Contextual Maps for browsing Huge Document Collections

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

Adaptive Document Maps

Abstract. As document map creation algorithms like WebSOM are computationally expensive, and hardly reconstructible even from the same set of documents, new methodology is urgently needed to allow to construct document maps to handle streams of new documents entering document collection. This challenge is dealt with within this paper. In a multi-stage process, incrementality of a document map is warranted. 1 . The architecture of the experimental system allows for comparative evaluation of different constituent technologies for various stages of the process. The quality of the map generation process has been investigated based on a number of clustering and classification measures. Some conclusions concerning the impact of incremental, topic-sensitive approach on map quality are presented

BEATCA: map-based intelligent navigation in WWW

Abstract. In our research work, we explore the possibility to exploit incremental, navigational maps to build visual search-and-recommendation system. Multiple clustering algorithms may reveal distinct aspects of the document collection, just pointing to various possible meanings, and hence offer the user the opportunity to choose his/her own most appropriate perspective. We hope that such a system would become an important step on the way to information personalization. The paper presents the architectural design of our system

Mining Document Maps

Abstract. This paper report on an ongoing research in improvement of WebSOM document clustering and presentation techniques. Several modifications of clustering techniques have been suggested and their impact on clustering of documents within the WebSOM framework has been investigated