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The causation of cancer often involves the joint deregulation of multiple biological processes. Thus, it is interesting to extract multi-function features of cancer genes and study their functional coordination involved in tumorigenesis. Here, based on Gene Ontology, we proposed a heuristics strategy to extract multi-function features which are significantly overrepresented with cancer genes. We showed...
Description Logics (DL) has become popular knowledge representation formalisms for various applications in the Semantic Web. However, DL has its limit in knowledge representation ability as it can only represent one free variable at a time. Compared to DL, Horn logic covers different but overlapping areas of knowledge representation. This paper presents an approach to build Horn logic based rules...
Building ontology from scratch need identify the basic concepts, and their attributes and relationships. In terms of information integration, draft concepts, attributes and relationships can be directly captured by processing schemas of data sources. In this context, we present a hybrid semantic discovery approach, which is an extension of our previous work[1][2] to capture concepts, attributes and...
At present, several feature meta-models have been come up with. However, they can't meet the requirements of dynamic Internet environment or software reuse. This paper proposes a feature meta-model based on ontology. In particular, it can adapt to various types of changes in the dynamic environment and can make design and implementation more convenient than traditional methods. Finally, we give out...
Worldwide health scientists are producing, accessing, analyzing, integrating, and storing massive amounts of digital medical data daily, through observation, experimentation, and simulation. If we were able to effectively transfer and integrate data from all possible resources, then a deeper understanding of all these data sets and better exposed knowledge, along with appropriate insights and actions,...
The system of arms information extraction based on the ontology, consists of two parts: knowledge base, processing program. It realizes the arms category determination based on text categorization, and realizes the arms object determination based on named entity recognition. It realizes the information extraction according to information extraction rules based on syntax and semantic constraint. It...
With the increase of the number of independent database applications, Large organizations are eager to an effective solution of heterogeneous and distributed databases integration. Ontology is defined as an explicit formal specification of a shared conceptualization. It can provide semantics through relations between concepts and can be widely used on heterogeneous data. This paper mainly discusses...
Semantic Web technology highly depends on the quality of ontology as it reduces or eliminates conceptual confusion and reuses knowledge. In order to enhance quality of ontology, there is one major problem with lexical representation of ontology. Current lexical representation is term which may have different meanings, i.e., the term is polysemous, this can result in frustrating misunderstanding and...
Assessing concept similarity is an importance activity in ontology engineering. In this paper, a new similarity measure model is proposed, in which the information content of meet-irreducible elements is employed to evaluate the similarity degree of the two concepts of concept lattice. The proposed method combines featural and structural information into decision and preserves more structure information...
Tacit knowledge transfer has been the core of knowledge management all long. On the basis of reviewing on the existing literatures about knowledge transfer, this paper, stating from ontology, proposes an ontology-based architecture of tacit knowledge transfer which enable efficient reuse and sharing of tacit knowledge. The architecture is composed by the acquisition module, the delivery module, and...
In order to enhance the reuse of product design knowledge, a design knowledge management framework is proposed, which consists of three functional parts: design knowledge acquisition, knowledge modeling, and design knowledge retrieval. A method for design knowledge modeling based on ontology is studied, which includes design knowledge ontology definition, design knowledge base building, and a multi-views...
Along with the rapid popularity of the Internet, crime information on the web is becoming increasingly rampant, and the majority of them are in the form of text. Because a lot of crime information in documents is described through events, event-based semantic technology can be used to study the patterns and trends of web-oriented crimes. In our research project on cyber crime mining, we construct...
The scope of ontology application is widespread, but even if in the same application field the emphasis points of different applications are different, the ontology which is suitable for some applications, but is not suitable for the other applications, this paper proposes a method of constructing knowledge discovery ontology tree for different applications based on the same ontology, it enhances...
Service discovery is the premise of service composition. The existing service discovery methods only consider individual service functions and static properties, less considering the inherent dependencies between the composite services. The data dependencies between services reveal the logic correlation between the composite services, but it is of great significance for the service composition and...
Agricultural knowledge is broadly distributed on Internet. They are heterogeneous and polymorphism. In this paper, we gave an overview of using ontology in distributed agricultural knowledge management. We proposed the key steps to implement semantic web to management agricultural knowledge. We discussed semantic knowledge retrieval as emphases application of ontology in agricultural knowledge management...
How to construct Web ontologies has become a key technology to enable the Semantic Web, especially constructing ontologies by extracting domain knowledge from database model. However, classical ontologies are limited to crisp concepts and may not be sufficient for handling fuzzy information found in many real-word application domains. Considering the difficulty of generation of fuzzy ontology using...
This paper introduces the basic conceptions of metadata and ontology, analyzes process and relations between them. By employing the semantic logic ability of ontology to the enterprise metadata information system, it indicates ontology dominance in mutual operational of metadata. On the basis of establishing enterprise metadata information resource domain ontology, the author elaborates idea of metadata...
Ontology-based documents classification method is introduced to solve the problem of classifier training and not considering semantic relations between words in traditional Machine Learning algorithms. However, previous work on ontology-based documents classification have some drawbacks on precision and run-time performance. In order to solve these problems, this paper proposes a novel ontology-based...
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