Algorithmic information theory
Algorithmic information theory
Tragic loss or good riddance? The impending demise of traditional scholarly journals
International Journal of Human-Computer Studies
An introduction to Kolmogorov complexity and its applications (2nd ed.)
An introduction to Kolmogorov complexity and its applications (2nd ed.)
Meta-Stylesheets for the Conversion of Mathematical Documents into Multiple Forms
Annals of Mathematics and Artificial Intelligence
AHA! The adaptive hypermedia architecture
Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
An Efficient Student Model Based on Student Performance and Metadata
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
A user modeling markup language (userML) for ubiquitous computing
UM'03 Proceedings of the 9th international conference on User modeling
The adaptive web
SWiM - a semantic wiki for mathematical knowledge management
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Pedagogically founded courseware generation for web-based learning: an HTN-planning-based approach implemented in PAIGOS
Gumo: the general user model ontology
UM'05 Proceedings of the 10th international conference on User Modeling
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In the last two decades, the World Wide Web has become the universal information source. Search engines can efficiently serve daily information needs due to the enormous redundancy of relevant resources on the web. For educational and scientific information needs, the web functions much less efficiently: Scientific publishing is built on a culture of unique reference publications, and moreover, documents abound with specialized structures such as technical nomenclature, notational conventions, references, tables, or graphs. Many of these structures are peculiar to specialized communities determined by nationality, research group membership, or adherence to a special school of thought. To keep the much-lamented “digital divide” from becoming a “cultural divide,” we have to make online material more accessible and adaptable to individual users. In this paper, we attack this goal for the field of mathematics where knowledge is abstract, highly structured, and extraordinarily interlinked. Modern, content-based representation formats like OpenMath or content MathML allow us to capture, model, relate, and represent mathematical knowledge object, and thus, make them context-aware and machine-adaptable to the respective user contexts. Building on previous work, which can make mathematical notations adaptable, we employ user modeling techniques to make them adaptive to relieve the reader of configuration tasks. We present a comprehensive framework for adaptive notation management and evaluate it on the proof-of-concept prototype panta rhei.