Browsing Data Science Institute (Scholarly Articles) by Title
Now showing items 16-35 of 79
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A comparison of emotion annotation approaches for text
(MDPI, 2018-05-11)While the recognition of positive/negative sentiment in text is an established task with many standard data sets and well developed methodologies, the recognition of a more nuanced affect has received less attention: there ... -
A decade of Semantic Web research through the lenses of a mixed methods approach
(IOS Press, 2019-06-20)The identification of research topics and trends is an important scientometric activity, as it can help guide the direction of future research. In the Semantic Web area, initially topic and trend detection was primarily ... -
Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case
(2014)[no abstract available] -
Discovering protein drug targets using knowledge graph embeddings
(Oxford University Press, 2019-08-01)Motivation Computational approaches for predicting drug-target interactions (DTIs) can provide valuable insights into the drug mechanism of action. DTI predictions can help to quickly identify new promising (on-target) ... -
Embedding non-ground logic programs into autoepistemic logic for knowledge base combination
(2011)In the context of the Semantic Web, several approaches to the combination of ontologies, given in terms of theories of classical first-order logic and rule bases, have been proposed. They either cast rules into classical ... -
Establishing a distributed system for the simple representation and integration of diverse scientific assertions
(Biomed Central, 2011)Information technology has the potential to increase the pace of scientific progress by helping researchers in formulating, publishing and finding information. There are numerous projects that employ ontologies and Semantic ... -
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 ... -
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 ... -
Eye of the Tiger
(2009) -
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 ...