Matches in ScholarlyData for { ?s ?p ?o. }
- 186 creator stefan-dietze.
- 186 type InProceedings.
- 186 label "Conceptual Situation Spaces for Semantic Situation-Driven Processes".
- 186 sameAs 186.
- 186 abstract "Context-awareness is a highly desired feature across several application domains. Semantic Web Services (SWS) technologies address context-adaptation by enabling the automatic discovery of distributed Web services for a given task based on comprehensive semantic representations. Whereas SWS technology supports the allocation of resources based on semantics, it does not entail the discovery of appropriate SWS representations for a given situation. Describing the complex notion of a situation in all its facets through symbolic SWS representation facilities is a costly task which may never lead to semantic completeness and introduces ambiguity issues. Moreover, even though not any real-world situation completely equals another, it has to be matched to a finite set of parameter descriptions within SWS representations to enable context-adaptability. To overcome these issues, we propose Conceptual Situation Spaces (CSS) to facilitate the description of situation characteristics as members in geometrical vector spaces following the idea of Conceptual Spaces. CSS enable fuzzy similarity-based matchmaking between real-world situation characteristics and predefined situation descriptions. Following our vision, the latter are part of semantic Situation-Driven Process (SDP) descriptions, which define a composition of SWS Goals suitable to support the course of an evolving situation. Particularly, we refer to the WSMO approach for SWS. Consequently, our approach extends the expressiveness of WSMO by enabling the automatic discovery, composition and execution of achievable goals for a given situation. To prove the feasibility, we apply our approach to the domain of eLearning and provide a proof-of-concept prototype.".
- 186 hasAuthorList authorList.
- 186 hasTopic Collaborative_software.
- 186 hasTopic Data_integration.
- 186 hasTopic Electronic_business.
- 186 hasTopic Personalization.
- 186 hasTopic Search_engine.
- 186 hasTopic Semantic_Web.
- 186 hasTopic Semantic_Web_Services.
- 186 hasTopic Social_network.
- 186 isPartOf proceedings.
- 186 keyword "conceptual spaces".
- 186 keyword "semantic web services".
- 186 keyword "semantic web".
- 186 keyword "web services".
- 186 keyword "wsmo".
- 186 title "Conceptual Situation Spaces for Semantic Situation-Driven Processes".
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- item-1 hasContent stefan-dietze.
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- item-2 type ListItem.
- item-2 hasContent alessio-gugliotta.
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- item-3 type ListItem.
- item-3 hasContent john-domingue.
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- 188 creator antoine-isaac.
- 188 creator claus-zinn.
- 188 creator henk-matthezing.
- 188 creator lourens-van-der-meij.
- 188 creator shenghui-wang.
- 188 creator stefan-schlobach.
- 188 type InProceedings.
- 188 label "Putting ontology alignment in context: usage scenarios, deployment and evaluation in a library case".
- 188 sameAs 188.
- 188 abstract "Thesaurus alignment plays an important role in realising efficient access to heterogeneous Cultural Heritage data. Current ontology alignment techniques, however, provide only limited value for such access as they consider little if any requirements from realistic use cases or application scenarios. In this paper, we focus on two real-world scenarios in a library context: thesaurus merging and book re-indexing. We identify their particular requirements and describe our approach of deploying and evaluating thesaurus alignment techniques in this context. We have applied our approach for the Ontology Alignment Evaluation Initiative, and report on the performance evaluation of participants’ tools wrt. the application scenario at hand. It shows that evaluations of tools requires significant effort, but when done carefully, brings many benefits.".
- 188 hasAuthorList authorList.
- 188 hasTopic Ontology_%28computer_science%29.
- 188 hasTopic Ontology_alignment.
- 188 hasTopic Semantic_Web.
- 188 isPartOf proceedings.
- 188 keyword "evaluation".
- 188 keyword "ontology alignment".
- 188 keyword "thesaurus alignment".
- 188 keyword "usage scenarios".
- 188 title "Putting ontology alignment in context: usage scenarios, deployment and evaluation in a library case".
- authorList type List.
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- item-1 type ListItem.
- item-1 hasContent antoine-isaac.
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- item-2 type ListItem.
- item-2 hasContent henk-matthezing.
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- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent lourens-van-der-meij.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent stefan-schlobach.
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- item-4 previous item-3.
- item-5 type ListItem.
- item-5 hasContent shenghui-wang.
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- item-6 type ListItem.
- item-6 hasContent claus-zinn.
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- 199 creator danica-damljanovic.
- 199 creator kalina-bontcheva.
- 199 creator valentin-tablan.
- 199 type InProceedings.
- 199 label "A Natural Language Query Interface to Structured Information".
- 199 sameAs 199.
- 199 abstract "Accessing structured data such as that encoded in ontologies and knowledge bases can be done using either syntactically complex formal query languages like SPARQL or complicated form interfaces that require expensive customisation to each particular application domain. This paper presents the QuestIO system { a natural language interface for accessing structured information, that is domain independent and easy to use without training. It aims to bring the simplicity of Google's search interface to conceptual retrieval by automatically converting short conceptual queries into formal ones, which can then be executed against any semantic repository. QuestIO was developed specifically to be robust with regard to language ambiguities, incomplete or syntactically ill-formed queries, by harnessing the structure of ontologies, fuzzy string matching, and ontology-motivated similarity metrics.".
- 199 hasAuthorList authorList.
- 199 hasTopic Natural_language_processing.
- 199 hasTopic Ontology_%28computer_science%29.
- 199 hasTopic SPARQL.
- 199 hasTopic Search_engine.