Browsing Data Science Institute by Title
Now showing items 98-117 of 544
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A deep learning approach to genomics data for population scale clustering and ethnicity prediction
(CEUR-WS.org, 2017-05-28)The understanding of variations in genome sequences assists us in identifying people who are predisposed to common diseases, solving rare diseases, and finding corresponding population group of the individuals from a ... -
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 ... -
Demo: Visual Programming for the Semantic Desktop with Konduit
(2008)In this demo description, we present Konduit, a desktop-based platform for visual programming with RDF data. Based on the idea of the semantic desktop, non-technical users can create, manipulate and mash-up RDF data with ... -
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 ... -
Describing Linked Datasets - On the Design and Usage of voiD, the 'Vocabulary of Interlinked Datasets'
(2009)In this paper we discuss the design and implementation of voiD, the \Vocabulary Of Interlinked Datasets", a vocabulary that allows to formally describe linked RDF datasets. We report on use cases for voiD, the current state ... -
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 ... -
DigiMe - Ubiquitous Search and Browsing for Digital Libraries
(IEEE, 2006)Vast sources of information, such as the Internet are difficult to browse and/or search through. Existing tools can be sometimes frustrating for many people. So far a number of techniques have been proposed to deliver ... -
DING! Dataset Ranking using Formal Descriptions
(2009)Considering that thousands if not millions of linked datasets will be published soon, we motivate in this paper the need for an efficient and effective way to rank interlinked datasets based on formal descriptions of their ... -
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 ... -
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) ... -
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 ... -
A Distributed Semantic Microblogging Platform
(2008)The application showcases the ideas of a distributed, Semantic-Web enabled micro blogging architecture, providing a way to leverage this new Web 2.0 practice to the Semantic Web. -
dlvhex-sparql: A SPARQL-compliant query engine based on dlvhex
(CEUR, 2007)This paper describes the dlvhex SPARQL plugin, a query processor for the upcoming Semantic Web query language standard by W3C. We report on the implementation of this languages using dlvhex, a flexible plugin system ... -
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, ...