Amanote Research

Amanote Research

    RegisterSign In

What Should I Link To? Identifying Relevant Sources and Classes for Data Linking

Lecture Notes in Computer Science - Germany
doi 10.1007/978-3-642-29923-0_19
Full Text
Open PDF
Abstract

Available in full text

Categories
Computer ScienceTheoretical Computer Science
Date

January 1, 2012

Authors
Andriy NikolovMathieu d’AquinEnrico Motta
Publisher

Springer Berlin Heidelberg


Related search

Error Estimation in Linking Heterogeneous Data Sources

Health Informatics Journal
Health Informatics
2001English

Sources: What Every Librarian Should Know About Electronic Privacy

Reference and User Services Quarterly
Information SystemsLibraryInformation Sciences
2008English

What Should I Know About Packaging Chemicals?

Chemical and Engineering News
Chemical Engineering
1959English

Longitudinal Child Data: What Can Be Gained by Linking Administrative Data and Cohort Data?

International Journal of Population Data Science
2018English

Comparing Methods for Identifying Patients With Heart Failure Using Electronic Data Sources

BMC Health Services Research
Health Policy
2009English

Tactical Data Link – From Link 1 to Link 22

Scientific Bulletin of Naval Academy
2016English

My Patient’s Condition Could Affect Their Fitness to Drive. What Should I Do?

British Medical Journal
Medicine
2019English

“I Have Collected Qualitative Data; Now What Do I Do?” Approaches to Analysing Qualitative Data

Research and Review Insights
2017English

On Identifying Representative Relevant Documents

2010English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy