Matches in ScholarlyData for { ?s ?p ?o. }
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- item-1 hasContent thomas-meilender.
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- item-2 hasContent jean-lieber.
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- item-4 hasContent nicolas-jay.
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- 138 creator christian-stab.
- 138 creator dirk-burkhardt.
- 138 creator kawa-nazemi.
- 138 creator matthias-breyer.
- 138 type InProceedings.
- 138 label "Semantics Visualization for Fostering Search Result Comprehension".
- 138 sameAs 138.
- 138 abstract "Current search engines present search results in an ordered list even if semantic technologies are used for analyzing user queries and the document contents. The semantic information that is used during the search result generation mostly remains hidden from the user although it significantly supports users in understanding why search results are considered as relevant for their individual query. The approach presented in this paper utilizes visualization techniques for offering visual feedback about the reasons the results were retrieved. It represents the semantic neighborhood of search results, the relations between results and query terms as well as the relevance of search results and the semantic interpretation of query terms for fostering search result comprehension. It also provides visual feedback for query enhancement. Therefore, not only the search results are visualized but also further information that occurs during the search processing is used to improve the visual presentation and to offer more transparency in search result generation. The results of an evaluation in a real application scenario show that the presented approach considerably supports users in assessment and decision-making tasks and alleviates information seeking in digital semantic knowledge bases.".
- 138 hasAuthorList authorList.
- 138 isPartOf proceedings.
- 138 keyword "Information Visualization".
- 138 keyword "Search User Interface".
- 138 keyword "SemaVis".
- 138 keyword "Semantic Search".
- 138 keyword "Visual Query Enhancement".
- 138 title "Semantics Visualization for Fostering Search Result Comprehension".
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- item-1 hasContent christian-stab.
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- item-2 hasContent kawa-nazemi.
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- 162 creator alison-callahan.
- 162 creator michel-dumontier.
- 162 type InProceedings.
- 162 label "Evaluating scientific hypotheses using the SPARQL Inferencing Notation".
- 162 sameAs 162.
- 162 abstract "Integrating experimental data and claims from the literature with hypotheses is an essential activity for the life scientist. Such a task is increasingly challenging given the ever growing volume of publications and data sets. Towards addressing this challenge, we previously developed HyQue, a prototype system for hypothesis formulation and evaluation. HyQue uses domain-specific rule sets to evaluate hypotheses based on well understood scientific principles. However, because scientists may use differing scientific premises when exploring a hypothesis, flexibility is required in both crafting and executing rule sets to evaluate hypotheses. Here, we report on an extension of HyQue that incorporates rules specified using the SPARQL Inferencing Notation (SPIN). Hypotheses, background knowledge, queries, results and now rule sets are represented and executed using Semantic Web technologies, enabling users to explicitly trace a hypothesis to its evaluation, including the data and rules used by HyQue. We demonstrate the use of HyQue to evaluate hypotheses about the yeast galactose gene system.".
- 162 hasAuthorList authorList.
- 162 isPartOf proceedings.
- 162 keyword "SPARQL".
- 162 keyword "hypothesis evaluation".
- 162 keyword "linked data".
- 162 keyword "semantic web".
- 162 title "Evaluating scientific hypotheses using the SPARQL Inferencing Notation".
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- item-1 hasContent alison-callahan.
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- item-2 hasContent michel-dumontier.
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- 196 creator ansgar-scherp.
- 196 creator stefan-scheglmann.
- 196 creator steffen-staab.
- 196 type InProceedings.
- 196 label "Declarative Representation of Programming Access to Ontologies".
- 196 sameAs 196.
- 196 abstract "Using ontologies in software applications is a challenging task due to the chasm between the logics-based world of ontologies and the object-oriented world of software applications. The logics-based representation emphasizes the meaning of concepts and properties, i.e., their semantics. The modeler in the object-oriented paradigm also takes into account the pragmatics, i.e., how the classes are used, by whom, and why. To enable a comprehensive use of logics-based representations in object-oriented software systems, a seamless integration of the two paradigms is needed. However, the pragmatic issues of using logic-based knowledge in object oriented software applications has yet not been considered sufficiently. Rather, the pragmatic issues that arise in using an ontology, e.g., which classes to instantiate in which order, remains a task to be carefully considered by the application developer. In this paper, we present a declarative representation for designing and applying programming access to ontologies. Based on this declarative representation, we have build OntoMDE, a model-driven engineering toolkit that we have applied to several example ontologies. These ontologies have been selected in order to showcase the benefits of the our approach and the OntoMDE toolkit over a range of different ontology characteristics in terms of complexity, level of abstraction, degree of formalization, provenance, and domain-specificity.".
- 196 hasAuthorList authorList.
- 196 isPartOf proceedings.
- 196 keyword "mapping ontologies and object-oriented models".
- 196 keyword "model-driven engineering".
- 196 keyword "programming access to ontologies".
- 196 title "Declarative Representation of Programming Access to Ontologies".
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- item-1 hasContent stefan-scheglmann.
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