Selecting the Best Cluster of a Collection of Technical Reports
نویسندگان
چکیده
Technical reports are an invaluable resource of information. They represent the work that is carried on by students or researchers in short periods of time. In order to maintain the organization of collections, this paper discusses how the structure and the terms of the collection can be used to select the best cluster for a new technical report. The collection is represented as a lightweight ontology which is a hierarchical structure that clusters similar documents in such a way that the documents of a k -level cluster share the k -terms of the cluster label. The ontology is used to get syntactic and semantic measures.
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تاریخ انتشار 2009