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Workshop Announcement - SKOS-2-HIVE: Creating SKOS vocabularies to Help Interdisciplinary Vocabulary Engineering

From: Craig Willis <craig.willis@unc.edu>
Date: Thu, 10 Feb 2011 08:22:52 -0500
Message-Id: <97E90D5E-4698-4CA8-B9D0-413D73D8C64F@unc.edu>
To: public-esw-thes@w3.org
[Apologies for cross-postings]

Workshop announcement:


George Washington University (Mt. Vernon Campus), March 9, 2011

Location: Eckles Library Auditorium, Mt. Vernon Campus of George  
Washington University (http://www.gelman.gwu.edu/eckles-library)

Click Here to Register: http://tinyurl.com/4masd7k


The SKOS-2-HIVE workshop focuses on using semantic web technologies  
for representing and describing collections using multiple controlled  
vocabularies. The workshop focuses on basic understanding and usage of  
W3C's Simple Knowledge Organization Systems (SKOS), linked data, and  
the HIVE library of open source applications.

There are two workshop components:

1. Foundational Concepts and HIVE Basics. This component addresses the  
conceptual design of structured vocabularies, including a range of  
semantic relationships; domain representation and issues central to  
identifying useful vocabularies; the application of basic SKOS tags;  
and basic techniques underlying the HIVE vocabulary server for  
enriching digital resource descriptions.

2. Implementing HIVE. This component covers more technical aspects  
including steps for implementing a HIVE server.

Workshop outlines and learning outcomes provided further below.

Workshop rationale: Semantic web technologies provide innovative means  
for organizing, describing, and managing digital resources in a range  
of formats. Successful implementation and use of semantic web  
technologies requires both information professionals and system  
developers to become knowledgeable about the underlying intellectual  
construct and roadmap toward forming a semantic web. The IMLS-funded  
Helping Interdisciplinary Vocabulary Engineering (HIVE) (https://www.nescent.org/sites/hive/Main_Page 
) project has been addressing these needs by working with the W3C's  
Simple Knowledge Organization Systems (SKOS) in the linked data  
environment. HIVE has been implemented using semantic web enabling  
technologies and machine learning to provide a solution to the  
traditional controlled vocabulary problems of cost, interoperability,  
and usability. Current HIVE vocabulary partners include the Library of  
Congress, the Getty Research Institute, and the U.S. Geological Survey.


Morning Session: Foundational Concepts and HIVE Basics, 9:00 AM-12:00 PM


This session addresses traditional thesaural concepts and the  
extension of these concepts via SKOS/linked data, HIVE and the  
semantic web.


This workshop targets information professionals (librarians,  
archivists, museum professional, web architects, and others); system  
developers; and students seeking knowledge about the basic framework  
and conceptual aspect of vocabulary design.


Have a basic understanding of subject metadata creation or subject  

*Learning Outcomes*

- Evaluate controlled vocabulary, thesauri, and ontologies that would  
best fit your information environment's needs.
- Identify basic thesaural relationships including: relative,  
associative and hierarchical.
- Use basic SKOS tags to identify the above thesaural relationships.
- Become familiar with using the HIVE software and the HIVE processes.

Lunch on your own 12:00 PM-1:00 PM

Afternoon Session: Implementing HIVE 1:00 PM-4:00 PM


This session provides details on the HIVE system, underlying  
algorithms, source code, and the library of system features.


System developers, as well as technologists, librarians, and  
information scientists who are interested in the technological side of  
the semantic web, and who may be implementing, experiments with, and/  
or extending HIVE technologies.


Java programming, and object oriented design.

*Learning Outcomes*

- Understand the architecture of the HIVE vocabulary server.
- Become familiar with information retrieval techniques and how HIVE  
applies them to vocabulary terms.
- Gain experience indexing documents with HIVE and KEA (a machine  
learning application).
- Learn how to integrate HIVE vocabulary services into other tools.
- Learn how to use the SPARQL language for querying content in HIVE.

*Registration fees and registration*

$60.00 half day (single session)
$105.00 full day (both sessions)

Registration fee includes: Coffee and Danishes from 8:00 AM-9:00 AM;  
does not include lunch.
Participants are asked to bring their own laptops.

Click Here to Register: http://tinyurl.com/4masd7k

** Wiki link for workshop: https://www.nescent.org/sites/hive/GWU_Workshop_2011

Workshop Leaders

Jane Greenberg is a professor at the School of Information and Library  
Science, University of North Carolina at Chapel Hill (SILS/UNC-CH),  
and director of the SILS Metadata Research Center.

Ryan Scherle is the lead data repository architect for Dryad at the  
National Evolutionary Synthesis Center (NESCent).

Hollie White is doctoral fellow at the SILS Metadata Research Center  
at the University of North Carolina at Chapel Hill.

Craig Willis is a graduate research assistant at the SILS Metadata  
Research Center at the University of North Carolina at Chapel Hill.
Received on Thursday, 10 February 2011 13:36:57 UTC

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