We describe the integration of a structured-text retrieval system (TextMachine) into an object-oriented database system (OpenODB). Our approach is a light-weight one, using the external function capability of the database system to encapsulate the text retrieval system as an external information source. Yet, we are able to provide a tight integration in the query language and processing; the us...

In Micro-blogging web services such as Twitter, the user is often bombarded with tons of information and raw data, with user unable to classify it into right category. The solution to overcome this problem can be derived from automatic text classification process. Social networking websites often limit their users to put up a short text message of length 140 characters only. Hence classifying t...

In order to facilitate and speed up the search of massive DNA databases, the database is indexed at the beginning, employing a mapping function. By searching through the indexed data structure, exact query hits can be identified. If the database is searched against an annotated DNA query, such as a known promoter consensus sequence, then the starting locations and the number of potential genes ...

In this paper we briefly describe the BioSec multimodal biometric database and analyze its use in automatic text-dependent speaker recognition research. The paper is structured into four parts: a short introduction to the problem of text-dependent speaker recognition; a brief review of other existing databases, including monomodal text-dependent speaker recognition databases and multimodal biom...

This paper presents an automatic segmentation scheme for cursive handwritten text lines using the transcriptions of the text lines and a hidden Markov model (HMM) based recognition system. The segmentation scheme has been developed and tested on the IAM database that contains offline images of cursively handwritten English text. The original version of this database contains ground truth for co...

For a variety of systems, such as expert systems, database systems, and problem• solving systems, text generation is one way for the system to communicate effectively with its users. This is particularly true when the system is likely to be used by a wide range of users with varying levels of expertise and background. In this paper I will show why explanation is a crucial feature of expert syst...

We present a novel, flexible, statistical approach to modeling music, images and text jointly. The technique is based on multi-modal mixture models and efficient computation using online EM. The learned models can be used to browse multimedia databases, to query on a multimedia database using any combination of music, images and text (lyrics and other contextual information), to annotate docume...

Many real-world applications increasingly involve both structured data and text. Hence, managing both in an efficient and integrated manner has received much attention from both the IR and database communities. To date, however, little research has been devoted to semantic issues in the integration of text and data. In this paper we introduced a problem in this realm: entity retrieval. Given da...