Dynamic Documents Indexing in Evolving Contexts

In this paper we consider similarity between documents in contexts defined by ontologies. Two documents have different similarity degree depending on the context in which they are considered. We consider a scenario where context evolves incrementally, necessitating continual revision of similarity measures between documents. We develop algorithms that revise similarity between documents concurrently with operations updating the ontology.