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The Linking Open Data cloud diagram

The Linking Open Data cloud diagram
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CODE | Commercially Empowered Linked Open Data Ecosystems in Research Proposed: a 4-star classification-scheme for linked open cultural metadata at LODLAM One of the outcomes of last week’s LOD-LAM Summit was a draft document proposing a new way to assess the openness/usefulness of linked data for the LAM community. This is a work in progress, but is already provoking interesting debate on our options as we try to create a shared strategy. Here’s what the document looks like today, and we welcome your comments, questions and feedback as we work towards version 1.0. A 4 star classification-scheme for linked open cultural metadata Publishing openly licensed data on the Web and contributing to the Linked Open Data ecosystem can have a number of benefits for libraries, archives and museums. Driving users to your online content (e.g., by improved search engine optimization);Enabling new scholarship that can only be done with open data;Allowing the creation of new services for discovery;Stimulating collaboration in the library, archives and museums world and beyond. ★★★★ Public Domain (CC0 / ODC PDDL / Public Domain Mark) as a user: as a provider:

Welcome — LOD2 – Creating Knowledge out of Interlinked Data BIBFRAME - Bibliographic Framework Initiative (Library of Congress) Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history. History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.

Linked Data Tools Free Downloads Semantic Web Radically Open Cultural Heritage Data on the Web Jon Voss, We Are What We Do, United States Abstract What happens when hundreds of thousands of archival photos are shared with open licenses, then mashed up with geolocation data and current photos? Figure 1: Canvas, by Tim Wray. 1. In 2008, an independent technology consultant in San Francisco with a passion for local history set out to build a simple website that would allow the public to view historical photos on a map, regardless of where the photo was hosted. It was a working prototype and was successful in creating a view of place through time while drawing from disparate historical photo databases. But another problem was clearly evolving. I began dreaming of a database that others could contribute to and edit and use for their own projects, similar to Wikipedia. What’s more, a mashup culture (counter culture?) … and you’ve got all the ingredients for something pretty amazing. 2. For instance, in the commercial sector, there were already examples we could look to.

URIBurner Issue 7: LODLAM In this paper we present DIVE+, which aims to advance the way in which researchers and general audience interact with heterogeneous online heritage collections by allowing an integrated exploration of objects of these collections. Within the context of DIVE+, we developed various data enrichment and linking strategies, resulting in an interconnected dataset. We especially focus on events. Rather than restricting the type of events, we include named historical events (Second World War), unnamed historical events (The Dutch prime minister making new year’s speech) or personal events (Death of a person). This is in addition to person, concept and location-based enrichments, as events can be combined into event narratives as context for searching, browsing and presenting cultural heritage collection objects. User studies The design and strategies developed within DIVE+ are based on requirements gathered through extensive user studies in the Digital Humanities domain.

JSON-LD 1.0 5. Basic Concepts This section is non-normative. JSON [RFC4627] is a lightweight, language-independent data-interchange format. It is easy to parse and easy to generate. However, it is difficult to integrate JSON from different sources as the data has just local meaning. Example 1: Sample JSON document It's obvious to humans that the data is about a person whose name is "Manu Sporny" and that the homepage property contains the URL of that person's homepage. Linked Data, and the Web in general, uses IRIs (Internationalized Resource Identifiers as described in [RFC3987]) for unambiguous identification. Leveraging the well-known schema.org vocabulary, the example above could be unambiguously expressed as follows: Example 2: Sample JSON-LD document using full IRIs instead of terms In the example above, every property is unambiguously identified by an IRI and all values representing IRIs are explicitly marked as such by the @id keyword. 5.1 The Context Simply speaking, a context term definition .

Art Data Model Introduction The Linked Art Data Model is an application profile that can be used to describe cultural heritage resources, with a focus on artworks and museum-oriented activities. It defines common patterns and terms to ensure that the resulting data can be easily used and is based on real-world data and use cases. The model is currently under very active development in the community and the documentation is shifting to keep up with the current decisions. Model Fundamentals Following the existing norms of the community, our starting point consists of: These are then expanded on in order to fulfill shared use cases and common requirements, as they become known. Model Components The model can be treated as interlinking components that describe aspects of the events of interest. An index of all of the classes, properties and identities used: Index of Examples Scope and Process Development Process The desired target model for Linked Open Data in the Art domain is one with the following properties:

Documentation For Users · OpenRefine/OpenRefine Wiki Documentation hub for users Where to start? Love it so much? Join in with the development or help spread the meme about OpenRefine.Build OpenRefine From Source so you can play with all the latest and greatest features, but if you are not afraid of bugs. Essential: These are the features you'd use 80% of the time when you use Refine. Reconciliation: You can use the "reconciliation" support in Refine to link text names in your data to database identifiers (also known as database keys, IDs). Extensions: Add even more features to Refine by installing extensions. For complicated tasks that are commonly done, just follow recipes that other folks have discovered and written up. Recipes (like removing duplicate row values, etc.) and there are full recipes: Many tutorials and worked examples that illustrate project flow and the logic of using OpenRefine are collected under External Resources Glossary of Terms While there's a lot of information in this wiki, there's plenty more online too.

LODLAM – Linked Open Data in Libraries, Archives & Museums Explore Learning Resources by Competency – Linked Data for Professional Education Sign in or Join Log in Explore Learning Resources by Competency Browse by Competency How does this work? New Comp Index (620) View the full Competency Index Saved Sets of Learning Resources Competency-based Learning Maps To Explore Linked Data learning resources, select a competency assertion or topic statement in the adjacent panel to view a listing of associated learning resources. The Competency Index for Linked Data (CI) constitutes a set of topically arranged assertions of the knowledge, skills, and habits of mind required for professional practice in the area of Linked Data. This structure is illustrated in the adjacent panel. The CI on this page is is a work in progress.

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