Browsing Data Science Institute (Conference Papers) by Title
Now showing items 193-212 of 307
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Potential and limits of using post-edits as reference translations for MT evaluation
(Vilnius University, University of Latvia, Latvia University of Agriculture, Institute of Mathematics and Informatics of University of Latvia, 2016-05-30)This work investigates the potential use of post-edited machine translation (MT) outputs as reference translations for automatic machine translation evaluation, focusing mainly on the following important question: Is it ... -
PPEPR for Enterprise Healthcare Integration
(Springer, 2008)PPEPR is software to connect healthcare enterprises. Healthcare is a complex domain and any integration system that connects healthcare enterprise applications must facilitate heterogeneous healthcare systems at all levels ... -
PPEPR: Plug and Play Electronic Patient Records
(ACM, 2008)The integration of Electronic Patient Record (EPR) systems is at the centre of many of the new regional and national initiatives to integrate clinical processes across department, region, and national levels. Web Service ... -
Predicting citations from mainstream news, weblogs and discussion forum
(ACM (Association for Computing Machinery), 2017-08-23)The growth in the alternative digital publishing is widening the breadth of scholarly impact beyond the conventional bibliometric community. Thus, research is becoming more reachable both inside and outside of academic ... -
Process Mediation Based on Triple Space Computing
(Springer, 2008)Web services are inherently heterogeneous at both data and behavioral levels because of the nature of the Web, which is the main obstacle to the usability of Web services. The heterogeneity at a behavioral level is generally ... -
Produce and Consume Linked Data with Drupal!
(Springer, 2009)Currently a large number of Web sites are driven by Content Management Systems (CMS) which manage textual and multimedia content but also - inherently - carry valuable information about a site¿s structure and content ... -
Propagating data policies: a user study
(ACM, 2017-11-04)When publishing data, data licences are used to specify the actions that are permitted or prohibited, and the duties that target data consumers must comply with. However, in complex environments such as a smart city ... -
Protect Your RDF Data!
(2012)The explosion of digital content and the heterogeneity of enterprise content sources have pushed existing data integration solutions to their boundaries. Although RDF can be used as a representation format for integrated data, ... -
A Protégé Plug-in Development to Support the NEPOMUK Representational Language
(2007)In this document, we present the challenges faced to develop a plug-in for Protégé that supports requirements for the NEPOMUK1 Representational Language (NRL). NRL is a language built on top of RDF/S and ... -
A Prototype to Explore Content and Context on Social Community Sites
(2007)The SIOC Ontology can be used to express information from the online community sites in a machine readable form using RDF. This rich data structure allows us to easily analyse and extract social relations from these ... -
Quantified equilibrium logic and hybrid rules
(Springer, 2007)In the ongoing discussion about combining rules and Ontologies on the Semantic Web a recurring issue is how to combine first-order classical logic with nonmonotonic rule languages. Whereas several modular approaches to de- ... -
Querying Phenotype-Genotype Associations across Multiple Knowledge Bases using Semantic Web Technologies
(2013)Biomedical and genomic data are inherently heterogeneous and their recent proliferation over the Web has demanded innovative querying methods to help domain experts in their clinical and research studies. In this paper we ... -
Querying web polystores
(IEEE, 2017-12-11)The database, semantic web, and linked data communities have proposed solutions that federate queries over multiple data sources using a single data model. Nowadays, the data retrieval requirements originating from versatile ... -
Random Indexing Explained with High Probability
(2015)Random indexing (RI) is an incremental method for constructing a vector space model (VSM) with a reduced dimensionality. Previously, the method has been justified using the mathematical framework of Kanerva's sparse ... -
Random indexing revisited
(Springer, 2015-05-17)Random indexing is a method for constructing vector spaces at a reduced dimensionality. Previously, the method has been proposed using Kanerva's sparse distributed memory model. Although intuitively plausible, this ... -
Random Manhattan Indexing
(2014)Vector space models (VSMs) are mathematically well-defined frameworks that have been widely used in text processing. In these models, high-dimensional, often sparse vectors represent text units. In an application, the ... -
Random Manhattan Integer Indexing: Incremental L1 Normed Vector Space Construction
(2014)Vector space models (VSMs) are mathematically well-defined frameworks that have been widely used in the distributional approaches to semantics. In VSMs, high-dimensional vectors represent linguistic entities. In an ... -
Rapid Competence Development in Serious Games Using Case-Based Reasoning and Threshold Concepts
(2010)A major challenge in todays fast pace world is the acquisition of competence in a timely and efficient manner, whilst keeping the individual highly motivated. This paper presents a novel based on the use of serious games ... -
RCE-NN: a five-stage pipeline to execute neural networks (CNNs) on resource-constrained IoT edge devices
(Association for Computing Machinery (ACM), 2020-10-06)Microcontroller Units (MCUs) in edge devices are resource constrained due to their limited memory footprint, fewer computation cores, and low clock speeds. These limitations constrain one from deploying and executing machine ...