Browsing Data Science Institute (Scholarly Articles) by Title
Now showing items 25-44 of 79
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Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models
(Oxford University Press (OUP), 2017-08-18)Timely identification of adverse drug reactions (ADRs) is highly important in the domains of public health and pharmacology. Early discovery of potential ADRs can limit their effect on patient lives and also make drug ... -
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 ... -
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 ... -
A Formal Investigation of Semantic Interoperability of HCLS Systems
(IGI Global, 2013-06)Semantic interoperability facilitates Health Care and Life Sciences (HCLS) systems in connecting stakeholders at various levels as well as ensuring seamless use of healthcare resources. Their scope ranges from local to ... -
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 ... -
GenomeSnip: Fragmenting the Genomic Wheel to augment discovery in cancer research
(ISCB, 2014-02-28)Cancer genomics researchers have greatly benefited from high-throughput technologies for the characterization of genomic alterations in patients. These voluminous genomics datasets when supplemented with the appropriate ... -
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 ... -
Improving data workflow systems with cloud services and use of open data for bioinformatics research
(Oxford University Press, 2017-04-16)Data workflow systems (DWFSs) enable bioinformatics researchers to combine components for data access and data analytics, and to share the final data analytics approach with their collaborators. Increasingly, such systems ... -
Infrastructure for Dynamic Knowledge Integration -- Automated Biomedical Ontology Extension Using Textual Resources
(Elsevier, 2008)We present a novel ontology integration technique that explicitly takes the dynamics and data-intensiveness of e-health and biomedicine application domains into account. Changing and growing knowledge, possibly contained ... -
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 ... -
Intent classification by the use of automatically generated knowledge graphs
(MDPI, 2023-05-12)Intent classification is an essential task for goal-oriented dialogue systems for automatically identifying customers¿ goals. Although intent classification performs well in general settings, domain-specific user goals can ... -
Interlinking Developer Identities Within and Across Open Source Projects: The Linked Data Approach
(2013)[no abstract available] -
Knowledge graph driven approach to represent video streams for spatiotemporal event pattern matching in complex event processing
(World Scientific Publishing, 2020)Complex Event Processing (CEP) is an event processing paradigm to perform real-time analytics over streaming data and match high-level event patterns. Presently, CEP is limited to process structured data stream. Video ... -
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 ... -
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 ... -
Lessons learnt from the Named Entity rEcognition and Linking (NEEL) challenge series
(2017-03-13)The large number of tweets generated daily is providing policy makers with means to obtain insights into recent events around the globe in near real-time. The main barrier for extracting such insights is the impossibility ... -
Linked Data Driven Information Systems as an enabler for Integrating Financial Data
(IGI Global, 2011)With increased dependence on efficient use and inclusion of diverse corporate and Web based data sources for business information analysis, financial information providers will increasingly need agile information ... -
Linked Data Driven Information Systems as an Enabler for Integrating Financial Data
(IGI Global, 2012)With increased dependence on efficient use and inclusion of diverse corporate and Web based data sources for business information analysis, financial information providers will increasingly need agile information integration ... -
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 ... -
MixedEmotions: An open-source toolbox for multi-modal emotion analysis
(IEEE, 2018-01-25)Recently, there is an increasing tendency to embed the functionality of recognizing emotions from the user generated contents, to infer richer profile about the users or contents, that can be used for various automated ...