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Natural Language Processing (NLP) is one of the principal areas of artificial intelligence. It can be argued that the use of ontologies increases the efficiency of natural language processing. However, most ontologies are built manually and require a lot of work. Thus, the problem of automated ontology replenishment is very relevant. One approach is to develop methods for replenishing ontologies using...
Requirements engineering is still a very challenging issue. This is true for most embedded systems and especially for safety-critical ones. A good requirements engineering process is vital for the development of high quality products, but these systems are often highly complex which complicates the respective activities. The use of natural language requirements is common practice, because they are...
Clinical Decision Support Systems assist the physicians to make critical decisions during the diagnosis and treatment of the patients. CDSS envisions an extendable, shareable and reusable knowledge base to generate shareable guidelines and recommendations. Existing systems utilize HL7 standard Arden Syntax MLM and data model vMR schema for shareability and interoperability purpose. Understanding the...
In this paper, we present a new method for the construction of domain ontology from texts in the medical field. In our method, NLP tools are not used since our goal is to reduce the amount of noise and the number of filters applied. This allows us to manage the control of semantic quality of Candidate Terms (CT). The proposed method is based on the technique of semantic annotation for controlled terminology...
As the semantic web is becoming more mature, the need for complex, large, formally described ontologies grows. Developing such ontologies is rather nontrivial and complex task requiring collaboration among knowledge engineers and domain experts. To support ontology sharing we introduce OWLDiff, an OWL 2 ontology comparison/merge tool, its algorithms, implementation details and usage examples. OWLDiff...
Translation constitutes an important part of the process of product or software localization. Unlike translators in the traditional sense, localization translators translate with the aid of the translation memory (TM) tools, which is the core of computer-aided translation technology. Semantic information at word and sentence levels is beneficial to efficient retrieval and higher translation quality...
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