Matches in ScholarlyData for { ?s ?p ?o. }
- 70 hasAuthorList authorList.
- 70 hasTopic Annotation.
- 70 hasTopic Data.
- 70 hasTopic Knowledge_management.
- 70 hasTopic Performance_engineering.
- 70 hasTopic Scalability.
- 70 hasTopic Semantic_Web.
- 70 hasTopic Semantic_desktop.
- 70 isPartOf proceedings.
- 70 keyword "data model".
- 70 keyword "file annotations".
- 70 keyword "file systems".
- 70 keyword "infrastructure".
- 70 keyword "semantic desktop".
- 70 title "The Sile Model --- A Semantic File System Infrastructure for the Desktop".
- authorList type List.
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- authorList hasItem item-1.
- authorList hasItem item-2.
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- item-1 type ListItem.
- item-1 hasContent bernhard-schandl.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent bernhard-haslhofer.
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- 71 creator patrick-lambrix.
- 71 creator qiang-liu.
- 71 type InProceedings.
- 71 label "Using partial reference alignments to align ontologies".
- 71 sameAs 71.
- 71 abstract "In different areas ontologies have been developed and many of these ontologies contain overlapping information. Often we would therefore want to be able to use multiple ontologies. To obtain good results, we need to find the relationships between terms in the different ontologies, i.e. we need to align them. Currently, there already exist a number of ontology alignment systems. In these systems an alignment is computed from scratch. However, recently, some situations have occurred where a partial reference alignment is available, i.e. some of the correct mappings between terms are given or have been obtained. In this paper we investigate whether and how a partial reference alignment can be used in ontology alignment. We use partial reference alignments to partition ontologies, to compute similarities between terms and to filter alignment suggestions. We test the approaches on previously developed golden standards and discuss the results.".
- 71 hasAuthorList authorList.
- 71 hasTopic Ontology_%28computer_science%29.
- 71 hasTopic Ontology_alignment.
- 71 hasTopic Semantic_Web.
- 71 isPartOf proceedings.
- 71 keyword "Ontology Alignment".
- 71 keyword "partial reference alignment".
- 71 title "Using partial reference alignments to align ontologies".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
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- item-1 type ListItem.
- item-1 hasContent patrick-lambrix.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent qiang-liu.
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- 88 creator monika-solanki.
- 88 type InProceedings.
- 88 label "Towards an agent based approach for verification of OWL-S process models".
- 88 sameAs 88.
- 88 abstract "In this paper we investigate the transformation of OWL-S process models to ISPL - the system description language for MCMAS, a symbolic model checker for multi agent systems. We take the view that services can be considered as agents and service compositions as multi agent systems. We illustrate how atomic and composite processes in OWL-S can be encoded into ISPL using the proposed transformation rules for a restricted set of data types. As an illustrative example, we use an extended version of the BravoAir process model. We formalise certain interesting properties of the example in temporal-epistemic logic and present results from their verification using MCMAS.".
- 88 hasAuthorList authorList.
- 88 hasTopic Semantic_Web.
- 88 hasTopic Semantic_Web_Services.
- 88 hasTopic Test.
- 88 hasTopic Validation.
- 88 hasTopic Web_service.
- 88 isPartOf proceedings.
- 88 keyword "MCMAS".
- 88 keyword "OWL-S".
- 88 keyword "model checking".
- 88 keyword "multi agent systems".
- 88 keyword "verification".
- 88 title "Towards an agent based approach for verification of OWL-S process models".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasLastItem item-1.
- item-1 type ListItem.
- item-1 hasContent monika-solanki.
- 96 creator elena-paslaru-bontas-simperl.
- 96 creator igor-popov.
- 96 creator tobias-buerger.
- 96 type InProceedings.
- 96 label "ONTOCOM Revisited: Towards Accurate Cost Predictions for Ontology Development Projects".
- 96 sameAs 96.
- 96 abstract "Reliable methods to assess the costs and benefits of ontologies are an important instrument to demonstrate the tangible business value of semantic technologies within enterprises, as an argument to encourage their wide-scale adoption. The economic aspects of ontologies have been investigated in previous work of ours. With ONTOCOM we proposed a cost estimation model for ontologies and ontology development projects. This paper revisits this model and presents its latest achievements. We report on a comprehensive calibration of ONTOCOM based on a considerably larger data set of 148 ontology development projects. The calibration used a combination of statistical methods, ranging from preliminary data analysis to regression and Bayes analysis, and resulted a significant improvement of the prediction quality of up to 50%. In addition, the availability of a representative data set allowed us to identify meaningful directions for customizing the generic cost model along particular types of ontologies, and ontology-like structures as those specific to the emerging Web 3.0. Last but not least, we developed a software tool that allows ontology development project managers to easily use and adapt and to systematically calibrate the model, thus facilitating its adoption in real-world projects.".
- 96 hasAuthorList authorList.
- 96 hasTopic Cost.
- 96 hasTopic Evaluation.
- 96 hasTopic Model.
- 96 hasTopic Ontology_engineering.
- 96 hasTopic Semantic_Web.
- 96 isPartOf proceedings.
- 96 keyword "cost estimation".
- 96 keyword "ontology economics".
- 96 keyword "preliminary data analysis".
- 96 keyword "survey".
- 96 title "ONTOCOM Revisited: Towards Accurate Cost Predictions for Ontology Development Projects".
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