Browsing Data Science Institute by Title
Now showing items 173-192 of 544
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Findings of the LoResMT 2021 shared task on COVID and sign language for low-resource languages
(Association for Machine Translation in the Americas, 2021-08)We present the findings of the LoResMT 2021 shared task which focuses on machine translation (MT) of COVID-19 data for both low-resource spoken and sign languages. The organization of this task was conducted as part of the ... -
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 ... -
FinSentiA: sentiment analysis in English financial microblogs
(NUI Galway, 2018-05-14)The objective of this paper is to report on the building of a Sentiment Analysis (SA) system dedicated to financial microblogs in English. The purpose of our work is to build a financial classifier that predicts the sentiment ... -
First insights on a passive major depressive disorder prediction system with incorporated conversational chatbot
(AICS 2018 and CEUR-WS.org, 2018-12-06)Almost 50% of cases of major depressive disorder go undiagnosed. In this paper, we propose a passive diagnostic system that combines the areas of clinical psychology, machine learning and conversational dialogue systems. ... -
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 Formal Investigation of Semantic Interoperability of HCLS Systems
(IGI Global, 2013)Semantic interoperability facilitates Health Care and Life Sciences (HCLS) systems in connecting stakeholders (e.g., patient, physician, pharmacy) at various levels as well as ensure seamless use of healthcare resources ... -
Fostering Serendipity through Big Linked Data
(2013)The amount of bio-medical data available over the Web grows exponentially with time. The large volume of the currently available data makes it difficult to explore, while the velocity at which this data changesand the ... -
Four Heuristics to Guide Structured Content Crawling
(2008)Search engines focusing on particular media types face difficulties in discovering suitable URIs on the Web. Since the engines are only interested in a small fraction of the Web, a crawler should use heuristics to concentrate ... -
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 ... -
From Online Community Data to RDF
(2007)Large amounts of data are created within online community sites (forums, blogs, etc.). These can serve as a valuable source of information for web users, and usually contain rich meta-information. Most of this information ... -
From simplified text to knowledge representation using controlled natural language
(2017-04-17)Knowledge based systems provide means to store data and perform reasoning on top of it. Controlled Natural Language (CNL) is considered as an engineered subset of natural language. CNLs aim to abstract the complexity ... -
Generating linked-data based domain-specific sentiment lexicons from legacy language and semantic resources
(European Language Resources Association, 2014)We present a methodology for legacy language resource adaptation that generates domain-specific sentiment lexicons organized around domain entities described with lexical information and sentiment words described in the ... -
GenomeSnip: Fragmenting the Genomic Wheel to augment discovery in cancer research
(2014)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 ... -
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 ... -
Geographic Routing in Wireless Multimedia Sensor Networks
(IEEE, 2008)In this paper, a -Phase geographic GreeTwody Forwarding (TPGF) routing algorithm is proposed in wireless multimedia sensor networks (WMSNs). TPGF is a pure geographic greedy forwarding routing algorithm, which does not ... -
Grand challenge: Automatic anomaly detection over sliding windows
(Association for Computing Machinery ACM, 2017-06-19)With the advances in the Internet of Things and rapid generation of vast amounts of data, there is an ever growing need for leveraging and evaluating event-based systems as a basis for building realtime data analytics ... -
Handling heterogeneity in RosettaNet messages
(2007)We present a semantic B2B gateway based on the WSMX se- mantic Service-Oriented Architecture to tackle heterogeneities in RosettaNet messages. We develop a rich RosettaNet ontology and use the axiomatised knowledge and ... -
Harvesting Desktop Data for Semantic Blogging
(2005)A typical computer user¿s desktop contains large amount of formal data, such as addresses, events or bibliopraphies. Especially within a corporate or organizational environment, it is often important to exchange this data ... -
Heterogeneity and Context in Semantic-Web-Enabled HCLS Systems
(Springer, 2009)The need for semantics preserving integration of complex data has been widely recognized in the healthcare domain. While standards such as Health Level Seven (HL7) have been developed in this direction, they have mostly ...