11th September 2014, London, UK
Venue: City University London, Northampton Square Campus, College Building, Room A110, getting there: www.city.ac.uk/visit
CALL FOR PARTICIPATION
André Skupin (San Diego State University, USA)
"Managing Domain Knowledge: Ontology, Visualization, and Beyond" (see abstract below) Presentation
We are pleased to announce the upcoming halfday workshop on Knowledge Maps and Information Retrieval (KMIR), to be held as part of the International Conference on Digital Libraries 2014 - ACM/IEEE Joint Conference on Digital Libraries (JCDL 2014) and International Conference on Theory and Practice of Digital Libraries (TPDL 2014), London, 8th-12th September 2014 (http://www.dl2014.org/).
Abstract: Knowledge maps are promising tools for visualizing the structure of large-scale information spaces, but still far away from being applicable for searching. The workshop aims at bringing together experts in IR and knowledge mapping in order to discuss the potential of interactive knowledge maps for information seeking purposes.
Welcome & Introduction
Managing Domain Knowledge: Ontology, Visualization, and Beyond
André Skupin (San Diego State University, USA)
|2:50-3:30||Block A (Chair: Peter Mutschke)|
Dewey Decimal Classification Based Concept Visualization for Information Retrieval
Jae-Wook Ahn, Xia Lin and Michael Khoo
Creating knowledge maps using Memory Islands
|3:50-4:50||Block B (Chair: Andrea Scharnhorst)|
Using Font Attributes in Knowledge Maps
Richard Brath and Ebad Banissi
Augmenting Citation Chain Aggregation with Article Maps
Creating a Knowledge Map for the Research Lifecycle
How can heat maps of indexing vocabularies be utilized for information seeking purposes?
|5:10-5:50||Block C (Chair: Aida Slavic)|
Towards a Visualization of Multi-faceted Search Results
Introducing a User Interface with an Entity-Strategy-based Approach for Exploring Document Collections
VISFACET: Facet Visualization Module for Modern Library Catalogues
Using Extended Abstract Tasks for Evaluating Visual User-Interfaces
Discussion, Conclusions, Next Steps (Chair: Peter Mutschke)
The success of an information system depends mainly on its ability to properly support interaction between users and information. Current information systems, however, show as a particular point of failure the vagueness between user search terms and the knowledge orders of the information space in question (Mayr et al. 2008, Mutschke et al. 2011). Studies in interactive information seeking behavior have confirmed that the ability to browse an information space and observe similarities and dissimilarities between information objects is crucial for accidental encountering and the creative use of information (Nicholas et al. 2004, Westerman et al. 2005). This is in particular true for heterogeneous information spaces within the open web. Some kind of guided searching therefore becomes more and more important in order to precisely discover information without knowing the right search terms. Yet, this seems to remain the weakest point of interactive information systems (Ford 2000, Foster 2004, Tang 2007).
Knowledge mapping encompasses all attempts to use visualizations to gain insights into the structure and evolution of large-scale information spaces. Knowledge maps can take the form of network visualizations, treemaps or specific, map like arrangements of search results (cf. Börner et al. 2003, Shiffrin/Börner 2004, Börner 2010, Klavans/Boyack 2010, Skupin et al. 2013, Sahal et al. 2013, Boyack/Klavans 2013). As an activity performed in very different disciplines – and often independent from each other – it stands in line with the dominance of the visual in our culture (Manovich 2009). Knowledge maps of digital library collections are promising navigation tools through knowledge spaces but – to the best of our knowledge – still far away from being applicable for searching digital libraries. Most maps are made for special purposes, are static, and usually not interactive (Akdag Salah et al. 2012). In interactive information systems the use of visual elements to enhance information seeking and discovery is a recurring research issue. However, not much of the experiences made in knowledge mapping have ever been implemented in online interfaces to digital libraries and collections (Börner/Chen 2001), nor is there a stable and continuous knowledge exchange between the “map makers” on the one hand and the Information Retrieval (IR) specialists on the other hand. Thus, there is also a lack of models that properly combine insights of the two strands, which are driven by quite different epistemic perspectives.
Our workshop aims at bringing together these two communities: experts in IR reflecting on visual enhanced search interfaces and experts in knowledge mapping reflecting on visualizations of the content of a collection that might also present – visually – a context for a search term. The intention of the workshop is to raise awareness of the potential of interactive knowledge maps for information seeking purposes and to create a common ground for experiments aiming at the incorporation of knowledge maps into IR models at the level of the user interface. The major focus of the workshop is on the question of how knowledge maps can be utilized for scholarly information seeking in large information spaces. Our interests include interactive IR, information seeking behavior, knowledge mapping, science modelling, information visualization, and digital libraries. The workshop is closely related to the COST action KNOWeSCAPE (Analyzing the dynamics of information and knowledge landscapes: http://knowescape.org/) which aims at implementing new navigation and search strategies based on insights of the complex nature of knowledge spaces as well as visualization principles for knowledge maps.
The long-term research goal is to develop and evaluate new approaches for combining knowledge mapping and IR. More specifically, we address questions such as:
The availability of new IR test collections that contain citation and bibliographic information like the iSearch collection (see Lykke et al. 2010) or the ACL collection (Ritchie et al. 2006) could deliver an interesting playground for developing or evaluating combined models of IR and knowledge mapping for scholarly searching.
To support the previously described goals the workshop topics include (but are not limited to) the following:
All submissions must be written in English following the Springer LNCS Author Guidelines (http://www.springer.com/lncs) and should be submitted as PDF files to EasyChair: https://www.easychair.org/conferences/?conf=kmir2014.
All submissions will be reviewed by at least two independent reviewers. At least one author per paper needs to register for the workshop and attend the workshop to present the work. In case of no-show the paper (even if accepted) will be deleted from the proceedings AND from the program.
Workshop proceedings will be deposited online in the CEUR workshop proceedings publication service (ISSN 1613-0073) – This way the proceedings will be permanently available and citable (digital persistent identifiers and long term preservation). All accepted workshop papers will be published in the workshop proceedings and on the DL conference USB stick.
André Skupin (Ph.D., University at Buffalo) is a Professor of Geography at San Diego State University. Areas of interest and expertise include geographic visualization, visual data mining, information visualization, and spatio-temporal modeling. Skupin's work has been strongly interdisciplinary, aimed at increased cross-fertilization between geography, information science, and computer science. It has been published in such diverse outlets as the Proceedings of the National Academy of Sciences, PLoS ONE, the Journal of Informetrics, and Pervasive and Mobile Computing. Aside from developing new methods for analyzing human mobility, demographic change, and environmental sensor data in n-dimensional attribute space, much of his research has addressed the question of how knowledge artifacts can be conceptualized and visualized. His approaches combine natural language processing and intense computation with geographic principles and cartographic techniques and have been applied to varied data sets, ranging from thousands of ICU medical records to tens of thousands of conference abstracts and millions of journal publications. André Skupin has served on the advisory board of the Places & Spaces project (http://scimaps.org/) since its inception, and currently serves on the Board of Directors of the University Consortium for Geographic Information Science (UCGIS).
Title of the keynote: Managing Domain Knowledge: Ontology, Visualization, and Beyond
Abstract: Formal ontologies have become a standard staple of knowledge management, aiming to enumerate domain concepts and their relationships in a parsimonious manner amenable to digital storage and computational inference. This ontological approach is now converging with a long tradition of capturing domain knowledge in so-called Bodies of Knowledge (BoKs), in fields as diverse as project management, civil engineering, or business analysis. However, significant gaps remain when it comes to capturing the concepts and diverse practices of domain communities beyond giving voice to a small number of subject experts, as well as in envisioning the manner in which BoKs and ontologies can be usefully deployed. A team of researchers funded by the U.S. National Science Foundation recently developed a comprehensive approach to how a domain BoK could be conceptualized, collaboratively edited, stored, and visualized. Among the key proposals made is to turn a BoK from a hierarchically organized collection of domain topics into the foundation of an operational knowledge reference system. This in turn allows visualizations of the BoK to act as base maps supporting analytical operations inspired by geographic information systems (GIS). It then becomes possible to express relationships among domain artifacts (e.g., research articles, course syllabi, curricula vitae) and thereby among the actors and activities that produce and consume them, with natural language processing (NLP) playing a central role in operationalizing this vision. The resulting high-dimensional models of domain language can be leveraged within Web services and interactive visualizations, some of which will be featured in this presentation.
DL Conference: Milton Court, Barbican Centre, Silk Street, London, UK
KMIR Workshop: City University London, Northampton Square Campus, College Building, Room A110, getting there: www.city.ac.uk/visit
Akdag Salah, A.A.; Scharnhorst, A.; Ten Bosch, O.; Doorn, P.; Manovich, L.; Salah, A.A.; Chow, J. (2012): Significance of Visual Interfaces in Institutional and User-Generated Databases with Category Structures. Proceedings of the second international ACM workshop on “Personalized access to cultural heritage (PATCH)”. ACM Multimedia Conference, Nara, Japan.
Börner, K.; Chen, C. (2001): Visual interfaces to digital libraries - its past, present, and future. JCDL’01 Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries.
Börner, K.; Chen, C.; Boyack, K. W. (2003): Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179-255.
Börner, K. (2010): The Atlas of Science. MIT Press.
Boyack, K. W.; Klavans, R. (2013, forthcoming): Creation of a highly detailed, dynamic, global model and map of science. Journal of the American Society for Information Science and Technology.
Ford, N. (2000): Cognitive Styles and Virtual Environments. Journal of the American Society for Information Science, 51(6), 543-557.
Foster, A.E. (2004): A Nonlinear Model of Information Seeking Behaviour. Journal of the American Society for Information Science and Technology, 55(3), 228-237.
Klavans, R.; Boyack, K. W. (2010): Toward an objective, reliable, and accurate method for measuring research leadership. Scientometrics, 82(3), 539-553.
Lykke, M.; Larsen, B.; Lund, H.; Ingwersen, P. (2010): “Developing a Test Collection for the Evaluation of Integrated Search.” Advances in Information Retrieval, edited by Gurrin et al., 5993:627-630. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer.
Manovich, L. (2009): How to Follow Global Digital Cultures, or Cultural Analytics for Beginners”. Deep Search: The Politics of Search Beyond Google, edited by Felix Stalder and Konrad Becker, 198- 211 (Wien: Studien Verlag / Transaction Publishers, 2009).
Mayr, P.; Mutschke, P.; Petras, V. (2008): Reducing semantic complexity in distributed digital libraries: Treatment of term vagueness and document re-ranking. Library Review, 57(3), 213-224.
Mutschke, P.; Mayr, P.; Schaer, P.; Sure, Y. (2011): Science models as value-added services for scholarly information systems. In: Scientometrics, 89 (1), S. 349-364.
Nicholas, D. et.al. (2004): Reappraising Information Seeking Behaviour in a Digital Environment: bouncers, checkers, returners, and the like, Journal of Documentation, 60(1), 24-43.
Ritchie, A.; Teufel, S.; Robertson, S. (2006): Creating a Test Collection for Citation-based IR Experiments. Proceedings of the Main Conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 391–398.
Sahal, A.A.; Wyatt, S.; Passi, S.; Scharnhorst, A. (2013): Mapping EINS - An exercise in mapping the Network of Excellence in Internet Science. Conference Proceedings of the First International Conference on Internet Science, Brussels, 75-78.
Skupin, A.; Biberstine, J.R.; Börner, K. (2013): Visualizing the Topical Structure of the Medical Sciences: A Self-Organizing Map Approach. PLoS ONE 8 (3): e58779.
Shiffrin, R.; Börner, Katy (2004): Mapping Knowledge Domains. Proceedings of the National Academy of Sciences of the United States of America, Vol. 101(Suppl. 1).
Tang, M. (2007): Browsing and Searching in a Faceted Information Space: a naturalistic study of PubMed users' interaction with a display tool, Journal of the American Society for Information Science and Technology, 58(13), 1998-2006.
Westerman, S.J.; Collins, J.; Cribbin, T. (2005): Browsing a Document Collection Represented in Two- and Three-dimensional Virtual Information Space, International Journal of Human-Computer Studies, 62(6), 713-736.