In this paper we present a development of our ontology alignment framework based on varying semantics of attributes. Emphasising the analysis of explicitly given descriptions of how attributes change meanings they entail while being included within different concepts have been proved useful. Moreover, we claim that it is consistent with the intuitive way how people see the real world and how they find similarities and correspondences between its elements. In this paper we concentrate on the issue of tracking changes that may occur within aligned ontologies and how these potential changes can influence the process of finding new mappings or validating ones that have already been found.
CITATION STYLE
Pietranik, M., Nguyen, N. T., & Orłowski, C. (2014). Increasing the efficiency of ontology alignment by tracking changes in ontology evolution. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8733, 394–403. https://doi.org/10.1007/978-3-319-11289-3_40
Mendeley helps you to discover research relevant for your work.