Reacting to Unexpected Events and Communicating in Spite of Mixed Ontologies
MICAI '02 Proceedings of the Second Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Hierarchy as a new data type for qualitative variables
Expert Systems with Applications: An International Journal
Automatic Extraction of Pedagogic Metadata from Learning Content
International Journal of Artificial Intelligence in Education
XML based architectures for documents comparison, categorisation, and scrutinisation
International Journal of Data Analysis Techniques and Strategies
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A method of document comparison based on a hierarchical dictionary of topics (concepts) is described. The hierarchical links in the dictionary are supplied with the weights that are used for detecting the main topics of a document and for determining the similarity between two documents. The method allows for the comparison of documents that do not share any words literally but do share concepts, including comparison of documents in different languages. Also, the method allows for comparison with respect to a specific "aspect," i.e., a specific topic of interest (with its respective subtopics). A system Classifier using the discussed method for document classification and information retrieval is discussed.