Abstract Information Extraction (IE) is a subfield of Natural Language Processing, valuable in many applications like Question Answering and Summarization. The information extraction aims to analyze texts written in natural language to extract useful information such as named entities and semantic relation between them. Several domains were affected by bioinformatics, Customer Care, Community Websites, Personal information management and so on. This paper focuses only... Information Extraction (IE) is a subfield of Natural Language Processing, valuable in many applications like Question Answering and Summarization. The information extraction aims to analyze texts written in natural language to extract useful information such as named entities and semantic relation between them. Several domains were affected by bioinformatics, Customer Care, Community Websites, Personal information management and so on. This paper focuses only on Information Extraction in the medical domain. Read More Read Less

Abstract In order to solve the problem of semantic query based on civil aviation emergency domain ontology (CAEDO), a method of semantic query expansion is proposed considering the taxonomic and non-taxonomic relationships in the domain ontology comprehensively. In this method, the calculation of semantic similarity is improved based on the distance and semantic sharing degree for the taxonomic relationships, and the calculation of semantic... In order to solve the problem of semantic query based on civil aviation emergency domain ontology (CAEDO), a method of semantic query expansion is proposed considering the taxonomic and non-taxonomic relationships in the domain ontology comprehensively. In this method, the calculation of semantic similarity is improved based on the distance and semantic sharing degree for the taxonomic relationships, and the calculation of semantic relevancy on the basis of object properties is proposed for the non-taxonomic relationships. Furthermore, the feasibility of the method is verified by some experiments. The experimental results show that compared with the traditional method, the precision and recall are improved. Moreover, a methodological support is provided for semantic retrieval and generation of rescue plan based on CAEDO. Read More Read Less

Abstract In groups or research centers develop various types of projects, including research projects, which constitute the input and output thereof. Although stakeholders put their efforts to develop such projects often encounter difficulties in implementing the work plan of the research. The purpose of this article is to propose a model of information system that supports the management of research projects, and that allows... In groups or research centers develop various types of projects, including research projects, which constitute the input and output thereof. Although stakeholders put their efforts to develop such projects often encounter difficulties in implementing the work plan of the research. The purpose of this article is to propose a model of information system that supports the management of research projects, and that allows for an improvement in the process. For this we conducted a systematic review of the literature, we applied a measuring instrument, and the system was modeled using the model-driven architecture Read More Read Less