Search Results - "Schwitter, Rolf"

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  1. 1

    A survey on real-time event detection from the Twitter data stream by Hasan, Mahmud, Orgun, Mehmet A, Schwitter, Rolf

    Published in Journal of information science (01-08-2018)
    “…The proliferation of social networking services has resulted in a rapid growth of their user base, spanning across the world. The collective information…”
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    Journal Article
  2. 2

    A survey on automatically constructed universal knowledge bases by Hossain, Bayzid Ashik, Salam, Abdus, Schwitter, Rolf

    Published in Journal of information science (01-10-2021)
    “…A universal knowledge base can be defined as a domain-independent ontology containing instances. Ontologies define the concepts and relations among these…”
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    Journal Article
  3. 3

    Real-time event detection from the Twitter data stream using the TwitterNews+ Framework by Hasan, Mahmud, Orgun, Mehmet A., Schwitter, Rolf

    Published in Information processing & management (01-05-2019)
    “…Detecting events in real-time from the Twitter data stream has gained substantial attention in recent years from researchers around the world. Different event…”
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    Journal Article
  4. 4
  5. 5

    The PENG super( )ASPsystem: architecture, language and authoring tool by Guy, Stephen C, Schwitter, Rolf

    Published in Language resources and evaluation (01-03-2017)
    “…(ProQuest: ... denotes formulae and/or non-USASCII text omitted; see image).In this article, we describe the architecture, the language and the authoring tool…”
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    Journal Article
  6. 6

    The PENG ASP system: architecture, language and authoring tool by Guy, Stephen C., Schwitter, Rolf

    Published in Language Resources and Evaluation (01-03-2017)
    “…In this article, we describe the architecture, the language and the authoring tool of the PENGASP system. This system supports the writing of nonmonotonic…”
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    Journal Article
  7. 7

    CREATING AND QUERYING FORMAL ONTOLOGIES VIA CONTROLLED NATURAL LANGUAGE by Schwitter, Rolf

    Published in Applied artificial intelligence (01-01-2010)
    “…Formal ontologies are difficult to read and understand for domain experts who do not have a background in formal logic. This severely restricts the ability of…”
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    Journal Article
  8. 8

    The PENGASP system: architecture, language and authoring tool by Guy, Stephen C., Schwitter, Rolf

    Published in Language resources and evaluation (01-03-2017)
    “…In this article, we describe the architecture, the language and the authoring tool of the PENG A S P system. This system supports the writing of non-monotonic…”
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    Journal Article
  9. 9
  10. 10

    OWL 2 learn profile: an ontology sublanguage for the learning domain by Heiyanthuduwage, Sudath R., Schwitter, Rolf, Orgun, Mehmet A.

    Published in SpringerPlus (08-03-2016)
    “…Many experimental ontologies have been developed for the learning domain for use at different institutions. These ontologies include different OWL/OWL 2 (Web…”
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    Journal Article
  11. 11

    Meaningful web annotations for humans and machines using controlled natural language by Schwitter, Rolf, Tilbrook, Marc

    Published in Expert systems (01-07-2008)
    “…: In this paper we present a novel approach that allows humans to create meaningful web annotations in controlled natural language. The controlled natural…”
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    Journal Article
  12. 12

    Specifying and Verbalising Answer Set Programs in Controlled Natural Language by Schwitter, Rolf

    Published 28-04-2018
    “…We show how a bi-directional grammar can be used to specify and verbalise answer set programs in controlled natural language. We start from a program…”
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    Journal Article
  13. 13

    English as a formal specification language by Schwitter, R.

    “…PENG is a computer-processable controlled natural language designed for writing unambiguous and precise specifications. PENG covers a strict subset of standard…”
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    Conference Proceeding
  14. 14

    A causal model for fluctuating sugar levels in diabetes patients by Chhogyal, Kinzang, Nayak, Abhaya, Schwitter, Rolf, Sattar, Abdul

    Published in Australasian medical journal (01-01-2012)
    “…BACKGROUNDCausal models of physiological systems can be immensely useful in medicine as they may be used for both diagnostic and therapeutic reasoning. AIMIn…”
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    Journal Article
  15. 15

    A causal model for fluctuating sugar levels in diabetes patients by Chhogyal, Kinzang, Nayak, Abhaya, Schwitter, Rolf, Sattar, Abdul

    Published in Australasian medical journal (2012)
    “…Causal models of physiological systems can be immensely useful in medicine as they may be used for both diagnostic and therapeutic reasoning. In this paper we…”
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    Journal Article
  16. 16

    Controlled Natural Language Processing as Answer Set Programming: an Experiment by Schwitter, Rolf

    Published 14-07-2014
    “…Most controlled natural languages (CNLs) are processed with the help of a pipeline architecture that relies on different software components. We investigate in…”
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    Journal Article
  17. 17

    Architecture of a Web-based Predictive Editor for Controlled Natural Language Processing by Guy, Stephen, Schwitter, Rolf

    Published 26-06-2014
    “…In this paper, we describe the architecture of a web-based predictive text editor being developed for the controlled natural language PENG$^{ASP)$. This…”
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    Journal Article
  18. 18

    A learning ontology with metadata and user profiles for enhancing accessibility of resources by Heiyanthuduwage, Sudath R., Schwitter, Rolf, Orgun, Mehmet A.

    “…Current e-learning systems are database-driven; this makes it hard for users to find information in a direct way using the domain terminology they are familiar…”
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    Conference Proceeding
  19. 19

    Dynamic semantics for a controlled natural language by Schwitter, R.

    “…In this paper the author present a dynamic approach for constructing an unambiguous semantic representation for a text written in a controlled natural language…”
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    Conference Proceeding
  20. 20

    ExtrAns: Extracting answers from technical texts by Molla, D., Schwitter, R., Rinaldi, F., Dowdall, J., Hess, M.

    Published in IEEE intelligent systems (01-07-2003)
    “…Describes the ExtrAns answer-extraction system which uses logical forms and lexical relations for semantic representation, to delve into and leverage the…”
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    Journal Article