Columbus Documents: Summaries of Documents in Genoa

Clustering XML Documents Using Structural Summaries

This work presents a methodology for grouping structurally similar XML documents using clustering algorithms. Modeling XML documents with tree-like structures, we face the ‘clustering XML documents by structure’ problem as a ‘tree clustering’ problem, exploiting distances that estimate the similarity between those trees in terms of the hierarchical relationships of their nodes. We suggest the u...

Evaluating Summaries for Multiple Documents in an Interactive Environment

While most people have a clear idea of what a single document summary should look like, this is not immediately obvious for a multidocument summary. There are many new questions to answer concerning the amount of documents to be summarized, the type of documents, the kind of summary that should be generated, the way the summary gets presented to the user, etc. The many approaches possible to mu...

Generating Concise and Readable Summaries of XML Documents

XML has become the de-facto standard for data representation and exchange, resulting in large scale repositories and warehouses of XML data. In order for users to understand and explore these large collections, a summarized, bird’s eye view of the available data is a necessity. In this paper, we are interested in semantic XML document summaries which present the “important” information availabl...

Comparison of models based on summaries or documents towards extraction of update summaries

In this paper, we experiment with methods to extract sentences as summaries for a given cluster of documents. We construct background model(s) to capture information seen so far and use these model(s) to extract summary for current cluster. We propose two methods to construct these background models using documents seen so far and using summaries of previously seen document(s). We then compare ...

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