Workshop announcement:

**SKOS-2-HIVE: CREATING SKOS VOCABULARIES TO HELP INTERDISCIPLINARY VOCABULARY 
ENGINEERING**

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

Location: Eckles Library Auditorium, Mt. Vernon Campus of George Washington 
University

Click Here to Register (REGISTRATION CLOSES ON MARCH 1)
 

 

§  WORKSHOP DESCRIPTION

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) 
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, theGetty Research Institute, and the U.S. Geological 
Survey.

 

§  WORKSHOP OUTLINE AND LEARNING OUTCOMES

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

Overview

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

Audience

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.

Prerequisites

Have a basic understanding of subject metadata creation or subject cataloging.

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

Overview

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

Audience

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.

Prerequisites

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

 

 

** Wiki link for workshop: 
https://www.nescent.org/sites/hive/GWU_Workshop_2011#George_Washington_University_.28Mt._Vernon_Campus.29.2C_March_9.2C_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.
 

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