Browsing Data Science Institute (Conference Papers) by Title
Now showing items 51-70 of 307
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Defying Wikidata: Validation of terminological relations in the web of data
(National University of Ireland Galway, 2020-05-16)In this paper we present an approach to validate terminological data retrieved from open encyclopaedic knowledge bases. This need arises from the enrichment of automatically extracted terms with information from existing ... -
Demonstrating a linked data platform for finite element biosimulations of cochlear mechanics
(CEUR-WS.org, 2015-10-11)Biosimulations employ Finite Element Method (FEM) to simulate complex biological systems in order to understand different aspects of human organs. The applications of FEM biosimulations range from human ear cochlear mechanics, ... -
Demonstrating a linked data visualiser for finite element biosimulations
(IEEE, 2016-02-04)Healthcare experts have recently turned towards the use of Biosimulation models to understand the multiple or different causative factors that cause impairment in human organs. The applications of biosimulations have been ... -
Detecting bot behaviour in social media using digital DNA compression
(AICS (Artificial Intelligence and Cognitive Science) 2019, 2019-12-05)A major challenge faced by online social networks such as Facebook and Twitter is the remarkable rise of fake and automated bot accounts over the last few years. Some of these accounts have been reported to engage in ... -
Detecting inner-ear anatomical and clinical datasets in the linked open data (LOD) cloud
(CEUR-WS.org, 2015-10-15)Linked Open Data (LOD) Cloud is a mesh of open datasets coming from different domains. Among these datasets, a notable amount of datasets belong to the life sciences domain linked together forming an interlinked “Life ... -
Developing a Dataset for Technology Structure Mining
(IEEE, 2010)This paper describes steps that have been taken to construct a development dataset for the task of Technology Structure Mining. We have defined the proposed task as the process of mapping a scientific corpus into a ... -
The Development of A Realistic Simulation Framework with OMNeT++
(IEEE, 2008)It is necessary to use simulation tools in the study of wireless network. The object-oriented modular discrete event network simulator, OMNeT++, can not only afford many network simulation but has strong GUI support and ... -
Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case
(2014)A significant portion of the LOD cloud consists of Life Sciences data sets. The LOD cloud contains billions of clinical facts linked together forming an interlinked Web of Clinical Data . However, tools for new publishers ... -
Discovery of Optimized Web Service Configurations Using a Hybrid Semantic and Statistical Approach
(IEEE, 2009)We present a Semantic Optimized Service Discovery (Se- mOSD) approach capable of handling Web service search requests on a fine-grained level of detail where we augment semantic service descriptions with statistically built ... -
Do city dashboards make sense? Conceptualising user experiences and challenges in using city dashboards. A case study
(Association for Computing Machinery (ACM), 2021-06-09)City dashboards present information about a city to a broad audience with some thought given as to how some of these audiences might understand the information. However, little research has looked at how ’citizens’ make ... -
Domain-independent term extraction through domain modelling
(10th International Conference on Terminology and Artificial Intelligence, 2013-09-11)Extracting general or intermediate level terms is a relevant problem that has not received much attention in literature. Current approaches for term extraction rely on contrastive corpora to identify domain-specific terms, ... -
A DRM Solution Based on Social Networks and Enabling the Idea of Fair Use
(2007)Fair use policy allows legal owners to share products they bought with their acquaintance; it is based on the assumptions that the owners pass an original product and they cannot use it at the same time. In the digital ... -
Drug target discovery using knowledge graph embeddings
(Association for Computing Machinery, 2019-04-08)The field of drug discovery has entered a plateau stage lately. It is increasingly more expensive and time-demanding to introduce new drugs into the market. One of the main reasons is the slow progress in finding novel ... -
Dynamic Querying of Mass-Storage RDF Data with Rule-Based Entailment Regimes
(Springer, 2009)RDF Schema (RDFS) as a lightweight ontology language is gaining popularity and, consequently, tools for scalable RDFS inference and querying are needed. SPARQL has become recently aW3C standard for querying RDF data, ... -
Dynamic Service Discovery through Meta-Interactions with Service Providers
(Springer, 2007)Dynamic discovery based on semantic description of services is an essential aspect of the Semantic Web services integration process. Since not all data required for service discovery can always be included in service ... -
E-learning based on the Social Semantic Information Sources
(2006)E-Learning is no longer just about the materials burned on CD-ROMs and sent across the country. With the potential offered by the Internet, there are new on-line courses emerging every day. However successful they are, ... -
E-learning based on the Social Semantic Information Sources
(2006)E-Learning is no longer just about the materials burned on CD-ROMs and sent across the country. With the potential offered by the Internet, there are new on-line courses emerging every day. However successful they are, ... -
E-Learning on the Social Semantic Information Sources
(2007)E-Learning grows on the fertile soil of the Internet technologies; it fails, however, to reach their full potential. With new, emerging technologies of the second generation Internet there is even more to be captured and ... -
Edge2Train: A framework to train machine learning models (SVMs) on resource-constrained IoT edge devices
(Association for Computing Machinery (ACM), 2020-10-06)In recent years, ML (Machine Learning) models that have been trained in data centers can often be deployed for use on edge devices. When the model deployed on these devices encounters unseen data patterns, it will either ... -
An Eigenvalue-Based Measure for Word-Sense Disambiguation
(FLAIRS 2012, 2012)Current approaches for word-sense disambiguation (WSD) try to relate the senses of the target words by optimizing a score for each sense in the context of all other words' senses. However, by scoring each sense separately, ...