SIG/CR Programs at ASIS 1997 Annual Meeting

SIG/CR Programs at ASIS 1997 Annual Meeting

Sunday, November 2


8th SIG CR Classification Research workshop

The CR Workshop is designed to be an exchange of ideas among active researchers with interests in the creation, development, management, representation, display, comparison, compatibility, theory, and application of classification schemes.

Monday, November 3


SIG/CR Planning Meeting

Tuesday, November 4


Classificatory Structures and the Construction of Reality

This session explores how classificatory structures support interaction between individuals, discourse communities, and scholarly disciplines in the Global Information Association. Classification schemes provide access to existing knowledge and promote development of new knowledge. Although a domain-specific classification defines main concepts within a particular area, it does not exist in isolation, but shares with associated discourse communities a dialogical interconnection expressed through shared concepts. Development of these shared concepts impacts integration within traditional disciplines and underlies effective communication between social groups and knowledge domains. Such influence extends to the development and maintenance of universal schemes for large, centralized or distributed collections of information objects.

Science, Accounting, and Administration: The Worlds of the Nursing Interventions Classification. Geoffrey C. Bowker ( and Susan Leigh Star (, Graduate School of Library and Information Science, University of Illinois at Urbana Champaign.
Social Constructs and Disease: Implications for a Controlled Vocabulary for HIV/AIDS. Jeffery T. Huber, Vanderbilt University Medical Center ( and Mary L. Gillaspy, The Learning Center (
Mapping Beyond Dewey's Boundaries: Constructing Classificatory Space for Marginalized Knowledge Domains. Hope A. Olson, School of Library and Information Science, University of Alberta (

Hanne Albrechtsen, The Royal School of Librarianship, Copenhagen, Moderator (


SIG/CR Dutch Treat Dinner

Wednesday, November 5


Organizing and Representing Knowledge Graphically Using Classification Structures

Classification structures may prove invaluable in the construction of graphical interfaces for information retrieval systems to make retrieval simpler and faster to use and easier to understand. Classification structures have the potential to contribute to both the retrieval and display aspects of system design. This session will explore ways classification structures in graphical interfaces may enhance information retrieval system design. It will include presentations from research in constructing a visual terminology database and will consider possibilities for graphic presentation of known-item information in online catalogs.

The Application of Classification Structures in a Visual Terminology Database of Medicinal Herbs. Marcia Lei Zeng, School of Library and Information Science, Kent State University (
Graphic Representation of Author and Work Information Using Classification. Allyson Carlyle ( and Sam Oh (, Graduate School of Library and Information Science, University of Washington.

Graphical Displays of Term Relationships. Xia Lin, College of Information Science & Technology, Drexel University (

Two different ways of displaying term relationships are studied. One is to display terms in a hierarchy. The hierarchy can group terms by their semantic relationships. Its structure can be expanded or contracted to allow the user to focus on different details. The display terms can be linked to pre-constructed queries to all ow search engines to retrieve accurately information related to the display terms. This hierarchical display is compared to a map display of terms. On the map display, term relationships are shown by their relative geographical locations, which are determined by the computer through analysis of text or term relationships. This presentation will focus on how these two displays can be generated manually or automatically, the advantages and disadvantages of each, and the potential applications of these displays in the web environment. Research prototypes for both displays will be presented and discussed.

Development of a Lattice-Based Graphical Interface for Conceptual Navigation in Classification Systems. Uta Priss ( and Elin K. Jacob (, School of Library and Information Science, Indiana University.

Raya Fidel, Graduate School of Library and Information Science, University of Washington, Moderator (




Uniform Resource Identifiers, Metadata and What They Mean for Access to Networked Digital Resources: Reports on Recent Developments

One standard that supports the Web is the Uniform Resource Locator (URL), a standard way of addressing networked resources. URLs have serious limitations, including expired links, confusion between names and addresses, and difficulty in distinguishing between various versions of a resource. Unlike the world of online catalogs, the web does not offer an infrastructure for bibliographic control. To deal with these inadequacies, the Internet Engineering Task Force (IETF) established the Uniform Resource Identifier (URI) Working Group to discuss and develop standards for naming, describing and addressing Internet resources. One intent of the Working Group is to create an all encompassing concept and associated syntax that will include and coordinate all forms of URs that might be needed. Two forms of URIs have been proposed, the Uniform Resource Names (URNs) and the Uniform Resource Characteristics (URCs). The URN is intended to deal with the issue of unique identifiers for networked resources. The URC is intended to contain metadata about a URN. In other words, the URC will supply a "bibliographic" description to an Internet resource to facilitate discovery of networked digital resources and collections. The session will mainly focus on the URC. Various proposals for their implementation and other metadata standards, such as the Dublin Core, will be outlined and presented.

Where Do We Stand on Uniform Resource Identifiers? Clifford Lynch, Coalition for Networked Information.
URNs and URCs: Representation, Operation, and Status. Michael Mealling, Network Solutions, and Ron Daniel, Jr., Los Alamos National Lab.
Metadata, MARC, and the Dublin Core. Rebecca Guenther, Network Development and MARC Standards Office, Library of Congress.

Ray Schwartz, Dana Library, Rutgers University, Moderator (


Classification and Indexing for Image Collections: Theory and Practice proposed by Andrew Grove

For years, the complexities of managing images and image collections has exceeded the capabilities of textual classification and indexing tools. Recent technological advancements, however, have resulted in a number of fruitful research projects. Furthermore, the new technology has created the possibility of managing images and image information in ways appropriate for image collections, rather than adapting methodologies designed for text documents. Widespread availability of digital images has generated tremendous interest in search and retrieval of images. More than a few commercial enterprises are playing an active and prominent role in amassing digital collections of images. These organizations will have considerable impact on the tools and methodologies developed for managing image collections. A very real possibility exists that private businesses will create de-facto standards, or entrenched and inertia-bound systems with insufficient attention to sound theoretical foundations for them. This session will bring together researchers and practitioners for the purpose of reporting research findings, and information about current or proposed image storage and retrieval systems. Particular attention will be given to classification and indexing of images.

Vocabulary for Images in a Digital Environment : The Corbis Controlled Vocabulary. Andrew S. Grove Controlled Vocabulary Developer, CORBIS, Bellevue, Washington, (
Explorations in Using Audio Description as a Tool for Indexing Moving Image Documents. James M. Turner, École de bibliothèconomie et des sciences de l'information, Université de Montréal, Moderator (
How People Describe Images: Continuing Research. Corinne Jorgensen, State University of New York at Buffalo (
Sharing Congruence: Text-Based and Image-Based Representations for Moving Images. Abbey Goodrum, University of North Texas (

Nancy Blase, University of Washington, Moderator (

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Last Updated on February 17, 2014