User Interests in German Social Science Literature Search: A Large Scale Log Analysis

The social sciences are a broad research field with a lot of sub- and related disciplines. Accordingly, user interests in a digital library for the social sciences are manifold. In this study we analyzed nine years log data of a social science digital library to get an overview of the fields, categories, topics and detailed information needs users are interested in. Based on the log data we have built interactive visualizations which give an overview and concurrently let us look at the detailed interests of users. The underlying log data and the created visualizations are then used to analyze user interests at different hierarchical levels and on a temporal view. The results show that there are topical interests of the users in specific fields and topics of the social sciences but at the same time there exists a diversity of different information needs. Based on these findings we analyze in detail the gap between the indexing language of the system used to annotate documents and the language users apply to articulate their information needs.

[1]  Diane Kelly,et al.  The effects of topic familiarity on information search behavior , 2002, JCDL '02.

[2]  Najafi Azadeh,et al.  REAL LIFE, REAL USERS AND REAL NEEDS: A STUDY AND ANALYSIS OF USER QUERIES ON THE WEB , 2008 .

[3]  H.P.Hogeweg-de Haart,et al.  Characteristics of social science information: A selective review of the literature. Part I , 1983 .

[4]  Charles Cole,et al.  User search behavior of domain-specific information retrieval systems: An analysis of the query logs from PsycINFO and ABC-Clio's Historical Abstracts/America: History and Life , 2006, J. Assoc. Inf. Sci. Technol..

[5]  Sally Jo Cunningham,et al.  Search Behavior in a Research-Oriented Digital Library , 2001, ECDL.

[6]  David Ellis,et al.  A Comparison of the Information seeking Patterns of researchers in the Physical and Social Sciences , 1993, J. Documentation.

[7]  Andrew Large,et al.  User search behavior of domain-specific information retrieval systems: An analysis of the query logs from PsycINFO and ABC-Clio's Historical Abstracts-America: History and Life: Research Articles , 2006 .

[8]  Maurice B. Line,et al.  The structure of social science literature as shown by a large-scale citation analysis , 1981 .

[9]  Daniel Hienert,et al.  A Usefulness-based Approach for Measuring the Local and Global Effect of IIR Services , 2016, CHIIR.

[10]  Philipp Mayr,et al.  Improving Retrieval Results with Discipline-Specific Query Expansion , 2012, TPDL.

[11]  Barbara M. Wildemuth,et al.  The effects of domain knowledge on search tactic formulation , 2004, J. Assoc. Inf. Sci. Technol..

[12]  Giorgio Maria Di Nunzio,et al.  Web log analysis: a review of a decade of studies about information acquisition, inspection and interpretation of user interaction , 2011, Data Mining and Knowledge Discovery.

[13]  Philip M. Davis,et al.  An IP-level analysis of usage statistics for electronic journals in chemistry: Making inferences about user behavior , 2003, J. Assoc. Inf. Sci. Technol..

[14]  Philip M. Davis Information-seeking behavior of chemists: A transaction log analysis of referral URLs , 2004, J. Assoc. Inf. Sci. Technol..

[15]  Philipp Mayr,et al.  Cross-concordances: terminology mapping and its effectiveness for information retrieval , 2008, ArXiv.

[16]  Zhiyong Lu,et al.  Understanding PubMed® user search behavior through log analysis , 2009, Database J. Biol. Databases Curation.

[17]  Susan T. Dumais,et al.  The vocabulary problem in human-system communication , 1987, CACM.

[18]  Tom Peters,et al.  The history and development of transaction log analysis , 1993 .

[19]  H. P. Hogeweg-de Haart Characteristics of social science information : a selected review of the literature , 1981 .

[20]  Philipp Mayr,et al.  Digital Library Research in Action: Supporting Information Retrieval in Sowiport , 2015, D Lib Mag..

[21]  José A. Senso,et al.  The Use of OPAC in a Large Academic Library: A Transactional Log Analysis Study of Subject Searching. , 2007 .

[22]  Maurice B. Line,et al.  Social Science Information - The Poor Relation , 2000 .

[23]  Ryen W. White,et al.  Characterizing the influence of domain expertise on web search behavior , 2009, WSDM '09.

[24]  Sally Jo Cunningham,et al.  A transaction log analysis of a digital library , 2000, International Journal on Digital Libraries.

[25]  David Nicholas,et al.  Assessing used content across five digital health information services using transaction log files , 2003, J. Inf. Sci..

[26]  Lokman I. Meho,et al.  Modeling the information-seeking behavior of social scientists: Ellis's study revisited , 2003, J. Assoc. Inf. Sci. Technol..

[27]  Amanda Spink,et al.  Real life, real users, and real needs: a study and analysis of user queries on the web , 2000, Inf. Process. Manag..

[28]  Diane Kelly,et al.  Methods for Evaluating Interactive Information Retrieval Systems with Users , 2009, Found. Trends Inf. Retr..

[29]  Bernard J. Jansen,et al.  Search log analysis: What it is, what's been done, how to do it , 2006 .

[30]  B. Vickery,et al.  SOCIAL SCIENCE LITERATURE USE IN THE UK AS INDICATED BY CITATIONS , 1969 .

[31]  Daniel M. Stein,et al.  An analysis of clinical queries in an electronic health record search utility , 2010, Int. J. Medical Informatics.

[32]  Hao-Ren Ke,et al.  Exploring behavior of E-journal users in science and technology: Transaction log analysis of Elsevier's ScienceDirect OnSite in Taiwan , 2002 .

[33]  Philipp Mayr,et al.  Crosskonkordanzen: Terminologie Mapping und deren Effektivität für das Information Retrieval , 2008 .