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Semantic representation and enrichment of information retrieval experimental data
(Springer Berlin Heidelberg, 2016-05-28)
Experimental evaluation carried out in international large-scale campaigns is a fundamental pillar of the scientific and technological advancement of information retrieval (IR) systems. Such evaluation activities produce ...
Facilitating scientometrics in learning analytics and educational data mining - The LAK dataset
(IOS Press, 2016-11-06)
The Learning Analytics and Knowledge (LAK) Dataset represents an unprecedented corpus which exposes a near complete collection of bibliographic resources for a specific research discipline, namely the connected areas of ...
SPORTAL: Profiling the Content of Public SPARQL Endpoints
(IGI Global, 2016)
Access to hundreds of knowledge bases has been made available on the Web through public SPARQL endpoints. Unfortunately, few endpoints publish descriptions of their content (e.g., using VoID). It is thus unclear how agents ...
A linked data visualiser for finite element biosimulations
(World Scientific Publishing, 2016)
Biosimulation models are used to understand the multiple or different causative factors that cause impairment in human organs. Finite Element Method (FEM) provide a mathematical framework to simulate dynamic biological ...
Soft cardinality constraints on XML data: How exceptions prove the business rule
(Springer Verlag, 2013)
We introduce soft cardinality constraints which need to be satisfied on average only, and thus permit violations in a controlled manner. Starting from a highly expressive but intractable class, we establish a fragment that ...
The finite implication problem for expressive XML keys: Foundations, applications, and performance evaluation
(Springer, 2013)
The increasing popularity of XML for persistent data storage, processing and exchange has triggered the demand for efficient algorithms to manage XML data. Both industry and academia have long since recognized the importance ...
Improved edge detection algorithm for brain tumor segmentation
(Elsevier, 2015-08-21)
Image segmentation is used to separate objects from the background, and thus it has proved to be a powerful tool in bio-medical imaging. In this paper, an Improved Edge Detection algorithm for brain-tumor segmentation is ...
Churn in Social Networks
(Springer, 2010)
Telcom networks, online gaming communities, online communities and discussion forums all have one thing in common: they all can be represented by a network of the social links between people. The links in this social network ...
A case study of collecting dynamic social data: The pro-ana twitter community
(Australian National University, College of Engineering and Computer Science, Department of Computer Science, 2015)
The study of social processes in on-line social media content is a relatively new and rapidly growing endeavour. Many social media platforms provide a public API (Application Programming Interface) which can be used for ...
Learning from Mistakes Results in Increase of Corporate Value
(Kassel University Press GmbH, 2013)
In the paper we approach the issue of learningfrom our mistakes from different schools of thought andwith the use of different epistemological metaphors such asthe intellectual capital. We pose emphasis to the relevance ...