SILS Metadata Resource Center faculty and students will host a workshop at George Washington University on the Mt. Vernon campus on March 9, 2011. The workshop, titled, "SKOS-2-HIVE: Creating SKOS vocabularies to help interdisciplinary vocabulary engineering," focuses on using semantic Web technologies for representing and describing collections using multiple controlled vocabularies.
**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
§ 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, the Getty 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
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 cataloging.
- 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.
- 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.
** Wiki link for workshop: https://www.nescent.org/sites/
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.