with the flood of data that is generated within and outside of a company. Despite the extensive use of the notion Big Data for marketing purposes, there is no common understanding...
Through presented paper, we provide a simple negotiation model in a multi-agent system, where every agent has incomplete set of information about all other agents. Agents in our algorithm collaborate with other agents for optimizing the final solution while preserving their individual privacies. Agents implement the idea of collaboration by sharing their profits with other agents. Therefore an agent...
This paper proposes two methods for solving the expert finding problem. In order to enhance the correctness, a C-value method is applied to these methods for query expansion. After query expansion, proposed system calculates correlation between all query terms and experts, and finally outputs a list of experts. The experiment results show that the proposed methods can provide higher precision than...
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