We present a novel system that helps nonexperts find sets of similar words. The user begins by specifying one or more seed words. The system then iteratively suggests a series of ...
Humans are very good at judging the strength of relationships between two terms, a task which, if it can be automated, would be useful in a range of applications. Systems attempti...
In this work, we present an extension of CORE [2], a tool for Collaborative Ontology Reuse and Evaluation. The system receives an informal description of a specific semantic domai...
This paper describes an unsupervised algorithm for placing unknown words into a taxonomy and evaluates its accuracy on a large and varied sample of words. The algorithm works by ï...
Existing efforts on ontology mapping, alignment and merging vary from methodological and theoretical frameworks, to methods and tools that support the semi-automatic coordination o...
Konstantinos Kotis, George A. Vouros, Kostas Sterg...