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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 ...
Open social data crime analytics
(IJCAI 17 Melbourne, 2017-07-20)
Crime is under-reported. Reporting crime requires the victim to complete a number of administrative obligations. These obligations, as well as the nature of the crime, may create an inertia that discourages the reporting ...
Accurate Bayesian prediction of cardiovascular-related mortality using ambulatory blood pressure measurements
(Springer Cham, 2017-05-30)
Hypertension is the leading cause of cardiovascular-related
mortality (CVRM), affecting approximately 1 billion people worldwide.
To enable patients at significant risk of CVRM to be treated appropriately,
it is essential ...
Soft cardinality constraints on XML data: How exceptions prove the business rule
(Springer Verlag, 2013)
We introduce soft cardinality constraints which need to be satisfied on average only, and thus permit violations in a controlled manner. Starting from a highly expressive but intractable class, we establish a fragment that ...
Learning content patterns from linked data
(CEUR-WS.org, 2014)
Linked Data (LD) datasets (e.g., DBpedia, Freebase) are used in many knowledge extraction tasks due to the high variety of domains they cover. Unfortunately, many of these datasets do not provide a description for their ...
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) ...
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 ...
DRETa: extracting RDF from wikitables
(CEUR-WS.org, 2013)
Tables are widely used in Wikipedia articles to display relational information - they are inherently concise and information rich. However, aside from info-boxe s, there are no automatic methods to exploit the integrated ...
NUIG at EmoInt-2017: BiLSTM and SVR ensemble to detect emotion intensity
(Association for Computational Linguistics, 2017-09-08)
This paper describes the entry NUIG in the WASSA 20171 shared task on emotion recognition. The NUIG system used an SVR (SVM regression) and BiLSTM ensemble, utilizing primarily n-grams (for SVR features) and tweet word ...