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CODE4LIB  May 2017

CODE4LIB May 2017

Subject:

DCMI Webinar: How to Design & Build Semantic Applications with Linked Data

From:

DCMI Announce <[log in to unmask]>

Reply-To:

Code for Libraries <[log in to unmask]>

Date:

Fri, 19 May 2017 15:31:16 -0700

Content-Type:

text/plain

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********PLEASE EXCUSE THE CROSS-POSTING********

*How to Design & Build Semantic Applications with Linked Data*
*DCMI/ASIS&T Joint Webinar*

*=====================================================*
*:: Presenter:* Dave Clarke, Synaptica
*:: Time:* 10:00am - 11:15am EDT
   (UTC 14:00:00 - World Clock: http://bit.ly/Webinar-Clarke)
*:: Date: *Wednesday, 14 June 2017
*:: Registration: *http://dublincore.org/resources/training/#2017clarke
*=====================================================*

*ABOUT THE WEBINAR:*

This webinar will demonstrate how to design and build rich end-user search
and discovery applications using Linked Data. The Linked Open Data cloud is
a rapidly growing collection of publicly accessible resources, which can be
adopted and reused to enrich both internal enterprise projects and
public-facing information systems.

The webinar will use the Linked Canvas application as its primary use-case.
Linked Canvas is an application designed by Synaptica for the cultural
heritage community. It enables high-resolution images of artworks and
artifacts to be catalogued and subject indexed using Linked Data. The talk
will demonstrate how property fields and relational predicates can be
adopted from open data ontologies and metadata schemes, such as DCMI, SKOS,
IIIF and the Web Annotation Model. Selections of properties and predicates
can then be recombined to create Knowledge Organization Systems (KOS)
customized for business applications. The demonstration will also
illustrate how very-large-scale subject taxonomies and name authority
files, such as the Library of Congress Name Authority File, DBpedia, and
the Getty Linked Open Data Vocabularies collection, can be used for content
enrichment and indexing.

There will be a brief discussion of the general principles of graph
databases, RDF triple stores, and the SPARQL query language. This technical
segment will discuss the pros and cons of accessing remote server endpoints
versus cached copies of external Linked Data resources, as well as the
challenge of providing high-performance full text search against graph
databases.

The webinar will conclude by providing a demonstration of Linked Canvas to
illustrate various end-user experiences that can be created with Linked
Data technology: faceted search across data collections; pinch and zoom
navigation inside images; the exploration of concepts and ideas associated
with specific points of interest; the discovery of conceptually related
images; and the creation of guided tours with embedded audio-visual
commentary.

*ABOUT THE PRESENTER:*

*Dave Clarke* is co-founder and CEO of the Synaptica® group of companies,
providers of enterprise software solutions for knowledge organization and
discovery. He served on the authoring committee responsible for the 2005
version of the US national standard for controlled vocabularies, ANSI/NISO
Z39.19. Dave leads research and development at Synaptica, where is
developing an extensive range of software solutions for ontology
management, image management, Linked Data management, and text analytics.
He is actively involved in educational outreach programs including LD4PE,
the Linked Data for Professional Education initiative of DCMI. Synaptica
software solutions have attracted numerous international awards including:
Knowledge Management World magazine’s 100 Companies that Matter in KM and
Trend Setting Product of the Year (multiple awards between 2011 and 2017).
In 2016 Clarke was awarded the Knowledge Management Leadership Award by the
Global Knowledge Management Congress.  Dave is a Fellow of the Royal
Society of Arts, London, and an Associate of St. George’s House, Windsor
Castle. He is currently researching the impact of personalized search and
social media on social polarization and post-truth politics.

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