The project Linked Data for Professional Education (LD4PE), funded between 2014 and 2017 by the Institute of Museum and Library Studies (IMLS) and lead by the University of Washington Information School, developed a web-based exploratorium to support structured discovery of online learning resources about Linked Data. The project produced this website, which has been converted into a static site for preservation, and a Linked Data Competency Index. DCMI will keep this site online on a "best effort" basis as long as resources permit. The Internet Archive's Wayback Machine should be regarded as the source of archival copies for the long term.

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Replacing old version of comp index.

RDF and Logic: Reasoning and Extension

This paper explores embedding the various kinds of RDF entailment in F-Logic. It shows that the embedding of simple, RDF, and RDFS entailment, as well [...]

By |September 15th, 2015|Comments Off on RDF and Logic: Reasoning and Extension

Linked Enterprise Data: Business Scenarios

Shortcomings in the availability, reliability, and quality of internal enterprise data can lead to the loss of a competitive advantage. Most tools currently used to [...]

By |September 15th, 2015|Comments Off on Linked Enterprise Data: Business Scenarios

Expressive Languages for Querying the Semantic Web

SPARQL 1.1 was recently released, which includes entailment regimes for RDFS and OWL vocabularies and a mechanism to express navigation patterns through regular expressions. Unfortunately, [...]

By |September 15th, 2015|Comments Off on Expressive Languages for Querying the Semantic Web

Driving Business Value with Linked Enterprise Data

This presentation shows how Linked Enterprise Data can not only streamline an infrastructure but also enable automatic information logistics to combine process management and information [...]

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Knowledge Graph Identification

Large-scale information processing systems are able to extract massive collections of interrelated facts, but unfortunately transforming these candidate facts into useful knowledge is a formidable [...]

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From Linked Data to Networked Knowledge

This lecture briefly covers the history of human communication up to the present day and then seeks to answer the question, "How best can we [...]

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Real-time RDF Extraction from Unstructured Data Streams

Most of the Web of Data is limited to a large compendium of encyclopedic knowledge describing entities. The timely and massive extraction of RDF facts [...]

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Learning from the Masters: Understanding Ontologies found on the Web (Part 1)

The purpose of this presentation was to help conference attendees gain sufficient experience of working with OWL and tools (e.g., the Swoop ontology editor/browser) to [...]

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Discovering Missing Semantic Relations Between Entities in Wikipedia

Wikipedia’s infoboxes contain rich structured information of various entities, which have been exploited by the DBpedia project to generate large-scale Linked Data datasets. Among all [...]

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Suggesting Mappings from Relational Databases to Ontologies

This video discusses the CONTOMAP project, which seeks to solve the problem of mapping from relational databases to ontologies. Several possible approaches are outlined: naive, [...]

By |September 15th, 2015|Comments Off on Suggesting Mappings from Relational Databases to Ontologies