Visualizing Bibliographic Databases as Graphs and Mining Potential Research Synergies (original) (raw)
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Bibliographic databases are a prosperous field for data mining research and social network analysis. They contain rich information, which can be analysed across different dimensions (eg, author, year, venue, and topic) and can be exploited in multiple ways. The representation and visualisation of bibliographic databases as graphs and the application of data mining techniques can help us uncover interesting knowledge concerning potential synergies between researchers, possible matchings between researchers and venues, ...
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Extracting information from very large collections of structured, semistructured or even unstructured data can be a considerable challenge when much of the hidden information is implicit within relationships among entities in the data. Social networks are such data collections in which relationships play a vital role in the knowledge these networks can convey. A bibliographic database is an essential tool for the research community, yet finding and making use of relationships comprised within such a social network is difficult. In this paper we introduce DBconnect, a prototype that exploits the social network coded within the DBLP database by drawing on a new random walk approach to reveal interesting knowledge about the research community and even recommend collaborations. ⋆ This work is based on an earlier work: DBconnect: mining research community on DBLP data, in Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis, COPYRIGHT ACM, 2007,
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Traditional searching and browsing functions for bibliographic databases do no longer enable users to deal efficiently with the rapidly growing number of scientific publications. We propose to visualize contents-based relations among documents such as cites, succeeds, improves with respect to, and to use them for more effective exploration. In addition, we encourage users to attach annotations that may be either private or public to documents or to pairs of related documents. The aggregation of public annotations contributed by expert users represents insight into the area that exceeds the knowledge that is represented in the documents themselves. In this paper we report on the status of our project BibRelEx, and invite discussion about its future goals.