Abstract
The increasing number of documents returned by search engines for typical requests makes it necessary to look for new methods of representation of contents of the results, like document maps. Though visually impressive, doc maps (e.g. WebSOM) are extensively resource consuming and hard to use for huge collections. In this paper, we present a novel approach, which does not require creation of a complex, global map-based model for the whole document collection. Instead, a hierarchy of topic-sensitive maps is created. We argue that such approach is not only much less complex in terms of processing time and memory requirement, but also leads to a robust map-based browsing of the document collection.

URL:
http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2006-082

BibTeX:

@inproceedings{REWERSE-RP-2006-082,
	author = {Krzysztof Ciesielski and Mieczys\law A. K\lopotek},
	title = {Contextual Maps for browsing Huge Document Collections},
	booktitle = {Proceedings of 16th International Symposium on Methodologies for Intelligent Systems, Bari, Italy (27th--29th September 2006)},
	year = {2006},
	volume = {4203},
	series = {LNAI},
	pages = {713--722},
	url = {http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2006-082}
}