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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wenhua Zeng Jian Zhang Haifang Wei |
| Copyright Year | 2012 |
| Abstract | With the rapid update of internet hardware and software, especially the rise of mobile internet and cloud computing platforms, web-based sites has become the world's largest source of information, and so how to extract the accurate domain-specific knowledge, how to improve the extraction efficiency and how to save the cost during information harvest have become the hot research spot. With the advantage of the theories and techniques of software architecture, the paper presents a web knowledge discovery model based on SOA and cloud computing, through which valid information can be obtained in an automatic or semi-automatic way from the distributed information sources environment. A unique web information extraction system built base on the architecture and the verification results were given in the final chapter. |
| Starting Page | 1370 |
| Ending Page | 1373 |
| File Size | 316302 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467307215 |
| e-ISBN | 9780769547190 |
| DOI | 10.1109/CSSS.2012.345 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-11 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cloud computing SOA Unified modeling language UML Service oriented architecture Computer architecture Information retrieval Knowledge discovery Web information extraction Data mining |
| Content Type | Text |
| Resource Type | Article |
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