Browsing Data Science Institute (Conference Papers) by Title

Now showing items 86-105 of 307

    • 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 ...

    • 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 ...

    • 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 ...

    • 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. ...

    • A Formal Investigation of Semantic Interoperability of HCLS Systems 

      Sahay, Ratnesh (IGI Global, 2013)
      Semantic interoperability facilitates Health Care and Life Sciences (HCLS) systems in connecting stakeholders (e.g., patient, physician, pharmacy) at various levels as well as ensure seamless use of healthcare resources ...

    • Fostering Serendipity through Big Linked Data 

      Iqbal, Aftab (2013)
      The amount of bio-medical data available over the Web grows exponentially with time. The large volume of the currently available data makes it difficult to explore, while the velocity at which this data changesand the ...

    • Four Heuristics to Guide Structured Content Crawling 

      Umbrich, Jürgen; Harth, Andreas; Hogan, Aidan; Decker, Stefan (2008)
      Search engines focusing on particular media types face difficulties in discovering suitable URIs on the Web. Since the engines are only interested in a small fraction of the Web, a crawler should use heuristics to concentrate ...

    • Freshening up while Staying Fast: Towards Hybrid SPARQL Queries 

      Umbrich, Jürgen; Karnstedt, Marcel; Hogan, Aidan; Parreira, Josiane Xavier (2012)

    • From simplified text to knowledge representation using controlled natural language 

      Safwat, Hazem; Zarrouk, Manel; Davis, Brian (2017-04-17)
      Knowledge based systems provide means to store data and perform reasoning on top of it. Controlled Natural Language (CNL) is considered as an engineered subset of natural language. CNLs aim to abstract the complexity ...

    • Generating linked-data based domain-specific sentiment lexicons from legacy language and semantic resources 

      Vulcu, Gabriela; Buitelaar, Paul; Negi, Sapna; Pereira, Bianca; Arcan, Mihael; Coughlan, Barry; Sanchez, J. Fernando; Iglesias, Carlos A. (European Language Resources Association, 2014)
      We present a methodology for legacy language resource adaptation that generates domain-specific sentiment lexicons organized around domain entities described with lexical information and sentiment words described in the ...

    • GenomeSnip: Fragmenting the Genomic Wheel to augment discovery in cancer research 

      Kamdar, M; Iqbal, A; Saleem, M; Deus, H; Decker, S (2014)
      Cancer genomics researchers have greatly benefited from high-throughput technologies for the characterization of genomic alterations in patients. These voluminous genomics datasets when supplemented with the appropriate ...

    • Geographic Routing in Wireless Multimedia Sensor Networks 

      Shu, Lei; Hauswirth, Manfred (IEEE, 2008)
      In this paper, a -Phase geographic GreeTwody Forwarding (TPGF) routing algorithm is proposed in wireless multimedia sensor networks (WMSNs). TPGF is a pure geographic greedy forwarding routing algorithm, which does not ...

    • Grand challenge: Automatic anomaly detection over sliding windows 

      Zaarour, Tarek; Pavlopoulou, Niki; Hasan, Souleiman; ul Hassan, Umair; Curry, Edward (Association for Computing Machinery ACM, 2017-06-19)
      With the advances in the Internet of Things and rapid generation of vast amounts of data, there is an ever growing need for leveraging and evaluating event-based systems as a basis for building realtime data analytics ...