Name
Abstract | ||
|---|---|---|
The Internet has become an important source of information, but it still need improvement for intelligent problem solving. Problem solving oriented knowledge searching in the Internet has much work to do especially the reconstruction of web information. The combination of network and intelligence will bring the knowledge-based application of web information into a new stage. This paper proposes cross study on a novel hybrid method of extracting the objects, attributes, and values from the internet with simulation and automatically building the field basic-elements based on Extenics and Factor space theory with intelligent knowledge management method. We put forward a lot of future research directions on intelligent algorithm of collecting correlative factors and knowledge mining for problem solving. The paper explores theoretical basis and new methods about using the internet to generate the innovative strategy of problem solving and discuss a new generation of problem solving oriented knowledge search engine. (C) 2017 The Authors. Published by Elsevier B.V. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.procs.2017.11.488 | 5TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2017 |
Keywords | Field | DocType |
Information restructure, Extenics, Factor Space, knowledge Mining, Basic-Element | Data science,Knowledge Search,Knowledge mining,Correlative,Computer science,Artificial intelligence,Web information,Machine learning,The Internet | Conference |
Volume | ISSN | Citations |
122 | 1877-0509 | 1 |
PageRank | References | Authors |
0.38 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xingsen Li | 1 | 129 | 19.88 |
| Haitao Liu | 2 | 44 | 8.15 |
| Cheng Chen | 3 | 97 | 32.69 |
| Shouzhen Zeng | 4 | 420 | 21.24 |