Matches in ScholarlyData for { ?s ?p ?o. }
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- item-1 hasContent richard-hosking.
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- item-2 hasContent mark-gahegan.
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- paper-29 type InProceedings.
- paper-29 label "Utilising Provenance to Enhance Social Computation".
- paper-29 sameAs paper-29.
- paper-29 abstract "Many online platforms employ networks of human workers to perform computational tasks that can be difficult for a machine (e.g. reporting travel disruption). Such systems have to make a range of decisions, for example, selection of suitable workers for a task. In this paper we present an approach that utilises Semantic Web technologies and provenance to support such decision-making processes.".
- paper-29 hasAuthorList authorList.
- paper-29 isPartOf proceedings-2.
- paper-29 title "Utilising Provenance to Enhance Social Computation".
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- item-1 type ListItem.
- item-1 hasContent milan-markovic.
- paper-30 type InProceedings.
- paper-30 label "Crowdsourcing Ontology Verification".
- paper-30 sameAs paper-30.
- paper-30 abstract "As the scale and complexity of ontologies increases, so too do errors and engineering challenges. It is frequently unclear, however, to what degree extralogical ontology errors negatively affect the application that the ontology underpins. For example, “Shoe SubClassOf Foot” may be correct logically, but not in a human interpretation. Indeed, such errors, not caught by reasoning, are likely to be domain-specific, and thus identifying salient ontology errors requires consideration of the domain. There are both automated and manual methods that provide ontology quality assurance. Nevertheless, these methods do not readily scale as ontology size increases, and do not necessarily identify the most salient extralogical errors. Recently, crowdsourcing has enabled solutions to complex problems that computers alone cannot solve. For instance, human workers can quickly and more accurately identify objects in images at scale. Crowdsourcing presents an opportunity to develop methods for ontology quality assurance that overcome the current limitations of scalability and applicability. In this work, I aim (1) to determine the effect of extralogical ontology errors in an example domain, (2) to develop a scalable framework for crowdsourcing ontology verification that overcomes current ontology Q/A method limitations, and (3) to apply this framework to ontologies in use. I will then evaluate the method itself and also its effect in the context of a specific domain. As an example domain, I will use biomedicine, which applies many large-scale ontologies. Thus, this work will enable scalable quality assurance for extralogical errors in biomedical ontologies.".
- paper-30 hasAuthorList authorList.
- paper-30 isPartOf proceedings-2.
- paper-30 title "Crowdsourcing Ontology Verification".
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- item-1 hasContent jonathan-mortensen.
- paper-31 type InProceedings.
- paper-31 label "Interactive Pay as you go Relational-to-Ontology Mapping".
- paper-31 sameAs paper-31.
- paper-31 abstract "Ontology Based Data Access (OBDA) enables access to relational data with a complex structure through ontologies as conceptual domain models. To this end, mappings are required. A key aim of OBDA is to facilitate access to data with a complex structure. Ironically, though, in today’s existing OBDA systems mappings typically need to be compiled by hand, which is a complex and labor intensive task. Additionally, existing semi-automatic mapping approaches suffer from high human effort for cleaning up results. Fully automatic approaches, on the other side, suffer from a lack of precision and/or recall. In setups where the correctness of query results is crucial but the initial human effort must still be kept be small as possible, neither approach is acceptable. This situation calls for a guided, pay as you go feedback process for human mapping validation. We envision a comprehensive suite of methods and techniques that work well with one another in a seamless mapping process and support mapping construction in the context of OBDA. This suite will in part consist of a recombination and adaptation of various existing methods, but will also comprise newly devised algorithms and techniques.".
- paper-31 hasAuthorList authorList.
- paper-31 isPartOf proceedings-2.
- paper-31 title "Interactive Pay as you go Relational-to-Ontology Mapping".
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- item-1 type ListItem.
- item-1 hasContent christoph-pinkel.
- 1 creator daniel-sonntag.
- 1 creator renata-dividino.
- 1 type InProceedings.
- 1 label "Controlled Ontology Evolution through Semiotic-based Ontology Evaluation".
- 1 sameAs 1.
- 1 abstract "Ontology evaluation is an important issue that must be addressed during the lifecycle of an ontology because it assures that the ontology reflects the desired requirements during selection, design, population, evolution, usage, or other processes of the ontology lifecycle. Ontology evaluation aims at assessing the quality and the adequacy of an ontology from the point of view of a particular predefined criterion, for use in a specific context, for a specific purpose. Here, we demonstrate that evaluation is an important issue for ontology evolution. To capture the different nature of evaluation and evolution criteria, we use a tool (S-OntoEval) aiming at assessing ontology quality by implementing existing quality metrics that draw upon semiotic theory. An evaluation of the SWIntO ontology of the SmartWeb project shows its controlled evolution by quality measurement and improvement.".
- 1 hasAuthorList authorList.
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- 1 title "Controlled Ontology Evolution through Semiotic-based Ontology Evaluation".
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- item-1 type ListItem.
- item-1 hasContent renata-dividino.
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- item-2 hasContent daniel-sonntag.
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- 2 creator jon-atle-gulla.
- 2 creator vijayan-sugumaran.
- 2 type InProceedings.
- 2 label "An Ontology Creation Methodology: A Phased Approach".
- 2 sameAs 2.
- 2 abstract "Existing ontology construction workbenches have severe limitations in creating ontologies from representative text collections. This paper presents a new workbench-supported ontology creation methodology that is specially designed for non-ontology experts with little knowledge of semantic markup languages. The workbench generates OWL models and is implemented as part of a search project for the entertainment domain. New techniques are gradually being added to the workbench, and early testing indicates that the ontology creation approach can be used by domain experts without much guidance from ontology experts.".
- 2 hasAuthorList authorList.
- 2 isPartOf proceedings.
- 2 keyword "Ontologies".
- 2 keyword "Ontology Creation".
- 2 keyword "Semantic Web".
- 2 keyword "Text Mining".
- 2 title "An Ontology Creation Methodology: A Phased Approach".
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- authorList hasFirstItem item-1.
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- item-1 hasContent jon-atle-gulla.
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- item-2 hasContent vijayan-sugumaran.
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- 3 creator marcelo-falappa.
- 3 creator martin-moguillansky.
- 3 creator nicolas-rotstein.
- 3 type InProceedings.
- 3 label "A Theoretical Model to Handle Ontology Debugging & Change Through Argumentation".
- 3 sameAs 3.
- 3 abstract "A dynamic argumentation framework based on ALC description logics is presented by extending notions from argumentation. Since argumentation frameworks reason over graphs that relate arguments through attack, a methodology is proposed to bridge ontology-specific concepts to argumentation notions. In this way, inconsistency in the former will be represented as an attack in the latter. This approach benefits from (argumentation) acceptability semantics to restore consistency to ontologies. Finally, a model of ontology change is presented along with a rational characterization.".
- 3 hasAuthorList authorList.
- 3 isPartOf proceedings.
- 3 title "A Theoretical Model to Handle Ontology Debugging & Change Through Argumentation".