Browsing Data Science Institute by Author "|~|SFI|~|"

Now showing items 1-20 of 32

    • The ACL RD-TEC: A Dataset for Benchmarking Terminology Extraction and Classification in Computational Linguistics 

      QasemiZadeh, Behrang; Handschuh, Siegfried (2014)
      This paper introduces ACL RD-TEC: a dataset for evaluating the extraction and classification of terms from literature in the domain of computational linguistics. The dataset is derived from the Association for Computational ...

    • Analyzing Social Behavior of Software Developers Across Different Communication Channels 

      Iqbal, Aftab (2013)
      Software developers use different project repositories (i.e., mailing list, bug tracking repositories, discussion forums etc.) to interact with each other or to solve software related problems. The growing interest in the ...

    • Architecture of Linked Data Applications 

      Heitmann, Benjamin; Cyganiak, Richard; Hayes, Conor; Decker, Stefan (CRC Press (Taylor & Francis), 2014)
      In this chapter, we first perform an empirical survey of RDF-based applications over most of the past decade, from 2003 to 2009. As the Linked Data principles where introduced in 2006, this allows us to describe the current ...

    • Benchmarking Domain-Specific Expert Search Using Workshop Program Committees 

      Bordea, Georgeta; Buitelaar, Paul (ACM, 2013)
      Traditionally, relevance assessments for expert search have been gathered through self-assessment or based on the opinions of co-workers. We introduce three benchmark datasets1 for expert search that use conference workshops ...

    • Developing a Dataset for Technology Structure Mining 

      QasemiZadeh, Behrang; Buitelaar, Paul; Monaghan, Fergal (IEEE, 2010)
      This paper describes steps that have been taken to construct a development dataset for the task of Technology Structure Mining. We have defined the proposed task as the process of mapping a scientific corpus into a ...

    • Domain-independent term extraction through domain modelling 

      Bordea, Georgeta; Buitelaar, Paul; Polajnar, Tamara (10th International Conference on Terminology and Artificial Intelligence, 2013-09-11)
      Extracting general or intermediate level terms is a relevant problem that has not received much attention in literature. Current approaches for term extraction rely on contrastive corpora to identify domain-specific terms, ...

    • An Eigenvalue-Based Measure for Word-Sense Disambiguation 

      Hulpus, Ioana; Hayes, Conor; Greene, Derek (FLAIRS 2012, 2012)
      Current approaches for word-sense disambiguation (WSD) try to relate the senses of the target words by optimizing a score for each sense in the context of all other words' senses. However, by scoring each sense separately, ...

    • Evaluation of Technology Term Recognition with Random Indexing 

      QasemiZadeh, Behrang; Handschuh, Siegfried (2014)
      In this paper, we propose a method that combines the principles of automatic term recognition and the distributional hypothesis to identify technology terms from a corpus of scientific publications. We employ the ...

    • 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 ...

    • A Framework for Personalised Learning-Plan Recommendations in Game-Based Learning 

      Hulpus, Ioana; Hayes, Conor (Springer, 2014)
      Personalised recommender systems receive growing attention from researchers of technology enhanced learning. The learning domain has a great need for personalisation as there is a general consensus that instructional ...

    • 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 ...

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

      Kamdar, MR; Iqbal, A; Saleem, M; Deus, HF; Decker, S (ISCB, 2014-02-28)
      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 ...

    • 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 ...

    • Investigating Context Parameters in Technology Term Recognition 

      QasemiZadeh, Behrang; Handschuh, siegfried (2014)
      We propose and evaluate the task of technology term recognition: a method to extract technology terms at a synchronic level from a corpus of scientific publications. The proposed method is built on the principles of ...

    • Kanopy: Analysing the Semantic Network around Document Topics 

      Hulpus, Ioana; Hayes, Conor; Karnstedt, Marcel; Greene, Derek; Jozwowicz, Marek (Springer, 2013)
      External knowledge bases, both generic and domain specific, available on the Web of Data have the potential of enriching the content of text documents with structured information. We present the Kanopy system that makes ...

    • Learning from Mistakes Results in Increase of Corporate Value 

      Koumpis, Adamantios (Kassel University Press GmbH, 2013)
      In the paper we approach the issue of learningfrom our mistakes from different schools of thought andwith the use of different epistemological metaphors such asthe intellectual capital. We pose emphasis to the relevance ...

    • On-the-Fly Adaptive Planning for Game-Based Learning 

      Hulpus, Ioana; Hayes, Conor (2010)
      In this paper, we present a model for competency development using serious games, which is underpinned by a hierarchical case-based planning strategy. In our model, a learner s objectives are addressed by retrieving a ...

    • Querying Phenotype-Genotype Associations across Multiple Knowledge Bases using Semantic Web Technologies 

      Iqbal, Aftab (2013)
      Biomedical and genomic data are inherently heterogeneous and their recent proliferation over the Web has demanded innovative querying methods to help domain experts in their clinical and research studies. In this paper we ...

    • Random Manhattan Indexing 

      QasemiZadeh, Behrang; Handschuh, Siegfried (2014)
      Vector space models (VSMs) are mathematically well-defined frameworks that have been widely used in text processing. In these models, high-dimensional, often sparse vectors represent text units. In an application, the ...

    • Random Manhattan Integer Indexing: Incremental L1 Normed Vector Space Construction 

      QasemiZadeh, Behrang; Handschuh, Siegfried (2014)
      Vector space models (VSMs) are mathematically well-defined frameworks that have been widely used in the distributional approaches to semantics. In VSMs, high-dimensional vectors represent linguistic entities. In an ...