Improving bio-ontologies matching using types and adaptive weights

This have motivated us to develop an ontology enti- tled Imaging Biomarker Ontology (IBO) to formally define basic aspects related to the imaging biomarker concept.. IBO is founded

The geometry, lexical and cardinality checking are all necessary, since different geospatial individuals may share the same label or the same location in an ontology, and a

We leave dedicated ontology languages like OWL and OBO to represent the knowledge of a field of interest, and use a more lightweight vocabulary, namely SKOS, to capture

Mapping a restriction class from one source with a union of smaller restriction classes from the other source Since the problem of finding alignments with conjunctions and

The final expression for the Noether charge must contain only terms linear in a and a † (it cannot mix states with different particle content) because, since it is a conserved

This paper contributes by presenting a novel concept of a Network of Ontologies Matcher approach.The proposal was implemented in a prototype to show its feasibility and con- firm

Be- cause these contexts and situations involve deontic notions, properly modeling deontic concepts requires at once modeling several auxiliary entities and relations.. Current

of the process model matching contests in 2013 and 2015 [1, 3] demonstrate that state-of-the-art matchers achieve a low effectiveness when applied to real-world model collections..