Data What is Linked Data? The Semantic Web is a Web of Data — of dates and titles and part numbers and chemical properties and any other data one might conceive of. The collection of Semantic Web technologies (RDF, OWL, SKOS, SPARQL, etc.) provides an environment where application can query that data, draw inferences using vocabularies, etc. However, to make the Web of Data a reality, it is important to have the huge amount of data on the Web available in a standard format, reachable and manageable by Semantic Web tools. To achieve and create Linked Data, technologies should be available for a common format (RDF), to make either conversion or on-the-fly access to existing databases (relational, XML, HTML, etc). What is Linked Data Used For? Linked Data lies at the heart of what Semantic Web is all about: large scale integration of, and reasoning on, data on the Web. Examples Learn More Tim Berners-Lee's note on Linked Data gives a succinct description of the Linked Data principles.
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:
» Linked Data for the Uninitiated (Part 1) | DOCUMENTING CAPPADOCIA This two-part post is my follow-up to LAWDI 2012, officially known as the first Linked Ancient World Data Institute. It brought together a multi-disciplinary group of digital scholars at NYU’s Institute for the Study of the Ancient World (ISAW) whose interests incorporate the Ancient Medierranean and Near East. This essay is cross-posted on the GC Digital Fellows blog.* The Linked Data Cloud as of September 2011. In preparation for LAWDI 2012, I wrote a post called “Linked Data: A Theory,” pondering the concepts behind Linked Data, but it was clear to me from the beginning that I needed a more sturdy vocabulary and concrete skills in order to put these ideas into practice. Linked Data is a philosophy applied to web development. Linked Data is often incorporated into conversations about Open Access, a crucial movement intended to counteract academia’s traditional exclusionary practices by making scholarship freely available to the public. Open Data How the Web Operates
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.
Seeing Standards Poster of visualization (PDF, 36in x 108in) Metadata standard glossary, poster form (PDF, 36in x 41in) Metadata standard glossary, pamphlet form (PDF) The sheer number of metadata standards in the cultural heritage sector is overwhelming, and their inter-relationships further complicate the situation. This visual map of the metadata landscape is intended to assist planners with the selection and implementation of metadata standards. Each of the 105 standards listed here is evaluated on its strength of application to defined categories in each of four axes: community, domain, function, and purpose. The standards represented here are among those most heavily used or publicized in the cultural heritage community, though certainly not all standards that might be relevant are included. Content: Jenn Riley Design: Devin Becker Work funded by the Indiana University Libraries White Professional Development Award Copyright 2009-2010 Jenn Riley
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.
Une nouvelle norme pour le thésaurus (1) : Pourquoi une nouvelle no... 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.
Linked Data | Linked Data - Connect Distributed Data across the Web 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.