Browsing Data Science Institute (Conference Papers) by Title
Now showing items 199-218 of 307
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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 ... -
Re-coding Black Mirror Chairs' Welcome & Organization
(ACM, 2018-04-23)This volume of proceedings presents the papers from the 2nd edition of the interdisciplinary workshop Re-coding Black Mirror, held on April 24, 2018 in Lyon, France and co-located with The WEB Conference (WWW2018). ... -
Reconstruction of Threaded Conversations in Online Discussion Forums
(Fifth International AAAI Conference on Weblogs and Social Media, 2011-07-18)[no abstract available] -
Regularizing knowledge graph embeddings via equivalence and inversion axioms
(Springer Verlag, 2017-12-30)Learning embeddings of entities and relations using neural architectures is an effective method of performing statistical learning on large-scale relational data, such as knowledge graphs. In this paper, we consider the ... -
Renewable energy integration through coalition formation for P2P energy trading
(National University of Ireland Galway, 2020-10-09)Renewable energy sources are highly unreliable; hence prosumers connected to renewable energy sources find unreliable energy surplus and demands which should be managed frequently within neighbourhoods. Peer-to-peer(P2P) ... -
Rewriting simplified text into a controlled natural language
(IOS Press, 2018-08-27)While machine processable Controlled Natural Languages (CNLs) as a natural language interface have proven a popular, unambiguous and user friendly method for non experts to engineer formal knowledge-bases, human-oriented ... -
A Roadmap for navigating the Life Sciences Linked Open Data Cloud
(2014)Multiple datasets that add high value to biomedical research have been exposed on the web as a part of the Life Sciences Linked Open Data (LSLOD) Cloud. The ability to easily navigate through these datasets is crucial for ...