Browsing Data Science Institute (Conference Papers) by Title
Now showing items 125-144 of 307
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An Interactive Map of Semantic Web Ontology Usage
(IEEE, 2008)Publishing information on the Semantic Web using common formats enables data to be linked together, integrated and reused. In order to fully leverage the potential for interlinking data by reusing existing schemas, an ... -
Investigating Context Parameters in Technology Term Recognition
(2014)We propose and evaluate the task of technology term recognition: a method to extract technology terms at a synchronic level from a corpus of scientific publications. The proposed method is built on the principles of ... -
Invited Talk: Can We Deal with Emergent Knowledge Yet?
(VSE Prague, 2010)This overview paper briefly describes problems we need to tackle if we want to meaningfully and efficiently process emergent knowledge. By this term we essentially mean knowledge continually emerging in a bottom-up manner ... -
IRIS: English-Irish machine translation system
(European Language Resources Association, 2016-05-23)We describe IRIS, a statistical machine translation (SMT) system for translating from English into Irish and vice versa. Since Irish is considered an under-resourced language with a limited amount of machine-readable text, ... -
JeromeDL - Adding Semantic Web Technologies to Digital Libraries
(Springer, 2005)In recent years more and more information has been made available on the Web. High quality information is often stored in dedicated databases of digital libraries, which are on their way to become expanding islands of well ... -
Kanopy: Analysing the Semantic Network around Document Topics
(Springer, 2013)External knowledge bases, both generic and domain specific, available on the Web of Data have the potential of enriching the content of text documents with structured information. We present the Kanopy system that makes ... -
Knowledge base completion using distinct subgraph paths
(ACM, 2018-04-09)Graph feature models facilitate efficient and interpretable predictions of missing links in knowledge bases with network structure (i.e. knowledge graphs). However, existing graph feature models-e.g. Subgraph Feature ... -
Knowledge portability with semantic expansion of ontology labels
(Association for Computational Linguistics, 2015-07-26)Our research focuses on the multilingual enhancement of ontologies that, often represented only in English, need to be translated in different languages to enable knowledge access across languages. Ontology translation ... -
Knowledge-Based Search for Oncological Literature: Technical Architecture and User Perspectives
(IEEE, 2009)Using the current state of the art in life science publication search (e.g., PubMed), one can efficiently search for resources containing particular key-words or their combinations. It is impossible to search for abstract ... -
KonneXSALT: First Steps Towards a Semantic Claim Federation Infrastructure
(Springer, 2008)Dissemination, an important phase of scientific research, can be seen as a communication process between scientists. They expose and support their findings, while discussing claims stated in related scientific publications. ... -
Language related issues for machine translation between closely related south Slavic languages
(The COLING 2016 Organizing Committee, 2016-12-12)Machine translation between closely related languages is less challenging and exhibits a smaller number of translation errors than translation between distant languages, but there are still obstacles which should be ... -
LD2SD: Linked Data Driven Software Development
(2009)In this paper we introduce Linked Data Driven Software Development (LD2SD), a light-weight Semantic Web methodology to turn software artefacts such as data from version control systems, bug tracking tools and source code ... -
Learning from Linked Open Data Usage: Patterns & Metrics
(2010)Although the cloud of Linked Open Data has been growing continuously for several years, little is known about the particular features of linked data usage. Motivating why it is important to understand the usage of Linked ... -
Leveraging Ontologies, Context and Social Networks to Automate Photo Annotation
(Springer, 2007)This paper presents an approach to semi-automate photo an- notation. Instead of using content-recognition techniques this approach leverages context information available at the scene of the photo such as time and location ... -
Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models
(NUI Galway, 2019-08-19)Rule-based machine translation is a machine translation paradigm where linguistic knowledge is encoded by an expert in the form of rules that translate from source to target language. While this approach grants total ... -
Life-cycles and mutual effects of scientific communities
(ASNA, 2011)Cross-community effects on the behaviour of individuals and communities themselves can be observed in a wide range of applications. While previous work has tried to explain and analyse such phenomena, there is still a great ... -
Linguistic linked data for sentiment analysis
(Association for Computational Linguistics, 2013-09-23)In this paper we describe the specification of a model for the semantically interoperable representation of language resources for sentiment analysis. The model integrates ‘lemon’, an RDF-based model for the specification ... -
Link prediction using multi part embeddings
(NUI Galway, 2019-06-02)Knowledge graph embeddings models are widely used to provide scalable and efficient link prediction for knowledge graphs. They use different techniques to model embeddings interactions, where their tensor factorisation ... -
Linked Biomedical Dataspace: Lessons Learned integrating Data for Drug Discovery
(Springer, 2014)The increase in the volume and heterogeneity of biomedical data sources has motivated researchers to embrace Linked Data (LD) technologies to solve the ensuing integration challenges and enhance information discovery. As ... -
Linked cancer genome atlas database
(2013)