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Traditional Chinese medicine (TCM) is the study of human physiology and pathology, and the prevention, diagnosis, and treatment of human diseases. The traditional Chinese medicine knowledge system is complex and its structure is huge. Therefore, it faces considerable obstacles in terms of knowledge sharing, exchanging and interfusing. Traditional information retrieval technology has made remarkable...
With the large amounts of information associated with the Initial Public Offering (IPO) process, an intelligent tool is needed for assisting the decision-making activities for both the investors and the underwriters. Even though a large body of related studies exists in extant literature, minimum attention has been devoted to the aspect of understanding hidden semantics within the informative contents...
Qualitative geographic information retrieval (QGIR) is proposed in this paper. It is semantic matching oriented and based on the qualitative representation. Qualitative reasoning is used to get the relevance between documents and queries. Compared to the traditional geographic information retrieval (GIR), QGIR uses qualitative representation for both themes and place names. Semantic spatial relationships...
Evaluating performance is crucial in stability assessments and training as it provides a valuable measure to examine postural control and recommend rehabilitation strategies for improvement. This paper proposes a novel methodology combining self organizing maps and case based reasoning implemented using a relational database management system to access, examine, diagnose and propose recommendations...
In recent years, ontology as a method of knowledge description has been widely used in knowledge engineering, information retrieval and acquisition, knowledge base system and other information sciences. This article introduced ontology into the fields of nutrition, expounded the basic concepts of ontology and knowledge base, and proposed ontology-based knowledge base model for nutritional evaluation...
Most state-of-the-art gazetteers have many limitations when they are utilized as background knowledge in geographic information retrieval (GIR). Considering that people often use place names in GIR instead of geographic coordinates, in this paper, we propose to build a place name ontology (PNO) and implement PNO knowledge base (PNOKB) to take the place of gazetteers. PNO, which is made up of places...
In this paper we propose to report a work on evaluation of a knowledge based application that leads to the constitution of a benchmark such as those that exist in Information Retrieval evaluations. This benchmark enables to perform quantitative evaluation by classic metrics such as precision and recall. We had also conducted a qualitative analysis that helps the elaboration of guidelines and methodological...
In recent years, the combination of case-based reasoning (CBR) and domain knowledge has become a hotspot in CBR field. Different knowledge representation ways bring about different influences of CBR system performance. This paper makes a summarization and an analysis of deficiencies in integration between traditional knowledge representation and CBR, based on which it proposes a scalable case representation...
Domain knowledge-base construction plays an important role in intelligent web structured information processing. The paper provides a basic resource construction technique for semantic web information processing. Firstly it puts forward a Chinese domain knowledge composition model. Then it introduces how to construct special domain knowledge-base. The construction mainly based on database schemas,...
This paper studies the structure and principle of based-CBR personal recommender system according to the characteristics of the method of case-based reasoning (CBR) and the personal recommendation cases. And a lot of design thought and methods in the personal recommender system based on case-based reasoning are discussed. Finally, the composing and function of the major modules of the personal recommender...
Geographical Names are key components of all georeferenced information systems, including GIS applications in many diverse fields of knowledge and services. This paper we focus on building an ontology for gazetteers, the ontology will better support the gazetteers applications, maintenances, and usability. The ontology contains place types, spatial and temporal concepts and their relations. We firstly...
Many real-world information needs are naturally formulated as queries with temporal constraints. However, the structured temporal background information needed to support such constraints is usually not available to information retrieval systems. As an alternative, we automatically compile temporal knowledge bases from Web documents, combining whatever quantitative and qualitative temporal information...
We present a system for browsing news that is based on semantic similarity of documents. News documents get automatically annotated semantically using information extraction. Annotations are displayed to a user who can easily retrieve crosslingual semantically related documents by selecting interesting items.
E-learning aims to deliver individualized, comprehensive, dynamic learning content in real time, aiding the development of communities of knowledge. By incorporating semantic Web technologies, this paper proposes a knowledge portal with underlying distributed learning repositories to effectively support the knowledge process, empowering flexible knowledge acquiring and collecting, knowledge refinement...
To overcome shortcomings that semantic association in traditional model is just dependent on words instead of their relationships, the concept retrieval model based on description logic is introduced in the paper, and extend reasoning algorithm is proposed. And then on the basis of previous work, a concept retrieval system based on description logic is implemented. The experimentation comes to the...
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