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To achieve the production information management of the coning, drawing and twisting workshops, and promote a good and fast development of the textile enterprise, a multi-agent production monitoring and control system based on C/S mode is developed, through analyzing the actual requirements of the workshops, where the communication of the single-port-multi-protocol and a multi-thread data collection...
It is introduced the development of expert hypermedia system for the diagnosis of children's dermatosis by visual basic and SQL server, and the application of rough set theory, such as the knowledge reduction for the knowledge base in this system, and the methods of positive reasoning and negative reasoning by rough set theory as well. It is greatly improved the reasoning efficiency of this system...
Aggregation of multiple search engines results is an important issue of a metasearch engine. This paper shows that missing documents, those existing in some of the search engines lists but not in the all lists, play an important role in the result aggregation of different search engines. Furthermore, the paper proposes a new approach for dealing with missing documents using OWA operator weights.
Acquisition of domain ontology from database has been of catholic concern. This paper, taking relational schemes as example, analyzes how to identify the information about the structure of relational schemes in legacy systems. Then, it presents twelve extraction rules, which facilitate the obtaining of terms and relations from the relational schemes. Finally, it uses the EER diagram to further obtain...
KDD was applied to the knowledge mining of mechanical structure symmetry design, and a KDD process was established. The models and relational database tables of structure design knowledge and symmetric samples according with KDD technology were set up, and then the technologies of OLAP and associating analysis were applied to obtain bidirectional mapping relationship between structure symmetries and...
For the cost problem of internal machinery manufacturing industry, a structure about decision support system (DSS) for cost control is proposed in this paper, which based on Agent and knowledge warehouse. According to the characteristics of modern cost control, the functional design of DSS focus on cost control in advance, cost control in while, cost analysis and cost reduction aspects. The cost knowledge...
Discovering frequent subtrees from ordered labeled trees is an important research problem in data mining with broad applications in bioinformatics, web log, XML documents and so on. In this paper, A new concept projected node was introduced, and a new algorithm FITPN( Frequent Induced subtrees mining based on Projected Node) was proposed. This algorithm does the work of distinguishing isomorphism...
A Web information extraction system based on label library is proposed for extracting information from data intensive Web pages in this paper. It downloads dynamic Web pages based on a knowledge database, changes them to XML documents after a preprocessing, mines data regions by using MDR repeated patterns discovery algorithm, recognizes their structure and extracts data from them through a novel...
Recommender systems improve access to relevant products and information by making suggestions based on page ranking technology. Existing approaches to learning to rank, however, did not consider the pages in the deep Web which have valuable information. In this paper, we present a novel product recommendation algorithm based on the content of Web pages including the product information and customer...
The Web has been designed for direct human processing, but the next-generation Web, named ??Semantic Web??, aims at machine-processible information. In recent years, only RDFS storage and query are considered because storage and query for other Semantic Web data modeling formalisms, especially OWL, are still an open research issue, and only a very small number of, furthermore incomplete, proposals...
This paper has designed and implemented a deep search engine oriented to the domain of popular science using subject search technique and the deep Web integration technique. It has introduced the system architecture, the subject information gathering strategy as well as the key technologies it used, and our Web page classifier has high accuracy with experimental verification. In the end, system retrieval...
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