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Puede ver esta información también en español.

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

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(This Workshop is also offered in Spanish)


Description of the workshop

The SKOS-2-HIVE workshop targets the use of 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.

PART 1: Foundational Concepts and HIVE Basics 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.

PART 2: Implementing HIVE covers more technical aspects of HIVE, including steps for implementing a HIVE server, an overview of the underlying algorithm, and more hands on activities (details and learning outcomes 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. HIVE vocabulary partners include the Library of Congress, the Getty Research Institute, the U.S. Geological Survey, and the National Library of Spain

Place and location

June 19th, 2012, 10:00 AM to 18:00 PM

Rooms: 14.1.07 / 14.1.08.

University Carlos III of Madrid Getafe (Madrid), Spain | Map

You can see more practical information here


Participation is free and open. Registration is required. Please register soon Here. (Additionally, 18 June 2012, there is a Symposium)

This workshop will be hands-on, so no virtual attendance would be possible. Sorry for the inconveniences.


This workshop is information professionals (librarians, archivists, museum professional, web architects, and others); system developers; technologists/computer scientists, and students seeking knowledge about the basic framework and conceptual aspect of vocabulary design. Attendees may also have an interest in technical aspects of the semantic web, and in implementing and/or experimenting with technologies.



Have a basic understanding of subject metadata creation, indexing, or subject cataloging, and an interest in or experience working with vocabularies.

Recommended Pre-Readings


  • Summers, E., Isaac, A., Redding, C., & Krech, D. (2008). LCSH, SKOS and Linked Data. Proc. Int’l Conf. on Dublin Core and Metadata Applications 2008. [1].

On Linked Open Data:

  • Bizer, C., Heath, T., & Berners-Lee, T. (2009). Linked Data-The Story So Far. International Journal on Semantic Web and Information Systems, 5(3). [2].


Workshop materials

Workshop presentation (English Version) Download.

Workshop activities (English Version): Website


Workshop outline and learning outcomes

Note: Program's content and times may be subject to changes.

Timespan Activity / Contents
9:30-10:00 Registration
10:00-10:15 Welcome. HIVE-ES team and Dra. Jane Greenberg.


PART 1: Foundational Concepts and HIVE Basics

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

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.
  • Experiment with applications for creating SKOS vocabularies; and create a small vocabulary.

A. Introduction to KOS and HIVE

  • 1.1. Introduction to Knowledge Organization Systems (purpose, history, types)
  • 1.2. KOS and information needs (uses of KOS for different purposes, examples, cases)
  • Activity 1: Reflection and discussion.
  • 1.3. Introduction to HIVE and what it does with KOS.

B. From Thesauri to SKOS

  • 1.4. Introduction to thesauri (definition, standards, structure and relationships). TemaTres
Activity 2: Building thesauri.
  • 1.5. Introduction to XML and RDF for encoding SKOS.
  • 1.6. Conceptualizing SKOS.
11:30-11:50 Coffee break (2nd floor hall)
11:50-13:00 B. From Thesauri to SKOS (cont.)
  • 1.7. Creating or obtaining vocabularies in SKOS.
Activity 3: Encoding a thesaurus in SKOS/XML and SKOS/RDF: hand-coding, templates and thesaurus managers (Tematres/Poolparty).
13:00-13:30 Invited Talk

OpenAgris: interlinking datasets and automatic indexing.

Fabrizio Celli (FAO).

13:30-15:00 Lunch break (not provided by the organization)


PART 2: HIVE: Design and features

Overview: This session provides details on the HIVE system, an overview of the underlying algorithm, and more hands-on exercises with SKOS vocabulary creation and a HIVE system.

Learning Outcomes

  • Become familiar with using the HIVE software and the HIVE processes.
  • Understand the architecture of the HIVE vocabulary server.
  • Gain a basic understanding of how information retrieval techniques have been applied to HIVE, including machine learning.
  • Review the implementation procedures of a HIVE vocabulary service.
  • Integrate a SKOS vocabulary into HIVE.
  • Index documents and test HIVE.
15:00-16:00 C. HIVE in detail
  • 2.1 Detailed introduction to HIVE.
  • 2.2. Using HIVE.
  • Activity 4: Exploring HIVE System.
  • 2.3. HIVE-ES.

D. HIVE in technical

  • 2.4. HIVE architecture.
  • 2.5. Information retrieval in HIVE: Machine Learning.
16:00-16:20 Coffee break

D. HIVE in technical (cont.)

  • 2.6. Step by step installation
  • 2.7. Importing vocabularies to HIVE
Activity 5: Manual indexing of texts for training KEA at HIVE.
17:10-18:00 E. HIVE in the real world
  • 2.8. Using HIVE for indexing
Activity 6: Manual vs. automatic indexing with HIVE.
18:00-18:30 Wrapping up: conclusions and doubts


Workshop Instructors and coordinators

  • Jane Greenberg. Chair of Excellence. LIS Department. UC3M. Director of the SILS Metadata Research Center (UCN-CH).
  • Liliana Melgar. Junior Researcher. PhD Candidate. LIS Department. UC3M
  • Angela Murillo. Junior Researcher. PhD Candidate. School of Information and Library Sciences. University of North Carolina at Chapel Hill. DataOne metadata and preservation summer intern.
  • Jackie Chapman, Junior Researcher. PhD Candidate. School of Information and Library Sciences. University of North Carolina at Chapel Hill.

Accommodation and practical information

See more details in the [Accommodation] page.
Herramientas personales
Espacios de nombres
Qué es HIVE
Información de contacto