Information extraction from text databases is a useful paradigm to populate relational tables and unlock the considerable value hidden in plain-text documents. However, information extraction can be expensive, due to various complex text processing steps necessary in uncovering the hidden data. There are a large number of text databases available, and not every text database is necessarily rele...

Combined text and relational database support is increasingly recognized as an emerging need of industry, spanning applications requiring text elds as parts of their data (e.g., for customer support) to those augmenting primary text resources by conventional relational data (e.g., for publication control). In this paper, we propose extensions to SQL that provide exible and eecient access to str...

Combined text and relational database support is increasingly recognized as an emerging need of industry, spanning applications requiring text elds as parts of their data (e.g., for customer support) to those augmenting primary text resources by conventional relational data (e.g., for publication control). In this paper, we propose extensions to SQL2 that provide exible and eecient access to st...

Nowadays, most business, administration, and/or scientific databases contain both structured attributes and text attributes. We call a database that consists of both multidimensional structured data and narrative text data as multidimensional text database. Searching, OLAP, and mining such databases pose many research challenges. To enhance the power of data analysis, interesting entities and r...

today a significant part of available data is saved in text database or text documents. the most important thing is to organize these documents. one way to organize text documents is to classify them. to classify texts is to assign text documents to their actual categories. this has two main steps, i.e. feature- and learning algorithm selection. there have been several methods suggested to clas...

internet advancement and publication of bibliographic and full text databases in this new medium by different providers and at the same time, increases in the expenditure of subscription to these databases, has caused libraries to be careful about which database(s) to subscribe and which ones not to. choosing the best version among different versions available has become very important. this ar...

Diphone Backoff mechanisms in text-to-speech provide a means of ensuring that synthesis of the text takes place, even if some of the diphones in the text are missing in the speech database. This paper describes an automatic method for synthetically creating missing diphones from halfphones that are in the speech database.

Similarity searching in text databases with multiple field types is still an open problem. We focus our attention on the “COmmunity Research and Development Information Service” (CORDIS) database of the European Union and we evaluate the effectiveness of many text retrieval methods in terms of precision, recall and ranking quality. Our experiments indicate that different field types should be h...

This paper addresses the task of aligning a database with a corresponding text. The goal is to link individual database entries with sentences that verbalize the same information. By providing explicit semantics-to-text links, these alignments can aid the training of natural language generation and information extraction systems. Beyond these pragmatic benefits, the alignment problem is appeali...

Molecular biology and literature databases represent essential infrastructure for life science research. Effective integration of these data resources requires that there are structured cross-references at the level of individual articles and biological records. Here, we describe the current patterns of how database entries are cited in research articles, based on analysis of the full text Open...