Patrick Reuther

Analysing social networks within bibliographical data

Finding relationships between authors and thematic similar publications is getting harder and harder due to the mass of information and the rapid growth of the number of scientific workers. The io-port.net portal and the DBLP Computer Science Bibliography including more than 2,000,000 and 750,000 publications, respectively, from more than 450,000 authors are major services used by thousands of computer scientists which provides fundamental support for scientists searching for publications or other scientists in similar communities. In this paper, we describe a user–friendly interface which plays the central role in searching authors and publications and analysing social networks on the basis of bibliographical data. After introducing the concept of multi-mode social networks, the DBL–Browser itself and various methods for multi-layered browsing through social networks are described.

Survey on test collections and techniques for personal name matching

This paper gives an overview of personal name matching. Personal name matching is of great importance for all applications that deal with personal names. The problem with personal names is that they are not unique and sometimes even for one name many variations exist. This leads to the fact that databases on the one hand may have several entries for one and the same person and on the other hand have one entry for many different persons. For the evaluation of personal name matching algorithms, test collections are of great importance. This paper gives an overview of existing test collections and presents two new test collections based on real-world bibliographic data. Additionally, state-of-the art techniques and a new approach based on semantics are also described.

Managing the quality of person names in DBLP

Quality management is, not only for digital libraries, an important task in which many dimensions and different aspects have to be considered. The following paper gives a short overview on DBLP in which the data acquisition and maintenance process underlying DBLP is discussed from a quality point of view. The paper finishes with a new approach to identify erroneous person names.

Browsing and visualizing digital bibliographic data

Access to publications is provided by conventional libraries, digital libraries operated by learned societies or commercial publishers, and a huge number of web sites maintained by the scientists themselves or their institutions. But comprehensive meta-indices in combination with a helpful graphical user interface for this increasing number of information sources are missing for most areas of science. Our DBLP (Digital Bibliography & Library Project) Computer Science Bibliography is a major service used by thousands of computer scientists. It provides fundamental support for scientists searching for publications or other scientists in similar communities. For better assistance we developed a new browser prototype which has a user-friendly interface and plays a central role in the search and browsing of the data. The DBL-Browser provides smart search functions and several textual and graphical visualization models. This paper gives an overview of some important research issues within the field of bibliographical information retrieval and visualization. After introducing the whole framework, the DBL-Browser itself and various visualization models are described.

Multi-Layered browsing and visualisation for digital libraries

For a scientific researcher it is more and more vital to find relevant publications with their correct bibliographical data, not only for accurate citations but particularly for getting further information about their current research topic. This paper describes a new approach to develop user-friendly interfaces: Multi-Layered-Browsing. Two example applications are introduced that play a central role in searching, browsing and visualising bibliographical data.

Bibliographical meta search engine for the retrieval of scientific articles

The University of Trier maintains the DBLP (Digital Bibliography & Library Project) Computer Science Bibliography which offers bibliographic information about more than 870.000 scientific publications. This paper describes the DBLP WebCrawler, a meta search engine that is able to search for full text publications in PDF format for each DBLP entry on the web. Various search engines such as Google and Yahoo are used as data sources. The retrieved documents are additionally analysed and ranked according to their relevance. The proposed system differs from systems like CiteSeer in so far, that the DBLP Webcrawler builds upon metadata and tries to find relevant full-texts whereas Cite-Seer mainly starts with full-texts and extracts metadata.

Assessing quality dynamics in unsupervised metadata extraction for digital libraries

Current research in large-scale information management systems is focused on unsupervised methods and techniques for information processing. Such approaches support scalability in regard to present-day exponential growth in information processing needs. In this paper we focus on the problem of automated quality evaluation of a completely unsupervised metadata extraction process in the Digital Libraries domain. In particular, we investigate resulting metadata quality applying specific extraction methodology for scientific documents. We propose and discuss precise quality metrics and measure the dynamics of such quality metrics as a function of the extracted information from the repository and size of the repository.