• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.63-77
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• 2011

The World Wide Web is a very large distributed digital information space. From its origins in 1991, the web has grown to encompass diverse information resources as personal home pasges, online digital libraries and virtual museums. Some estimates suggest that the web currently includes over 500 billion pages in the deep web. The ability to search and retrieve information from the web efficiently and effectively is an enabling technology for realizing its full potential. With powerful workstations and parallel processing technology, efficiency is not a bottleneck. In fact, some existing search tools sift through gigabyte.syze precompiled web indexes in a fraction of a second. But retrieval effectiveness is a different matter. Current search tools retrieve too many documents, of which only a small fraction are relevant to the user query. Furthermore, the most relevant documents do not nessarily appear at the top of the query output order. Also, current search tools can not retrieve the documents related with retrieved document from gigantic amount of documents. The most important problem for lots of current searching systems is to increase the quality of search. It means to provide related documents or decrease the number of unrelated documents as low as possible in the results of search. For this problem, CiteSeer proposed the ACI (Autonomous Citation Indexing) of the articles on the World Wide Web. A "citation index" indexes the links between articles that researchers make when they cite other articles. Citation indexes are very useful for a number of purposes, including literature search and analysis of the academic literature. For details of this work, references contained in academic articles are used to give credit to previous work in the literature and provide a link between the "citing" and "cited" articles. A citation index indexes the citations that an article makes, linking the articleswith the cited works. Citation indexes were originally designed mainly for information retrieval. The citation links allow navigating the literature in unique ways. Papers can be located independent of language, and words in thetitle, keywords or document. A citation index allows navigation backward in time (the list of cited articles) and forwardin time (which subsequent articles cite the current article?) But CiteSeer can not indexes the links between articles that researchers doesn't make. Because it indexes the links between articles that only researchers make when they cite other articles. Also, CiteSeer is not easy to scalability. Because CiteSeer can not indexes the links between articles that researchers doesn't make. All these problems make us orient for designing more effective search system. This paper shows a method that extracts subject and predicate per each sentence in documents. A document will be changed into the tabular form that extracted predicate checked value of possible subject and object. We make a hierarchical graph of a document using the table and then integrate graphs of documents. The graph of entire documents calculates the area of document as compared with integrated documents. We mark relation among the documents as compared with the area of documents. Also it proposes a method for structural integration of documents that retrieves documents from the graph. It makes that the user can find information easier. We compared the performance of the proposed approaches with lucene search engine using the formulas for ranking. As a result, the F.measure is about 60% and it is better as about 15%.

• Journal of the Korean earth science society
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• v.35 no.7
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• pp.562-571
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• 2014

In the celebration of the $50^{th}$ anniversary of the Korean Earth Science Society, the whole articles published in Journal of the Korean Earth Science Society (JKESS) were quantitatively analyzed. JKESS has played a major role in exchanging academically among earth science education specialists and in educating next generation for the last 36 years since it was founded in 1979. The total number of 1544 articles in thirty five volumes about the earth sciences and the earth science pedagogy has been published by August, 2014, and the number of the yearly published articles has been increasing. Regarding the research area, 69.3% was published in earth sciences and the other 30.7% was in earth science education; the percentage of research articles in geology, atmospheric science, environmental science, oceanography, and astronomy was 55.2, 17.6, 16.0, 6.0, and 5.2%, respectively. The number of research articles on atmospheric science and environmental science has recently been increasing, whereas, earth science education research articles have been" decreasing, which was similar to the pattern seen fifteen years ago. We thought that one of the reasons was related to a new journal named, "Journal of the Korean Society of Earth Science Education" started to publish in December, 2008. The number of articles authored or co-authored with foreigner scholars was totaled 53, which is only 3.4% of the entire number of published articles. It suggests that international advertisement via public relations as well as the development of English homepage be necessary. In order to become an excellent registered academic journal, it is the time to comprehensively discuss how to improve both the quality growth and the quantity of JKESS. According to the Ministry of Education, it is now in its planning stage to convert the current registration system of the academic journals to the autonomous evaluation system in academia. Therefore, we recommend that Journal of the Korean Earth Science Society be prepared for the upcoming future change.