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Related Experiment Video

Updated: Jul 17, 2026

Pattern-based Search of Epigenomic Data Using GeNemo

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

Improving e-book access via a library-developed full-text search tool.

Jill E Foust¹, Phillip Bergen, Gretchen L Maxeiner

¹jef2@pitt.edu

Journal of the Medical Library Association : JMLA

|January 26, 2007

Summary

A new federated search tool allows users to find information across over 2,500 electronic book (e-book) titles. This innovative system provides integrated results and categorized groupings for efficient information retrieval.

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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

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Pattern-based Search of Epigenomic Data Using GeNemo

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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Area of Science:

Library and Information Science
Digital Humanities
Health Sciences Informatics

Background:

The Health Sciences Library System (HSLS) supports the University of Pittsburgh's medical programs and health system.
Effective access to digital resources is crucial for academic and health institutions.

Purpose of the Study:

To report the development of a novel tool for searching licensed full-text electronic book (e-book) collections.
To enhance information retrieval within large digital library resources.

Main Methods:

Development of a federated search tool using the Vivísimo XML-based environment.
Integration of over 2,500 e-book titles from seven key collections.
Implementation of a single query interface with categorized, integrated results.

Main Results:

A heuristic evaluation confirmed the tool's usability.
Web server log analysis indicated acceptable user engagement.
The tool successfully enables full-text searching across diverse e-book collections.

Conclusions:

The developed federated search tool is effective for large-scale e-book collection searching.
This project provides a strong foundation for future library-based federated search products.
The tool enhances access to critical information within health sciences e-book resources.