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Domain knowledge ontology supports the implementation of intelligent Case Based Reasoning (CBR) systems. Standardized terminologies support efficient indexing and processing of patient data. It is an essential element for the implementation of knowledge-based clinical decision support by exploiting pre-defined semantic relationships, both hierarchical and non-hierarchical in nature. Systemized Nomenclature...
Currently, there are no online websites that can provide mutual translation between Chinese and Tibetan. This paper introduces the online dictionary's functions and the technical route. And then this paper proposes the basic method to build Tibetan-Chinese dictionary which is based on Tibetan semantic ontology. Central to this approach is to build Tibetan semantic ontology with some semantic relationship...
It is very important to know how to save and utilize the content of ontology effectively and efficiently in the practical application of ontology. This article presents one type of agriculture product cultivating standard ontology relation database mode, on the applying background of agricultural product cultivating standardized management system and at the base of analyzing the present ontology storage...
The Chinese-English lexical knowledge base based on HNC is an important component of the HNC knowledge base system. As a new stage of the HNC natural language processing, the building of the knowledge base needs a deep development of the association between the target language and the source language in the concept of space. In this paper, the Chinese-English lexical knowledge base model based on...
Sensor networks are often deployed with the purpose of providing data to large-scale information management and GIS systems, or to collect measurements for specific scientific experiments. The benefits of such use are clear and widely accepted. The reuse of observations in low-cost, lightweight, web applications and mashups is a further compelling use case for sensor networks, but requires provision...
Most healthcare institutions such as hospitals and clinics store their data in the form of databases of various formats. The Health Ontology System that we have developed provides a means to integrate these data with concepts and semantics in the form of a shared cumulative ontology for enabling machines to interpret them. This involves three major software tools, namely, Ontology Generator, Ontology...
Researches show that a reasonable number of projects failed to achieve their desired goals. There could be many different reasons like managing requirements, excessive documentation of code, difficulty to deliver the software with all required functions on time etc. Through proper management of requirements and concept of reusability, an effort could be made to overcome such percentage of failure...
With development of Internet, search engine has been become an important information way for people to obtain information. Every time when a public health emergence happens, tremors demand for timely, accurate answers to spatial queries through the Web, for large numbers of information about this event will be published on the Web. However general information search engine do not support these kind...
Semantic Web applications often rely on the reuse of underlying data from legacy information systems. The motivation for our research is how to make this data accessible for use in such applications. We propose the use of ontologies and conceptual modelling in an overall approach for data interoperability. The approach incorporates a process for ontology alignment using our tool for visual ontology...
Statistical graphs are ubiquitous mechanisms for data visualization such that most, if not all, enterprises communicate information through them. However, many graphs are stored as unstructured images or proprietary binary objects, making them difficult to work with beyond the reports in which they are embedded. While graphs can be mapped to more common XML representations, these lack expressive semantics...
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