The hypothesis that information on the Web can be verified automatically, with minimal user interaction, will be tested by building and evaluating an interactive system. In this paper, verification is defined as a reasonable determination of the truth ...

This paper presents a new two-phase pattern (2PP) discovery technique for information extraction. 2PP consists of orthographic pattern discovery (OPD) and semantic pattern discovery (SPD) where the OPD determines the structural features from an ...

We introduce an emergent, collaborative filing system. In such a system, an individual is allowed to organize a subset of documents in a repository into a personal hierarchy and share the hierarchy with others. The system generates a "consensus" ...

We address the problem of integrating objects from a source taxonomy into a master taxonomy. This problem is not only currently pervasive on the web, but also important to the emerging semantic web. A straightforward approach to automating this process ...

This paper addresses the problem of automatically structuring heterogenous document collections by using clustering methods. In contrast to traditional clustering, we study restrictive methods and ensemble-based meta methods that may decide to leave out ...

Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI¹ , which uses explicitly modeling of the subspace structure associated with each cluster. ASI simultaneously ...

Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't generate clusters with highly readable names. In this paper, we reformalize the ...

In this paper, we propose a new data clustering method called concept factorization that models each concept as a linear combination of the data points, and each data point as a linear combination of the concepts. With this model, the data clustering ...

Most previous work on the recently developed language-modeling approach to information retrieval focuses on document-specific characteristics, and therefore does not take into account the structure of the surrounding corpus. We propose a novel ...

We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called "GaP" for Gamma-Poisson, the distributions of the first and last random variable. GaP is a factor model, that is ...

The exponential growth of data demands scalable infrastructures capable of indexing and searching rich content such as text, music, and images. A promising direction is to combine information re-trieval with peer-to-peer technology for scalability, ...

Chemoinformatics is the generic name for the techniques used to represent, store and process information about the two-dimensional (2D) and three-dimensional (3D) structures of chemical molecules [1, 2]. Chemoinformatics has attracted much recent ...

Within five years, our personal computers with terabyte disk drives will be able to store everything we read, write, hear, and many of the images we see including video. Vannevar Bush outlined such a system in his famous 1945 Memex article [1]. For the ...