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With the rapid growth of knowledge bases (KBs), how to take full advantage of structured knowledge infomation becomes increasingly important. Knowledge base-based question answering (KB-QA) is one of the most promising approaches to access the substantial knowledge. Meantime, as the neural network-based (NN-based) methods develop, NN-based KB-QA has already achieved impressive results. However, previous...
With the continuous development of the Internet, the volume of data is soaring sharply, the question answering system plays an increasingly important role in our lives. The current question answering system knowledge base is mainly constructed manually, costing a lot of manpower and material resources, hindering the expansion of application of question answering system from a single field to the whole...
It has become an era where everything is on the web with ever more chances of data utilization on the web. Still, there are obstacles to make the use of the web efficiently. With too much information, Internet users have often come across information that are not relevant for their use. On top of that, until recently, most of web content have not contained semantic information, posing difficulties...
Because of the complexity and incompletion of medical data, as well as the rough set can be well to deal with fuzzy and uncertain information, a knowledge discovery model is presented for lifestyle diseases based on rough set theory. As the problem that single attribute dependency is difficult to distinguish, an improved heuristic algorithm is presented for attribute reduction based on the core attribute...
Reliability of the Fuzzy Association Rules (FARs) extraction is a challenging research in knowledge discovery and data mining. Reliability refers to the trade-off between the prediction accuracy and the rules diversity. In this paper, an approach called Diverse Fuzzy Rule Base (DFRB) is proposed to extract the FARs which are used later to predict the future values. This approach also aims to ensure...
Every research field (domain) has a lot of data or information in textual format. The main problem is how to optimally arrange and transform the textual data or information to explore research issues. The authors propose a framework that may help in exploration of research issues from text of specific field (domain). First textual data or information is transformed to semantic network by using some...
Fixture design is a complex and intelligent process, which demands professional knowledge and experience from the exports and designer. For a given work piece, the design solution space is large. With the development of artificial intelligence, there are increasingly methods to solve the problem of selection of optimal fixture design scheme, such as CBE. In the paper, the intelligent algorithms of...
This paper introduced the basic concept and characteristics of the rough set theories, and with an example the theories are used as form models for producing knowledge base and processing the decision result of each knowledge base, thereby enhancing the reliability and accuracy of the results in decision-making.
Knowledge in knowledge bases have two categories: complete and incomplete. In this paper, through uniformly expressing these two kinds of knowledge, we first address four operators on a knowledge base, which are adequate for generating new knowledge through using known knowledge. Then, we establish the relationship between knowledge and knowledge granulation. These results will be very helpful for...
We consider a digital business ecosystem environment where SMEs cooperate and compete. We aim to provide to each SME and the ecosystem with knowledge management mechanisms to support their needs for information, service findings and recommendations. We present the design and implementation of a platform that supports the knowledge management needs in this environment. We describe the business related...
Knowledge-based engineering (KBE) and simulation analysis have been used widely in multidisciplinary concurrent and collaborative design process. However, the acquisition of knowledge keeps bottleneck yet in building knowledge base in KBE. In this paper, a framework of knowledge discovery from multidisciplinary simulation data is proposed. Correspondingly, a data mining algorithm named fuzzy-rough...
The overall performance of a complex product generally depends on a number of specifications distributed in multi-teams from different disciplines. Multidisciplinary simulation analysis has been used widely in multidisciplinary design process. However, the knowledge discovery keeps bottleneck yet in building knowledge base for multidisciplinary design. In this paper, firstly, a framework of knowledge...
To solve the limitations of intelligent fault diagnosis system, a new intelligent fault diagnosis method based on data mining is presented. After a brief discussion of the general structure of intelligent fault diagnosis system based on data mining (IFDSDM), the function of its subsystem is described, followed with the structure of knowledge base and the method of knowledge representation. IFDSDM...
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