Based on the characteristics of geographical prospecting data of hazards, this content discusses the design of the data-interpreting expert system for hazard, gives the calculation procedure of mechanism and the construction. In the process of design, constructing complete knowledge base and based on the production rule, vogue inference is realized. A combination is also made between inference process and interpretive mechanism, to increase the operation efficiency of the system, putting the system in better way for communication and interaction with the user. Research results show that this system can effectively integrate expert knowledge, reasonably configure data resource and enhance the reliability of interpretive achievement of hazardous data.
The impact factor of journal provides quantitative assessment tool for grading, evaluating, sorting and comparing journals of similar kind. It reflects the average number of citations to recent articles published in science and social science journals in a particular year or period, and is frequently used as a proxy for the relative importance of a journal within its field. It is first devised by Eugene Garfield, the founder of the Institute for Scientific Information. The impact factor of a journal is evaluated by dividing the number of current year citations to the source items published in that journal during the previous two years.
Last date updated on September, 2014