-----Original Message-----
From: [log in to unmask] [mailto:[log in to unmask]] On Behalf Of Richard Hill
Sent: Thursday, October 07, 2010 9:50 AM
To: [log in to unmask]; [log in to unmask]
Subject: [Sigcr-l] ASIST/ SKOS-2-HIVE
[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.=
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