Browsing Data Science Institute (Conference Papers) by Title
Now showing items 280-299 of 307
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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 ... -
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 ... -
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 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 ... -
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 ... -
Using domain-specific and collaborative resources for term translation
(Association for Computational Linguistics, 2012-07)In this article we investigate the translation of terms from English into German and vice versa in the isolation of an ontology vocabulary. For this study we built new domainspecific resources from the translation ... -
Using drug similarities for discovery of possible adverse reactions
(AMIA, 2017-02-10)We propose a new computational method for discovery of possible adverse drug reactions. The method consists of two key steps. First we use openly available resources to semi-automatically compile a consolidated data set ... -
Using linked data to mine RDF from wikipedia's tables
(ACM, 2014)The tables embedded in Wikipedia articles contain rich, semi-structured encyclopaedic content. However, the cumulative content of these tables cannot be queried against. We thus propose methods to recover the semantics of ... -
Using Tags and Clustering to Identify Topic-Relevant Blogs
(IAAA, 2007)The Web has experienced an exponential growth in the use of weblogs or blogs. Blog entries are generally organised using tags, informally defined labels which are increasingly being proposed as a `grassroots¿ answer to ... -
Validation of expressive XML keys with XML schema and XQuery
(ACS, 2015)The eXtensible Markup Language (XML) is the defacto industry standard for exchanging data on the Web and elsewhere. While the relational model of data enjoys a well-accepted definition of a key, several competing notions ... -
Virtual Location-Based Services: Merging the Physical and Virtual World
(2014)[no abstract available] -
What just happened? A Framework for Social Event Detection and Contextualisation
(2014-10-21)In course of a breaking news event, such as natural calamity, political uproar etc., a massive crowd sourced data is generated over social media which makes social media platforms an important source of information in ... -
Where is the News Breaking? Towards a Location-based Event Detection Framework for Journalists
(Springer, 2014)The rise of user-generated content (UCG) as a source of information in the journalistic lifecycle is driving the need for automated methods to detect, filter, contextualise and verify citizen reports of breaking news ...