Now showing items 96-115 of 307

    • 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 ...
    • Handling heterogeneity in RosettaNet messages 

      Haller, Armin; Kotinurmi, Paavo; Vitvar, Tomas; Oren, Eyal (2007)
      We present a semantic B2B gateway based on the WSMX se- mantic Service-Oriented Architecture to tackle heterogeneities in RosettaNet messages. We develop a rich RosettaNet ontology and use the axiomatised knowledge and ...
    • Heterogeneity and Context in Semantic-Web-Enabled HCLS Systems 

      Zimmermann, Antoine; Sahay, Ratnesh; Fox, Ronan; Polleres, Axel (Springer, 2009)
      The need for semantics preserving integration of complex data has been widely recognized in the healthcare domain. While standards such as Health Level Seven (HL7) have been developed in this direction, they have mostly ...
    • Historical data preservation and interpretation pipeline for Irish civil registration records 

      Beyan, Oya; Mealy, P. J.; Grant, Dolores; Grant, Rebecca; Harrower, Natalie; Breathnach, Ciara; Collins, Sandra; Decker, Stefan (Springer Verlag, 2015-10-28)
      Semantic Web technologies give us the opportunity to understand today's data-rich society and provide novel means to explore our past. Civil registration records such as birth, death, and marriage registers contain a vast ...
    • Hot Topics and Schisms in NLP: Community and Trend Analysis with Saffron on ACL and LREC Proceedings 

      Buitelaar, Paul; Bordea, Georgeta; Coughlan, Barry (2014)
      In this paper we present a comparative analysis of two series of conferences in the field of Computational Linguistics, the LREC conference and the ACL conference. Conference proceedings were ...
    • Hybrid SPARQL queries: fresh vs. fast results 

      Umbrich, Jurgen; Karnstedt, Marcel; Hogan, Aidan; Parreira, Xavier (2012)
    • Identification of bilingual terms from monolingual documents for statistical machine translation 

      Arcan, Mihael; Giuliano, Claudio; Turchi, Marco; Buitelaar, Paul (Association for Computational Linguistics, 2014-08-23)
      The automatic translation of domain-specific documents is often a hard task for generic Statistical Machine Translation (SMT) systems, which are not able to correctly translate the large number of terms encountered in the ...
    • Identifying equivalent relation paths in knowledge graphs 

      Mohamed, Sameh K.; Muñoz, Emir; Nováček, Vít; Vandenbussche, Pierre-Yves (Springer Verlag, 2017-06-19)
      Relation paths are sequences of relations with inverse that allow for complete exploration of knowledge graphs in a two-way unconstrained manner. They are powerful enough to encode complex relationships between entities ...
    • Identifying main obstacles for statistical machine translation of morphologically rich South Slavic languages 

      Popovic, Maja; Arcan, Mihael (European Association for Machine Translation, 2015-05-11)
      The best way to improve a statistical machine translation system is to identify concrete problems causing translation errors and address them. Many of these problems are related to the characteristics of the involved ...
    • IKHarvester Informal eLearning with SemanticWeb Harvesting 

      Jankowski, Jacek; Westerski, Adam; Kruk, Sebastian Ryszard; Nagle, Tadhg; Dobrzanski, Jaroslaw (IEEE, 2008)
      Only recently, researchers and practitioners alike have begun to fully understand the potential of eLearning and have concentrated on new tools and technologies for creating, capturing and distributing knowledge. In order ...
    • Implicit and explicit aspect extraction in financial microblogs 

      Gaillat, Thomas; Stearns, Bernardo; McDermott, Ross; Sridhar, Gopal; Zarrouk, Manel; Davis, Brian (Association for Computational Linguistics, 2018-07-15)
      This paper focuses on aspect extraction which is a sub-task of Aspect-based Sentiment Analysis. The goal is to report an extraction method of financial aspects in microblog messages. Our approach uses a stock-investment ...