  The methodology of context-sensitive access to e-documents considers context
as a problem model based on the knowledge extracted from the application
domain, and presented in the form of application ontology. Efficient access to
an information in the text form is needed. Wiki resources as a modern text
format provides huge number of text in a semi formalized structure. At the
first stage of the methodology, documents are indexed against the ontology
representing macro-situation. The indexing method uses a topic tree as a middle
layer between documents and the application ontology. At the second stage
documents relevant to the current situation (the abstract and operational
contexts) are identified and sorted by degree of relevance. Abstract context is
a problem-oriented ontology-based model. Operational context is an
instantiation of the abstract context with data provided by the information
sources. The following parts of the methodology are described: (i) metrics for
measuring similarity of e-documents to ontology, (ii) a document index storing
results of indexing of e-documents against the ontology; (iii) a method for
identification of relevant e-documents based on semantic similarity measures.
Wikipedia (wiki resource) is used as a corpus of e-documents for approach
evaluation in a case study. Text categorization, the presence of metadata, and
an existence of a lot of articles related to different topics characterize the
corpus.
