A Fuzzy Ontology Framework for Customized Assessment of Semantic Similarity

The ability to estimate semantic similarity between entities in a meaningful way suiting the needs of a specific application is crucial for the success of any information system build using ontologies. As a result, ontology reutilization to this day has been limited, with most systems being accompanied by ontologies perfectly customized for the system\´s needs. In this work, we define "ontology application context\´\´ which allows us to separate the parts of the ontology that are general from those that need to be altered to fit a specific application\´s needs. Using this framework the same ontologies can be used in different situations, each time properly contextualized to the task in hand.