Dr. Anjo Anjewierden

Computer scientist

Cubicus B235

Anjo Anjewierden is a computer scientist who started in 2007 as a researcher working on educational data mining at the University of Twente and contributes to the SCY project (http:///www.scy-net.eu). He previously worked at the Human-Computer Studies laboratory at the University of Amsterdam on knowledge acquisition, knowledge-based systems, ontologies, text analysis, and on-line communities. Tool development has been, and still is, a key part of the research. For instance the GUI of SWI-Prolog (http://www.swi-prolog.org), the tOKo text analysis toolkit (http://www.toko-sigmund.org) and Sagbata, a tool for consequence management (http://www.sagbata.net).

Anjo is a keen chess player and spends most of his spare time cycling (about 3000 km per year). He does not have a driving licence. The photo, by Sylvia van Borkulo, was taken when writing the lyrics of a PhD defence song for a colleague.

Research interests

The main focus is on data (and text) analysis, modelling, pattern detection and visualisation. Practically, the research concentrates on the traces users of computer-based environments (for learning, community forums, weblogs) leave behind and developing tools and pedagogical agents to analyse and track user behaviour. One finding, so far, is that these traces of human behaviour are very difficult to predict when one tries to model them.

Selected publications

  • Anjewierden, A., Gijlers, H., Kolloffel, B., Saab, N., & de Hoog, R. (2011). Examining the relation between domain-related communication and collaborative inquiry learning. Computers & Education, 57, 1741-1748.
  • Anjo Anjewierden, Hannie Gijlers, Bas Kolloffel, Nadira Saab and Robert de Hoog. Examining the relation between domain-related communication and collaborative inquiry learning. In “Proceedings International Conference on Computer Supported Collaborative Learning (CSCL)”, Claire O’Malley, Daniel Suthers, Peter Reimann and Angelique Dimitracopoulou (eds.), pp. 123-131, Rhodes, Greece, 2009.
  • Anjo Anjewierden and Hannie Gijlers. An exploration of tool support for categorical coding. In “Proceedings International Conference of the Learning Sciences (ICLS)”, Paul Kirschner, Frans Prins, Vincent Jonker and Gerlof Kanselaar (eds.)., pp. 35-44, Utrecht, The Netherlands, 2008.
  • Aldo de Moor and Anjo Anjewierden. A socio-technical approach for topic community member selection. In “Communities and Technologies 2007”, Charles Steinfeld, Brian T. Pentland, Mark Akkerman, Noshir Contractor (eds.), pp. 225–244, Springer, 2007.
  • Anjo Anjewierden and Lilia Efimova. Understanding weblog communities through digital traces: a framework, a tool and an example. In “International Workshop on Community Informatics (COMINF 2006)”, Robert Meersman, Zahir Tari, and Pilar Herrero (eds.), pp. 279–289, LNCS 4277, Springer, Montpellier, 2006 (November).
  • Anjo Anjewierden, Rogier Brussee and Lilia Efimova. Shared conceptualisations in weblogs, in ”BlogTalks 2.0: The European Conference on Weblogs”, Thomas N. Burg (ed.), Danube, University of Krems, 110–138, 2005.
  • Anjo Anjewierden, Robert de Hoog, Rogier Brussee and Lilia Efimova. Detecting knowledge flows in weblogs, Common Semantics for Sharing Knowledge: Contributions to 13th International Conference on Conceptual Structures (ICCS 2005), Frithjof Dau, Marie-Laure Mugnier and Gerd Stumme (eds.), pp. 1-12, Kassel University Press, Kassel, Germany, 2005 (July).
  • Suzanne Kabel, Robert de Hoog, Bob J. Wielinga and Anjo Anjewierden. The added value of task and ontology based mark-up for information retrieval. Journal of the American Society for Information Science and Technology, 55(4), 348–362, 2004.
  • Anjo Anjewierden, Irina Shostak and Robert de Hoog. KMsim: A meta-modelling approach and environment for creating process-oriented knowledge management simulations. In “Knowledge Engineering and Knowledge Management”, Asunción Gómez Perez and V. Richard Benjamins (eds.), pp. 65-79, Sigüenza, 2002 (October). Springer, LNAI 2473.
  • Anjo Anjewierden. AIDAS: Incremental logical structure discovery in PDF documents. In “6th International Conference on Document Analysis and Recognition (ICDAR)”, pp. 374–378, Seattle, 2001 (September).
  • Guus Schreiber, Hans Akkermans, Anjo Anjewierden, Robert de Hoog, Nigel Shadbolt, Walter Van de Velde and Bob J. Wielinga. Knowledge engineering and management: The CommonKADS methodology, MIT Press, Cambridge, Massachusetts, 1999.
  • Anjo Anjewierden, Jan Wielemaker and Catherine Toussaint. Shelley—computer-aided knowledge engineering. Knowledge Acquisition, vol. 4, pp. 109–125, 1992.