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The SemaDrift Protégé Plugin to Measure Semantic Drift in Ontologies: Lessons Learned [chapter]

Thanos G. Stavropoulos, Stelios Andreadis, Efstratios Kontopoulos, Marina Riga, Panagiotis Mitzias, Ioannis Kompatsiaris
2017 Lecture Notes in Computer Science  
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

Thanos G. Stavropoulos, Stelios Andreadis, Efstratios Kontopoulos, Marina Riga, Panagiotis Mitzias, Ioannis Kompatsiaris
2017 Zenodo  
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

Thanos G. Stavropoulos, Stelios Andreadis, Marina Riga, Efstratios Kontopoulos, Panagiotis Mitzias, Ioannis Kompatsiaris
2016 Zenodo  
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

Romana Pernisch, Daniele Dell'Aglio, Abraham Bernstein
2021 Journal of Web Semantics  
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

Romana Pernisch, Daniele Dell'Aglio, Abraham Bernstein
2021
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

Romana Pernischova
2019
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