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http://www.newbooks-services.de/MediaFiles/Texts/7/9783642165177_Excerpt_001.pdf
Chapter 2 Interactive Techniques to Support Ontology Matching Sean M. Falconer and Natalya F. Noy Abstract There are many automatic approaches for generating matches between ontologies and schemas. However, these techniques are far from perfect and when
https://link.springer.com/chapter/10.1007%2F978-3-642-16518-4_2
Dec 16, 2010 · In this chapter, we present some of the latest work related to human-guided ontology matching. Specifically, we discuss the cognitive difficulties users face with creating ontology matchings, the latest visual tools for assisting users with matching tasks, Web 2.0 approaches, common themes, challenges, and the next steps.Cited by: 62
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.689.1380
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract There are many automatic approaches for generating matches between ontologies and schemas. However, these techniques are far from perfect and when the use case requires an accurate matching, humans must be involved in the process. Yet, involving the users in creating matchings presents its own problems.
https://www.researchgate.net/publication/227007419_Schema_Matching_and_Mapping
Two of the tools in the suite support semi-automatic ontology merging: iPrompt is an interactive ontology-merging tool that guides the user through the merging process, presenting him with ...
http://www.dit.unitn.it/~pavel/OM/articles/Karampatakis_information_2018.pdf
The Alignment platform is a hybrid, interactive and collaborative ontology and entity matching service. A user-friendly GUI is offered in order to match two ontologies/vocabularies. The service can provide suggestions on the target entities, based on a default or user defined configuration of similarity measures and basic NLP procedures.
http://www.cs.ox.ac.uk/files/4801/LogMap_ecai2012.pdf
support interactive mapping diagnosis, they can only be used for a-posteriori mapping curation (i.e., not during the matching pro-cess), and they do not scale to large ontologies and mapping sets. The systems ASMOV [11], KOSIMap [22], CODI [10], and LogMap [12] …
https://www.sciencedirect.com/science/article/abs/pii/S1568494618304514
The technique that enables the user and the automatic ontology matching tool to cooperate with each other to generate high-quality alignments in a reasonable amount of time is referred to as the interactive ontology matching. Interactive ontology matching poses a new challenge in a way of how to efficiently leverage user validation to improve ...
https://link.springer.com/chapter/10.1007/978-3-642-38288-8_3
In this paper, we introduce a number of quality measures for interactive ontology matching tools, and we discuss means to automatically run benchmark tests for such tools. To demonstrate how those evaluation can be designed, we show examples on assessing the quality of interactive matching tools which involve the user in matcher selection and ...Cited by: 36
https://www.springer.com/us/book/9783642165177
The authors describe the state of the art by discussing the latest achievements such as more effective methods for matching data, mapping transformation verification, adaptation to the context and size of the matching and mapping tasks, mapping-driven schema evolution and …Price: $99
https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0215147
1 Interactive biomedical ontology matching framework. In this work, the proposed interactive biomedical ontology matching framework is shown in Fig 1.As can be sen from the figure, three working phases, i.e. initialization, ETS-based ontology matching, and user interaction, are outlined by dotted-line boxes.Author: Xingsi Xue, Zhi Hang, Zhengyi Tang
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