[Asis-l] ASIST/ SKOS-2-HIVE

[Richard Hill]

[Posted by request.  Apologies for duplications.  Dick Hill]

Dublin Core/ASIST overlapping event:

SKOS-2-HIVE: Creating SKOS Vocabularies to Help Interdisciplinary Vocabulary
Engineering

Friday, October 22, 2010

Part 1, 8:30am-12:30pm, Part 2, 1:30pm-5:30pm, Register for both and save!
(seminar fee)  (see:
http://www.asis.org/asist2010/seminar-SKOS-2-HIVE-fri.html)

Semantic web technologies and approaches provide innovative means for
organizing, describing, and managing digital resources in a range of
formats, including digital data. 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. Also, imperative, is
the need to understand the capabilities promoted by semantic web enabling
technologies, and their potential impact in the workplace.

The IMLS-funded Helping Interdisciplinary Vocabulary Engineering (HIVE)
(https://www.nescent.org/sites/hive/Main_Page) project has been addressing
these needs and learning goals by working with the W3C's Simple Knowledge
Organization Systems (SKOS) (http://www.w3.org/2004/02/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. The HIVE vocabulary
server supports dynamic access to multiple SKOS encoded vocabularies
(maintained by vocabulary partners), and automatically generates subject
metadata, enriching resource descriptions with linked data vocabulary.

The SKOS-2-HIVE seminar focuses on using semantic web technologies for
representing and describing interdisciplinary collections, with a strong
emphasis on the basic understanding and usage of SKOS, linked data, and the
HIVE library of open source applications. Seminar components will address
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;
techniques underlying the HIVE vocabulary server for enriching digital
resource descriptions; and steps for implementing a HIVE server.

Part 1, 8:30am-12:30pm
Overview

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

Audience

This seminar targets information professionals (librarians, archivists,
museum professional, web architects, and others); system developers; and
students seeking knowledge about the basic framework and conceptual aspects
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.


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Part 2, 1:30pm-5:30pm
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.

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Presenters

Jane Greenberg, professor at the School of Information and Library Science,
University of North Carolina at Chapel Hill (SILS/UNC-CH)

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

Hollie White doctoral fellow at the University in the School of Information
and Library Science, Metadata Research Center, University of North Carolina
at Chapel Hill.

Fees
Part 1, 8:30am-12:30pm
Members $95, non-members $105, before Sept. 10, 2010
Members $105, non-members $115, after Sept. 10, 2010

Part 2, 1:30pm-5:30pm
Members $95, non-members $105, before Sept. 10, 2010
Members $105, non-members $115, after Sept. 10, 2010

Register for Both Parts 1 & 2, and Save!
Members $180, non-members $200, before Sept. 10, 2010
Members $200, non-members $220, after Sept. 10, 2010

Does not include lunch.=