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The SemaDrift Protégé Plugin to Measure Semantic Drift in Ontologies: Lessons Learned
[chapter]
2017
Lecture Notes in Computer Science
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Semantic drift is an active research field, which aims to identify and measure changes in ontologies across time and versions. ...
Its applicability and usefulness are validated through two proof-of-concept scenarios in the domains of Web Services and Digital Preservation; especially the latter is a field where such long-term insights ...
In this work we adopt, implement and integrate the methods in [2] into a familiar application for knowledge engineers, targeting not only the lack of reproducible cross-domain metrics for semantic drift ...
doi:10.1007/978-3-319-58694-6_3
fatcat:rztzi2re6fejpakn6cqbcbj3r4
Semadrift: A Protégé Plugin For Measuring Semantic Drift In Ontologies
2017
Zenodo
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The paper presents the SemaDrift framework of tools and methods for measuring semantic drift across ontologies versions, which integrates currently investigated methods, such as text and structural similarity ...
Released under Apache V2 License, the proposed framework developed in the context of PERICLES is available for download from http://mklab.iti.gr/project/semadrift-measure-semantic-drift-ontologies ...
In this work we adopt, implement and integrate the methods in [2] into a familiar application for knowledge engineers, targeting not only the lack of reproducible cross-domain metrics for semantic drift ...
doi:10.5281/zenodo.345374
fatcat:ibfz6gshgre6xkcgvvj6fccwju
A Framework For Measuring Semantic Drift In Ontologies
2016
Zenodo
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Building upon and extending existing work, this paper presents a framework for measuring semantic drift in ontologies across time or multiple versions, using text and structural similarity methods to provide ...
Workshop on Semantic Change & Evolving Semantics (SuCCESS'16) organised by PERICLES partners to explore emerging research in the areas of semantic change and evolving semantics. ...
Results The proof-of-concept use case to measure semantic drift in the A&M domain was performed by feeding the extended SBA ontology versions, ordered by year, to the developed software tool. ...
doi:10.5281/zenodo.344911
fatcat:lpc6xr6rzzhjbdxez7ivj6evzq
Beware of the hierarchy - An analysis of ontology evolution and the materialisation impact for biomedical ontologies
2021
Journal of Web Semantics
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In the future, the impact measures introduced in this work can be used to investigate how aware the ontology editors are about consequences of changes. ...
To see these measures in action, we investigate the evolution and its impact on materialisation for nine open biomedical ontologies, most of which adhere to the EL ++ description logic. ...
We also thank the anonymous reviewers for their insightful feedback, and Luca Rossetto and Florian Ruosch for their comments and discussions. ...
doi:10.1016/j.websem.2021.100658
fatcat:epzlliglzbdwzcpfl4kqdgjoci
Beware of the hierarchy — An analysis of ontology evolution and the materialisation impact for biomedical ontologies
2021
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
In the future, the impact measures introduced in this work can be used to investigate how aware the ontology editors are about consequences of changes. ...
To see these measures in action, we investigate the evolution and its impact on materialisation for nine open biomedical ontologies, most of which adhere to the description logic. ...
We also thank the anonymous reviewers for their insightful feedback, and Luca Rossetto and Florian Ruosch for their comments and discussions. ...
doi:10.5167/uzh-206077
fatcat:4lswz73djjd2zdbu56urubjxdy
The Butterfly Effect in Knowledge Graphs: Predicting the Impact of Changes in the Evolving Web of Data
2019
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This research description proposes a unified methodology for predicting the impact of changes in evolving KGs and introduces an evaluation framework to assess the quality of these predictions. ...
This research description proposes a unified methodology for predicting the impact of changes in evolving KGs and introduces an evaluation framework to assess the quality of these predictions. ...
I want to recognize the help of my supervisor Prof. Abraham Bernstein, PhD and Dr. Daniele Dell'Aglio of the University of Zurich. ...
doi:10.5167/uzh-174974
fatcat:srzunzt5ura5pfgst4jyvzwc3e