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Traditional assignment problem can not deal with fuzzy and uncertain evaluation data, which hinders the development of assignment problem (AP). With the deep study on subjective evaluation and linguistic model, we presented an improved 2-Tuple model for task assignment with multi-mode and multi-resource information. By using the model, we could standardize and fuse the evaluation data, and then find...
UML sequence diagrams are widely used as a behavioral modeling language for interactive systems for their concise and intuitive expression, especially a few high security systems. However, UML sequence diagrams lack precise formal description of semantics when they are used in modeling of the interactions between objects. To solve the problem, this paper proposes a solution by translating the UML...
Semantic relatedness is a very important research field and it has been used in many applications. Most of current works depend on the hierarchy of WordNet, which results in restricted calculation objects and language, although context vector method and Google distance do not have such drawbacks, but the accuracy is not satisfied. This paper presents a new semantic relatedness calculation method by...
Calculation of weight of entities in ontologies is valuable as it facilitates the searching, ranking, conflicts solving and elements removing problem of ontologies. Current weight calculation methods just consider the structure properties of ontology. We argue that weight of entities in ontology should be changed along with the using of ontology, similar with human's knowledge. In this paper, we propose...
Although there are many resources used in Natural Language Process, a specialized knowledge base used in word sense disambiguation(WSD) is still a shortage. By extracting knowledge from different resources and using them, we can improve the accuracy rate of word sense disambiguation. In this article, we use different methods existed to extract properties from The Grammatical Knowledge-base of Contemporary...
The paper focuses on the phenomenon of noun omission in the natural language understanding system. Based on the analysis of the omission in user requirements in natural language form, we will eventually result into the conceptual design requirements or design parameters. Firstly the paper analyze the omitted phenomenon, briefly describe the omission of several types of fixed structure in semantic...
Nowadays, with rapid popularization and development of the Internet, Semantic web plays a more important role in the design of information system. But in the construction of teaching resource library, there seldom involve in this technology. So this paper proposes a design and development framework for teaching resource library system that uses semantic web technology. The use of semantic web can...
Applying semantic technologies to C2 organization is an up-to-date research direction which is used to achieve information sharing quickly and effectively for improving information service. This paper reviewed some methodological approaches about C2 organization and presented the extension PCANS (ePCANS) model, based on it, provided Language Concept Graph (LCG) based on ePCANS model to represent ontology...
Question classification is an important part of Chinese question answering system, and the result of question classification directly affects the quality of question answering. This paper presents a new method on feature extraction for question classification. HowNet and dependency parsing are used in this new method. The classification experimental results using SVM classifier have shown that the...
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