Browsing Data Science Institute by Title

Now showing items 157-176 of 544

    • Experiments with term translation 

      Arcan, Mihael; Federmann, Christian; Buitelaar, Paul (Association for Computational Linguistics, 2012-12-08)
      In this article we investigate the translation of financial terms from English into German in the isolation of an ontology vocabulary. For this study we automatically built new domain-specific resources from the translation ...

    • The ExpertFinder Corpus 2007 for the Benchmarking and Development of ExpertFinding Systems 

      Hogan, Aidan; Harth, Andreas (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 

      Haller, Armin; Gomez, Juan Miguel; Bussler, Christoph (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 ...

    • Extending Community Ontology Using Automatically Generated Suggestions 

      Nováček, Vít; Dabrowski, Maciej; Kruk, Sebastian Ryszard; Handschuh, Siegfried (AAAI Press, 2007)
      In this paper we propose an ontology (formal knowledge base) creation methodology based on integrating external ontologies into the one developed by a community of the do- main experts. We present the MarcOntX agent, a ...

    • Extending faceted navigation for RDF data 

      Oren, Eyal; Delbru, Renaud; Decker, Stefan (2006)
      Data on the Semantic Web is semi-structured and does not follow one fixed schema. Faceted browsing is a natural technique for navigating such data, partitioning the information space into orthogonal conceptual dimensions. ...

    • Extending inner-ear anatomical concepts in the Foundational Model of Anatomy (FMA) ontology 

      Khan, Yasar; Mehdi, Muntazir; Jha, Alokkumar; Raza, Saleem; Freitas, Andre; Jones, Marggie; Sahay, Ratnesh (IEEE, 2015-11-02)
      The inner ear is physically inaccessible in living humans, which leads to unique difficulties in studying its normal function and pathology as in other human organs. Recently, biosimulation model has gained a significant ...

    • Extending largeRDFBench for multi-source data at scale for SPARQL endpoint federation 

      Hasnain, Ali; Saleem, Muhammad; Ngomo, Axel-Cyrille Ngonga; Rebholz-Schuhmann, Dietrich (IOS Press, 2018)
      Querying the Web of Data is highly motivated by the use of federation approaches mainly SPARQL query federation when the data is available through endpoints. Different benchmarks have been proposed to exploit the full ...

    • Extracting and Utilizing Social Networks from Log Files of Shared Workspaces 

      Nasirifard, Peyman; Peristeras, Vassilios; Hayes, Conor; Decker, Stefan (Springer, 2009)
      Log files of online shared workspaces contain rich information that can be further analyzed. In this paper, log-file information is used to extract object-centric and user-centric social networks. The object-centric social ...

    • Extracting Information for Context-aware Meeting Preparation 

      Simon Scerri and Behrang QasemiZadeh and Maciej Dabrowski and Ismael Rivera (2014)
      People working in an office environment suffer from large volumes of information that they need to manage and access. Frequently, the problem is due to machines not being able to recognise the many implicit relationships ...

    • Eye of the Tiger 

      Nováček, Vít; Groza, Tudor; Handschuh, Siegfried; Decker, Stefan (2009)

    • Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models 

      Muñoz, Emir; Nováček, Vít; Vandenbussche, Pierre-Yves (Oxford University Press (OUP), 2017-08-18)
      Timely identification of adverse drug reactions (ADRs) is highly important in the domains of public health and pharmacology. Early discovery of potential ADRs can limit their effect on patient lives and also make drug ...

    • Facilitating scientometrics in learning analytics and educational data mining - The LAK dataset 

      Dietze, Stefan; Taibi, Davide; d’Aquin, Mathieu (IOS Press, 2016-11-06)
      The Learning Analytics and Knowledge (LAK) Dataset represents an unprecedented corpus which exposes a near complete collection of bibliographic resources for a specific research discipline, namely the connected areas of ...

    • Fast and Scalable Pattern Mining for Media-Type Focused Crawling 

      Umbrich, Jürgen; Karnstedt, Marcel; Harth, Andreas (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 ...

    • Federating Distributed Social Data to Build an Interlinked Online Information Society 

      Passant, Alexandre; Samwald, Matthias; Breslin, John; Decker, Stefan (2009)
      While research on the relation- ship between the Semantic Web and social media was originally motivated by the lack of semantics in mainstream Web 2.0 ser- vices, this vision can go much further, impacting society at large ...

    • Financial Industry Ontologies for Risk and Regulation Data (FIORD): a position paper 

      Koumpis, Adamantios (2013)
      This paper presents a proposed approach to address risk andregulation management within the highly active and volatile financial domainby employing semantic based technologies within a collaborative networksenvironment. ...

    • Findings of the LoResMT 2020 shared task on zero-shot for low-resource languages 

      Ojha, Atul Kr.; Malykh, Valentin; Karakanta, Alina; Liu, Chao-Hong (Association for Computational Linguistics, 2020-12-04)
      This paper presents the findings of the LoResMT 2020 Shared Task on zero-shot translation for low resource languages. This task was organised as part of the 3rd Workshop on Technologies for MT of Low Resource Languages ...

    • Findings of the LoResMT 2021 shared task on COVID and sign language for low-resource languages 

      Ojha, Atul Kr.; Liu, Chao-Hong; Kann, Katharina; Ortega, John; Shatam, Sheetal; Fransen, Theodorus (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 ...

    • The finite implication problem for expressive XML keys: Foundations, applications, and performance evaluation 

      Ferrarotti, Flavio; Hartmann, Sven; Link, Sebastian; Marin, Mauricio; Muñoz, Emir (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 ...

    • FinSentiA: sentiment analysis in English financial microblogs 

      Gaillat, Thomas; Sousa, Annanda; Zarrouk, Manel; Davis, Brian (NUI Galway, 2018-05-14)
      The objective of this paper is to report on the building of a Sentiment Analysis (SA) system dedicated to financial microblogs in English. The purpose of our work is to build a financial classifier that predicts the sentiment ...

    • First insights on a passive major depressive disorder prediction system with incorporated conversational chatbot 

      Delahunty, Fionn; Wood, Ian D.; Arcan, Mihael (AICS 2018 and CEUR-WS.org, 2018-12-06)
      Almost 50% of cases of major depressive disorder go undiagnosed. In this paper, we propose a passive diagnostic system that combines the areas of clinical psychology, machine learning and conversational dialogue systems. ...