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A Provenance-based Semantic Approach to Support Understandability, Reproducibility, and Reuse of Scientific Experiments
A Subjective Logic based Approach to Handling Inconsistencies in Ontology Merging
Accessing and Integrating Citizen Science Sensor Data: Evaluation of OGC Sensor Observation Service Implementations
ADOnIS: Managing Critical Zone Research Data Using Semantic Web Technologies
Automatic Facet Generation and Selection over Knowledge Graphs
Building Ontologies for Reuse – Lessons Learned from Unit Ontologies
Efficient Bounded Jaro-Winkler Similarity Based Search
Eleven years’ data of grassland management in Germany
Entity Extraction in the Ecological Domain – A practical guide
GMRs: Reconciliation of Generic Merge Requirements in Ontology Integration
Measuring Morphological Functional Leaf Traits From Digitized Herbarium Specimens Using TraitEx Software
On Using Subjective Logic to Build Consistent Merged Ontologies
Partitioning of BioPortal Ontologies: An Empirical Study
Semantic Relatedness as an Inter-Facet Metric for Facet Selection over Knowledge Graphs
Species Association Knowledge Graph Construction – A Demo Paper
Towards an ecological trait‐data standard
Towards Knowledge Graph Construction using Semantic Data Mining
GMRs: Reconciliation of Generic Merge Requirements in Ontology Integration
Title: | GMRs: Reconciliation of Generic Merge Requirements in Ontology Integration |
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Authors: | |
Source: | In Proceeding of the SEMANTICS 2019 Poster and Demo Track. |
Place: | http://ceur-ws.org/Vol-2451/ |
Date: | 2019-09-29 |
Type: | Poster |
Abstract: |
With growing popularity of ontologies as semantics-aware integration solutions, various ontology merging methods have been proposed. Each of them uses their own set of criteria to determine a desirable merge result. In this work, we first categorize these criteria into generic merge requirements (GMRs). Not all of these requirements can be met simultaneously. We argue that users should be able to select those requirements that are most important to them, but that system support is required to determine a compatible set of requirements based on user inputs. We propose a graph-theory based approach to determining such sets. |
URL: | http://ceur-ws.org/Vol-2451/ |