• Journal of Intelligence and Information Systems
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• v.17 no.1
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• pp.127-138
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• 2011

The core service of most research portal sites is providing relevant research papers to various researchers that match their research interests. This kind of service may only be effective and easy to use when a user can provide correct and concrete information about a paper such as the title, authors, and keywords. However, unfortunately, most users of this service are not acquainted with concrete bibliographic information. It implies that most users inevitably experience repeated trial and error attempts of keyword-based search. Especially, retrieving a relevant research paper is more difficult when a user is novice in the research domain and does not know appropriate keywords. In this case, a user should perform iterative searches as follows : i) perform an initial search with an arbitrary keyword, ii) acquire related keywords from the retrieved papers, and iii) perform another search again with the acquired keywords. This usage pattern implies that the level of service quality and user satisfaction of a portal site are strongly affected by the level of keyword management and searching mechanism. To overcome this kind of inefficiency, some leading research portal sites adopt the association rule mining-based keyword recommendation service that is similar to the product recommendation of online shopping malls. However, keyword recommendation only based on association analysis has limitation that it can show only a simple and direct relationship between two keywords. In other words, the association analysis itself is unable to present the complex relationships among many keywords in some adjacent research areas. To overcome this limitation, we propose the hybrid approach for establishing association network among keywords used in research papers. The keyword association network can be established by the following phases : i) a set of keywords specified in a certain paper are regarded as co-purchased items, ii) perform association analysis for the keywords and extract frequent patterns of keywords that satisfy predefined thresholds of confidence, support, and lift, and iii) schematize the frequent keyword patterns as a network to show the core keywords of each research area and connecting keywords among two or more research areas. To estimate the practical application of our approach, we performed a simple experiment with 600 keywords. The keywords are extracted from 131 research papers published in five prominent Korean journals in 2009. In the experiment, we used the SAS Enterprise Miner for association analysis and the R software for social network analysis. As the final outcome, we presented a network diagram and a cluster dendrogram for the keyword association network. We summarized the results in Section 4 of this paper. The main contribution of our proposed approach can be found in the following aspects : i) the keyword network can provide an initial roadmap of a research area to researchers who are novice in the domain, ii) a researcher can grasp the distribution of many keywords neighboring to a certain keyword, and iii) researchers can get some idea for converging different research areas by observing connecting keywords in the keyword association network. Further studies should include the following. First, the current version of our approach does not implement a standard meta-dictionary. For practical use, homonyms, synonyms, and multilingual problems should be resolved with a standard meta-dictionary. Additionally, more clear guidelines for clustering research areas and defining core and connecting keywords should be provided. Finally, intensive experiments not only on Korean research papers but also on international papers should be performed in further studies.

• Journal of agricultural medicine and community health
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• v.23 no.2
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• pp.275-285
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• 1998

Antibody responses(IgG) to Paragonimus westermani. Clonorchis sinensis, Cysticercus cellulosae, Sparganum Anisakis simplex, Toxocara canis and Trichinella spiralis were studied. The ELISA technique was performed to determine the prevalence of above helminthic diseases. 975 cases obtained from Yanbian of China during October, 1995 to July, 1997 were examined with a positive antibody titer of 5.74% in clonorchiasis, 4.92% in paragonimiasis, 1.54% in cysticercosis. 8.51% in sparganosis, 1.85% in anisakiosis, 12.51% in toxocariasis, and 7.08% in trichinosis respectively. And 23.87% in showed positive antibody titer at least one of the seven helminths. The differences of the age and sex in the positive sera were analysed by the Chi-squared test and the level of significance accepted was p<0.05. The significant differences in positive antibody production were P.W.(p<0.01). C.S.(p<0.01), A.S.(p<0.05). T.C.(p<0.001), and T.S.(p<0.01) respectively in age groups. sparganosis(p<0.05) in sex groups. Other parasites showed that there were no significant differences among age groups and sex groups(males and females). Higher positive antibody rate of C.S. and P.W. occured in the 50-59 years old and those of T.C. and T.S. happened in the 20-29 years old. Patients of internal disease showed more positive antibody titer, that is to say, there was significant difference between positive rate of internal diseases and that of control (p<0.01. p<0.05) in 6 helminths except cysticercosis. The result showed that some cross reactions existed among nematodes, and the developed techniques(EITB) should be done for a correct diagnosis. Also the prevalence of some important helminths may be evaluated from the result and it would be a basic data for controlling parasitic diseases in Yanbian.