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In recent years, there has been explosive growth in the amount of biomedical publications. In this paper, we propose a semantic framework that aims to automatically generate an ontology by extracting assertions and topics from multiple free-text scientific publications in PubMed. The pipeline approach for knowledge discovery and ontology generation in the proposed framework has been implemented on...
The digitization of books can not only provide a electronic way to read but also make it possible to establish information systems via information extraction and correlation. This paper proposed a new approach that build up a traditional Chinese medicine (TCM) diagnosis system by extracting information from textbooks. First of all, we design a semantic ontology which can achieve targeted and precise...
The CHRONIOUS system has been developed based on an open architecture design that consists of a set of subsystems which interact in order to provide all the needed services to the chronic disease patients. An advanced multi-parametric expert system is being implemented that fuses information effectively from various sources using intelligent techniques. Data are collected by sensors of a body network...
Clustering Concept Hierarchies is the most important and basic procedure among the tasks of Ontology Construction to organize the knowledge. This paper proposes a method for concept hierarchies induction based on FCA from a list of concepts. In our method, the feature space is specified to be the attributes of the concept. Thus the feature extraction can be turned into the extraction of attribute...
The unified medical language system (UMLS) offers the possibility to use annotated medical terms for computer aided diagnoses system (CADS). We present a new semantic fusion system, based on UMLS. This fusion system has applications on a CADS that diagnoses neurodegenerative diseases. Since the UMLS Metathesaurus contains a huge amount of data, classification and extraction of the data we use is necessary...
A system is described that automatically categorizes and classifies infectious disease incidence reports by type and geographic location, to aid analysis by domain experts. It identifies references to infectious diseases by using a disease ontology. The system leverages the textual and spatial search capabilities of the STEWARD system to enable queries such as reports on "influenza" near...
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