Browsing Data Science Institute by Title
Now showing items 483-502 of 544
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Translating ontologies in real-world settings
(Springer Verlag, 2016-09-23)To enable knowledge access across languages, ontologies that are often represented only in English, need to be translated into different languages. The main challenge in translating ontologies is to disambiguate an ontology ... -
Translating the FINREP taxonomy using a domain-specific corpus
(IAMT and EAMT, 2013-09-02)Our research investigates the use of statistical machine translation (SMT) to translate the labels of concepts in an XBRL taxonomy. Often taxonomy concepts are given labels in only one language. To enable knowledge access ... -
Transmitting and Gathering Streaming Data in Wireless Multimedia Sensor Networks within Expected Network Lifetime
(Springer Science, 2008)Using multimedia sensor nodes in wireless sensor networks (WSNs) can significantly enhance the capability of WSNs for event description. Different kinds of holes can easily appear in WSNs. How to efficiently transmit ... -
Triplifying Wikipedia's tables
(CEUR-WS.org, 2013)We are currently investigating methods to triplify the content of Wikipedia's tables. We propose that existing knowledge-bases can be leveraged to semi-automatically extract high-quality facts (in the form of RDF triples) ... -
Trust Models for Community Aware Identity Management
(2006)The contemporary Web is heading towards its next stage of evolution. From a clump of unorganised information spaces, the Web is becoming more focused on the meaning of information (the Semantic Web) and on community awareness ... -
Truth or lie: Automatically fact checking news
(ACM, 2018-04-23)In the actual scenario of ever-growing data consumption speed and quantity, factors like news source decentralization, citizen journalism and democratization of media, make the task of manually checking and correcting ... -
A Twitter sentiment gold standard for the Brexit referendum
(CEUR Workshop Proceedings, 2016-09-12)A Twitter Sentiment Gold Standard for the Brexit Referendum Manuela Hürlimann, Brian Davis Insight Centre for Data Analytics National University of Ireland Galway, Ireland {first.last}@insight-centre.org Keith Cortis, André ... -
ULD@NUIG at SemEval-2020 Task 9: Generative morphemes with an attention model for sentiment analysis in code-mixed text
(International Committee for Computational Linguistics, 2020)Code mixing is a common phenomena in multilingual societies where people switch from one language to another for various reasons. Recent advances in public communication over different social media sites have led to an ... -
Ultra-fast machine learning classifier execution on IoT devices without SRAM consumption
(Institute of Electrical and Electronics Engineers (IEEE), 2021-05-25)With the introduction of edge analytics, IoT devices are becoming smart and ready for AI applications. A few modern ML frameworks are focusing on the generation of small-size ML models (often in kBs) that can directly be ... -
Uncovering semantic bias in neural network models using a knowledge graph
(ACM, 2020-10-19)While neural networks models have shown impressive performance in many NLP tasks, lack of interpretability is often seen as a disadvantage. Individual relevance scores assigned by post-hoc explanation methods are not ... -
Understanding Contributor to Developer Turnover Patterns in OSS Projects: A Case Study of Apache Projects
(Hindawi Publishing Corporation, 2014-01-19)OSS projects are dynamic in nature. Developers contribute to a project for a certain period of time and later leave the project or join other projects of high interest. Hence, the OSS community always welcomes members who ... -
Understanding Linked Open Data as a Web-Scale Database
(2010)While Linked Open Data (LOD) has gained much attention in the recent years, requirements and the challenges concerning its usage from a database perspective are lacking. We argue that such a perspective is crucial for ... -
Understanding my city through dashboards. How hard can it be?
(International Federation for Information Processing (IFIP) and eJournal of eDemocracy and Open Government (JeDEM), 2019-09-02)This paper describes research into how current city dashboards support users' sensemaking processes. It uses criteria identified in previous research concerning visualisation and applies these to a number of city dashboards ... -
Understanding the Maturity of Sustainable ICT
(Springer, 2012)Sustainable ICT (SICT) can develop solutions that offer benefits both internally in IT and across the extended enterprise. However, because the field is new and evolving, few guidelines and best practices are available. ... -
UniStore: Querying a DHT-based Universal Storage
(2007)In recent time, the idea of collecting and combining large public data sets and services became more and more popular. The special characteristics of such systems and the requirements of the participants demand for ... -
Unsupervised deep language and dialect identification for short texts
(International Committee on Computational Linguistics, 2020-12)Automatic Language Identification (LI) or Dialect Identification (DI) of short texts of closely related languages or dialects, is one of the primary steps in many natural language processing pipelines. Language identification ... -
Unsupervised Graph-Based Topic Labelling using DBpedia
(2013)Automated topic labelling brings benefits for users aiming at analysing and understanding document collections, as well as for search engines targetting at the linkage between groups of words and their inherent topics. ... -
Unsupervised learning for understanding student achievement in a distance learning setting
(IEEE, 2017-04-25)Many factors could affect the achievement of students in distance learning settings. Internal factors such as age, gender, previous education level and engagement in online learning activities can play an important role ... -
Unsupervised method to analyze playing styles of EPL teams using ball possession-position data
(IEEE, 2020-03-06)In the English Premier League (EPL) matches, a network of advanced systems gathers sports data in real-time to build a possession-position dataset. In this work, data fields from the sophisticated raw possession-position ... -
Update Semantics for Interoperability among XML, RDF and RDB - A Case Study of Semantic Presence in CISCO's Unified Presence Systems
(Springer, 2013)XSPARQL is a transformation and querying language that provides an integrated access over heterogeneous data sources on the fly. It is an extension of XQuery which supports a subset of SPARQL and SQL to provide unified ...