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- item-1 hasContent johannes-lorey.
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- 40 creator patrick-lambrix.
- 40 creator valentina-ivanova.
- 40 type InProceedings.
- 40 label "A unified approach for aligning taxonomies and debugging taxonomies and their alignments".
- 40 sameAs 40.
- 40 abstract "With the increased use of ontologies in semantically-enabled applications, the issues of debugging and aligning ontologies has become increasingly important. The quality of the results of such applications is directly dependent on the quality of the ontologies and mappings between the ontologies they employ. A key step towards achieving high quality ontologies and mappings is discovering and resolving modeling defects, such as wrong or missing relations and mappings. In this paper we present a unified framework for aligning taxonomies, the most used kind of ontologies, and debugging taxonomies and their alignments, where ontology alignment is treated as a special kind of debugging. Our framework supports the detection and repairing of missing and wrong is-a structure in taxonomies, as well as the detection and repairing of missing (alignment) and wrong mappings between ontologies. Further, we implemented a system based on this framework and demonstrate its benefits through an experiment with ontologies from the Ontology Alignment Evaluation Initiative.".
- 40 hasAuthorList authorList.
- 40 isPartOf proceedings.
- 40 keyword "ontology alignment".
- 40 keyword "ontology debugging".
- 40 keyword "ontology engineering".
- 40 title "A unified approach for aligning taxonomies and debugging taxonomies and their alignments".
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- 43 creator paul-piwek.
- 43 creator richard-power.
- 43 creator sandra-williams.
- 43 creator tu-anh-t-nguyen.
- 43 type InProceedings.
- 43 label "Predicting the Understandability of OWL Inferences".
- 43 sameAs 43.
- 43 abstract "In this paper, we describe a method for predicting the understandability level of inferences with OWL. Specifically, we present a model for measuring the understandability of a multiple-step inference based on the measurement of the understandability of individual inference steps. We also present an evaluation study which confirms that our model works relatively well for two-step inferences with OWL. This model has been applied in our research on generating accessible explanations for an entailment of OWL ontologies, to determine the most understandable inference among alternatives, from which the final explanation is generated.".
- 43 hasAuthorList authorList.
- 43 isPartOf proceedings.
- 43 keyword "OWL".
- 43 keyword "Web Ontology Language".
- 43 keyword "deduction rule".
- 43 keyword "difficulty".
- 43 keyword "entailment".
- 43 keyword "explanation".
- 43 keyword "inference".
- 43 keyword "justification".
- 43 keyword "ontology".
- 43 keyword "understandability".
- 43 title "Predicting the Understandability of OWL Inferences".
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- item-1 hasContent tu-anh-t-nguyen.
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- 45 creator felix-naumann.
- 45 creator ziawasch-abedjan.
- 45 type InProceedings.
- 45 label "Synonym Analysis for Predicate Expansion".
- 45 sameAs 45.
- 45 abstract "Despite unified data models, such as Resource Description Framework (Rdf) on structural level and the corresponding query language SPARQL, the integration and usage of Linked Open Data faces major heterogeneity challenges on the semantic level. Incorrect use of ontology concepts and class properties impede the goal of machine readability and knowledge discovery. For example, users searching for movies with a certain artist cannot rely on a single given property "artist", because some movies may be connected to that "artist " by the predicate "starring". In addition, the information need of a data consumer may not always be clear and her interpretation of given schemata may differ from the intentions of the ontology engineer or data publisher. It is thus necessary to either support users during query formulation or to incorporate implicitly related facts through predicate expansion. To this end, we introduce a data-driven synonym discovery algorithm for predicate expansion. We applied our algorithm to various data sets as shown in a thorough evaluation of different strategies and rule-based techniques for this purpose.".
- 45 hasAuthorList authorList.
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- 45 keyword "data mining".
- 45 keyword "predicate analysis".
- 45 keyword "synonym discovery".
- 45 title "Synonym Analysis for Predicate Expansion".
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- item-1 hasContent ziawasch-abedjan.
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- 52 creator dominique-ritze.
- 52 creator heiko-paulheim.
- 52 creator sven-hertling.
- 52 type InProceedings.