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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 ...
Integrating findings of traditional medicine with modern pharmaceutical research: the potential role of linked open data
(BioMed Central, 2010-12)
One of the biggest obstacles to progress in modern pharmaceutical research is the difficulty of integrating all available research findings into effective therapies for humans. Studies of traditionally used pharmacologically ...
Perk-dependent repression of miR-106b-25 cluster is required for ER stress-induced apoptosis
(2012)
Activation of the unfolded protein response sensor PKR-like endoplasmic reticulum kinase (Perk) attenuates endoplasmic reticulum (ER) stress levels. Conversantly, if the damage is too severe and ER function cannot be ...
LargeRDFBench: A billion triples benchmark for SPARQL endpoint federation
(Elsevier, 2018-01-12)
Gathering information from the distributed Web of Data is commonly carried out by using SPARQL query federation approaches. However, the fitness of current SPARQL query federation approaches for real applications is difficult ...
A Framework for Personalised Learning-Plan Recommendations in Game-Based Learning
(Springer, 2014)
Personalised recommender systems receive growing attention from researchers of technology enhanced learning. The learning domain has a great need for personalisation as there is a general consensus that instructional ...
Semi-Supervised Technical Term Tagging With Minimal User Feedback
(2012)
In this paper, we address the problem of extracting technical terms automatically from an unannotated corpus. We introduce a technology term tagger, that is based on Liblinear Support Vector Machines and employs linguistic ...
Extracting Information for Context-aware Meeting Preparation
(2014)
People working in an office environment suffer from large volumes of
information that they need to manage and access. Frequently, the problem
is due to machines not being able to recognise the many implicit
relationships ...
Evaluation of Technology Term Recognition with Random Indexing
(2014)
In this paper, we propose a method that combines the principles of
automatic term recognition and the distributional hypothesis to identify
technology terms from a corpus of scientific publications. We employ
the ...