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Formal Concept Analysis (FCA) is a principled way of automatically deriving ontology from larger textual data and interested by many researchers. Central of FCA is a pure and well defined formal context. Exploiting documents with characteristic words to form formal context, denoted as textual formal context (TFC), which lead to generate a highly sparse two-dimensional space with lots of noise. It...
In order to improve low efficiency conducted in text classification and measuring similarity using vector space model for representing text. This paper proposed a method for reducing feature items of feature vector based on thesaurus. It used semantic relation of thesaurus such as Y, D, F, S, C symbol to merge and reconstruct the feature items. And then the method was applied to formal concept analysis...
Mashup is becoming a powerful approach for end-users to meet their ad-hoc requirements based on existing services. Quite a few researches have been performed to achieve rapid, on-demand, intuitive development of mashups, which mainly focus on finding suitable quality components from a large number of available services. However, for mashups with procedure and context features, it is more crucial and...
In an open e-commerce PaaS platform, there are many different kinds of applications, such as online stores, online payment systems and online logistics. For each of these application types, multiple applications are delivered by different ISVs and tenanted by e-commerce participants. Generally, there are frequent and extensive collaborations among the SaaS applications with multiple roles involved...
Semantic relatedness measurement between words is always a hot issue interested by many researchers. It can be applied to various tasks of NLP and IR with a big challenge. We propose a method for measuring semantic relatedness between words using lexical context in this paper. The method can mainly be divided into two steps. Firstly, for each word of a word-pair, a lexical context is generated exploiting...
Ontology is a conceptual model, which is used on data exchange between heterogeneous data sources in semantic web, and liked by many people. Because of the shortage of the uniform standards for constructing ontology, it brings in lots of problems of ontology heterogeneity. Ontology mapping aims at these problems, and semantic similarity between ontologies is the key part of ontology mapping. In this...
The concept lattice is an effective tool for data analysis and knowledge extraction. In this paper, the method of extracting classification rules based on concept lattice is studied. According to the characteristics of classification rules, only the nodes with class attribute are generated in the process of constructing concept lattices; thereby the number of lattice nodes has been reduced and the...
In this paper, dual direction transmission model is put forward to realize the simulation of environment sensitive virtual plants and the resource competition. Binary tree is introduced to store the expression of L system that make it is easer to get the logical relationship among nodes which close to each other. Experiment result shows that context search in the process of virtual plants growth is...
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