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Journal ArticleDOI

D-Lib Magazine: Publishing as the Honest Broker

Amy Friedlander, +1 more
- 01 Jan 1998 - 
- Vol. 33, pp 1-20
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TLDR
The importance of persistent, location-independent identifiers (or names) is discussed primarily from the perspectives of information organization and the associated issues in cataloging resources in the MARC environment.
Abstract
Summary This paper describes the organization of material in D-Lib Magazine http://www.dlib.org, an online reference collection of pointers to sites containing resources in networked information and digital libraries, and a monthly, which addresses developments in advanced research and implementation projects in digital libraries and related topics. The importance of persistent, location-independent identifiers (or names) is discussed primarily from the perspectives of information organization and the associated issues in cataloging resources in the MARC environment.

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Journal ArticleDOI

The FAIR Guiding Principles for scientific data management and stewardship

TL;DR: The FAIR Data Principles as mentioned in this paper are a set of data reuse principles that focus on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.
Journal ArticleDOI

Darwin Core: an evolving community-developed biodiversity data standard.

TL;DR: This paper describes the evolution and development of Darwin Core, a data standard for publishing and integrating biodiversity information, focusing on the categories of terms that define the standard, differences between simple and relational DarwinCore, how the standard has been implemented and the community processes that are essential for maintenance and growth of the standard.
Proceedings ArticleDOI

Two supervised learning approaches for name disambiguation in author citations

TL;DR: Two supervised learning approaches to disambiguate authors in the citations are investigated, one uses the naive Bayes probability model, a generative model; the other uses support vector machines (SVMs) and the vector space representation of citations, a discriminative model.
Proceedings ArticleDOI

Name disambiguation in author citations using a K-way spectral clustering method

TL;DR: An unsupervised learning approach using K-way spectral clustering that disambiguates authors in citations is proposed that utilizes three types of citation attributes: co-author names, paper titles, and publication venue titles.