As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
Ontology alignment is a critical issue for semantic integration and data interoperability. Many basic matching techniques have been proposed, the crucial point is how to combine different techniques to adapt the diverse sources of ontology. In this paper, we proposed to use three matchers with multiple strategies from perspective of label, semantic and structural aspects of ontology. A rule-based pre-process for identifying the core word with part-of-speech (POS) tagging is carried out before matching. Method Analytic Hierarchy Process (AHP) is applied to aggregate different matching results dynamically and automatically. The intensity of importance is determined by three similarity indicators, which reflect the essential features of source ontologies. This proposed approach shows strong matching ability, which obtained high precision and outstanding evaluation results in benchmarking experiment.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.