Link Domain Tools / Extras for Sherrill-Kenwood Free Library
The machine actionable data published in this Library Link domain lowers the cost and simplifies the development of a wide range of different applications designed to help libraries, staff and patrons alike. Here are just a few of the "extras" registered with this domain.
Bibframe resource types provide common control points to connect data in the Library and across the Web. Exposing these data via Data Filters and Identifier Services allows this data to be easily consumed by open source tools as Elasticsearch.
We love lists. Many organizations maintain lists for any number of reasons. But when these organization share their lists via Web standards we can view these through the actionable data available in the Library. In this case, these lists become something even far more useful. Here are just a few examples of some of the Living Lists available in this Library Link domain.
The New York Times Best Seller list is widely considered the preeminent list of best-selling books in the United States. Published weekly in The New York Times Book Review, the best-seller list has been published in the Times since October 12, 1931. In recent years it has evolved into multiple lists in different categories, broken down by fiction and non-fiction, hardcover, paperback and electronic, and different genres.
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The Library.Link Network has published over 100+ TB of RDF machine readable data designed to help Libraries, Museums, Archives and Historical Societies all over the world tell their story and connect to where their users are at - on the Web.
If HTML and the Web made all the online documents look like one huge book, RDF ... will make all the data in the world look like one huge database.
RDF is at the core of W3C's Data Web. It is the standard specifically designed to provide a way to produce and consume data on the Web. Exposing library data in an open and actionable manner frees this data from the applications that have traditionally managed it, allowing for new ways to integrate this with other web content, visualize and explore, analyze, compare, and enable intelligent agents to carry out tasks on behalf of users in new and useful ways. And that is just the start.
The Library.Link FAQ is an evolving place to learn more about applications built using the Library's Linked Data.