Ontologies are often used as a means of describing knowledge and the domain of operation of modern applications. S need arises for the ability to quickly match those ontologies to enable interoperability of such systems. This paper presents an extension to Noy and McGuiness ontology construction methodology which should improve ontology interoperability and a lexicon-based algorithm for merging and aligning of such ontologies stored...

It is beneficial to annotate sensor data with distinct sensor ontologies in order to facilitate interoperability among different sensor systems. However, for this interoperability to be possible, comparable sensor ontologies are required since it is essential to make meaningful links between relevant sensor data. Swarm Intelligent Algorithms (SIAs), namely the Beetle Swarm Optimisation Algorithm (BSO), present a possible answer...

This paper concerns formulating ontology queries. It describes existing languages in which ontologies can be queried. It focuses on languages which are intended to be easily understood by users who are willing to retrieve information from ontologies. Such a language can be, for example, a type of controlled natural language (CNL). In this paper a novel algorithm called Ontology Clustering by Directions is presented. The algorithm...

Ontologie bardzo często są reprezentowane w postaci grafu, którego wierzchołkami są obiekty występujące w prezentowanej ontologii a krawędziami relacje i powiązania pomiędzy tymi obiektami. Grafy reprezentujące ontologie mogą być złożone już dla średniego rozmiaru ontologii. Stąd niezbędna jest pełna i czytelna reprezentacja elementów takiego grafu. Dostępne rozwiązania zazwyczaj nie oferują reprezentacji pełnego zbioru elementów...