Browsing Data Science Institute (Workshop Papers) by Title
Now showing items 32-51 of 118
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Enhancing multiple-choice question answering with causal knowledge
(Association for Computational Linguistics, 2021-06-10)The task of causal question answering aims to reason about causes and effects over a provided real or hypothetical premise. Recent approaches have converged on using transformer-based language models to solve question ... -
EUREEKA: Deepening the Semantic Web by More Efficient Emergent Knowledge Representation and Processing
(CEUR-WS, 2008)One of the major Semantic Web challenges is the knowledge acquisition bottleneck. New content on the web is produced much faster than the respective machine readable annotations, while a scalable knowledge extraction ... -
The ExpertFinder Corpus 2007 for the Benchmarking and Development of ExpertFinding Systems
(2007)We provide a benchmark dataset for expert finding within the computer science domain. We show how large isolated data graphs from disparate structured data sources can be combined to form one, large, well-linked RDF graph ... -
Exposing Semantic Web Service principles in SOA to solve EAI scenarios
(2005)Traditional Enterprise Application Integration (EAI) focuses on the integration of application interfaces by pipelining different middle- ware technologies like message queuing or remote method invocations. Web Service ... -
Fast and Scalable Pattern Mining for Media-Type Focused Crawling
(2009)Search engines targeting content other than hypertext documents require a crawler that discovers resources identifying files of certain media types. Naive crawling approaches do not guarantee a sufficient supply of new ... -
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 ... -
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 ... -
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 ... -
A hybrid method for rating prediction using linked data features and text reviews
(CEUR-WS.org, 2016)This paper describes our entry for the Linked Data Mining Challenge 2016, which poses the problem of classifying music albums as good or bad by mining Linked Data. The original labels are assigned according to aggregated ... -
In or out? Real-time monitoring of BREXIT sentiment on Twitter
(CEUR Workshop Proceedings, 2016-09-12)The SSIX (Social Sentiment analysis financial IndeXes) project is a European Innovation Project sponsored by the European Commission under the Horizon 2020 framework. SSIX aims to provide European SMEs with a collection ... -
inContext: A Pervasive and Collaborative Working Environment for Emerging Team Forms
(2008)Participants in current team collaborations belong to different organizations, work on multiple objectives at the same time, and frequently change locations. They use different devices and infrastructures in collaboration ... -
Interlinking Multimedia: How to Apply Linked Data Principles to Multimedia Fragments
(2009)In this paper, we introduce interlinking multimedia (iM), a pragmatic way to apply the linked data principles to fragments of multimedia items. We report on use cases showing the need for retrieving and describing multimedia ... -
Is trust between AI institutions and the public “morally rotten?”
(Machine Ethics Research Group, School of Computer Science, University College Dublin, 2020)Developing artificial Intelligence (AI) technology has become a business of power. AI innovation is increasingly centralized in a few large companies – mainly, Google, Facebook, and Apple.1 Specialized data scientists - ... -
JeromeDL - a Semantic Digital Library
(2007)JeromeDL is a Semantic Digital Library engine. It uses SemanticWeb and Social Networking technologies to improve browsing and searching for resources. With JeromeDL¿s social and semantic services every library user ... -
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 ... -
Leveraging existing web frameworks for a SIOC explorer to browse online social communities
(2007)Since online SemanticWeb applications are based on existing Web infrastructure, developing these applications could leverage experiences with and infrastructure of existing frameworks. These frameworks need to be extended ... -
A linked data-based decision tree classifier to review movies
(CEUR-WS.org, 2015)In this paper, we describe our contribution to the 2015 Linked Data Mining Challenge. The proposed task is concerned with the prediction of review of movies as good or bad , as does Metacritic website based on critics ... -
Linked Open Data in Sensor Data Mashups
(CEUR, 2009)Sensors and the real-time data they produce are novel sources of information which need to be integrated into the Semantic Web at very large scale. Most of the time such data is locked inside specific applications and only ...