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    SKOS Core: Simple Knowledge Organisation for the Web
    Alistair Miles,Brian Matthews,Michael Wilson,Dan Brickley
    2006, 22 (1): 3-9.  DOI: 10.11925/infotech.1003-3513.2006.01.02

    This paper introduces SKOS Core, an RDF vocabulary for expressing the basic structure and content of concept schemes (thesauri, classification schemes, subject heading lists, taxonomies, terminologies, glossaries and other types of controlled vocabulary).  SKOS Core is published and maintained by the W3C Semantic Web Best Practices and Deployment Working Group.  The main purpose of this paper is to provide an initial basis for establishing clear recommendations for the use of SKOS Core and DCMI Metadata Terms in combination.  Also discussed are management policies for SKOS Core and other RDF vocabularies, and the relationship between a “SKOS concept scheme” and an “RDFS/OWL Ontology”.

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    Using Dublin Core Application Profiles to Manage Diverse Metadata Developments
    Robina Clayphan,Bill Oldroyd
    2006, 22 (1): 10-16.  DOI: 10.11925/infotech.1003-3513.2006.01.03

    This paper discusses the use of Dublin Core application profiles at the British Library as part of a resource discovery strategy.  It shows how they can be used to control the proliferation of metadata formats in digitisation activity and provide interoperability at a high level between diverse legacy systems. A technical architecture  is described. This allows the use of Dublin Core based metadata to support crosssearching of multiple disparate databases.

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    Anonymous Dublin Core Profiles for Accessible User Relationships with Resources and Services
    Liddy Nevile
    2006, 22 (1): 17-24.  DOI: 10.11925/infotech.1003-3513.2006.01.04

    This paper presents the case for a private (anonymous) personal profile of accessibility needs and preferences expressed in a Dublin Core format. It introduces the idea that this profile, identified only by a URI, is motivated by a desired relationship between a user and a resource or service. It assumes a new Dublin Core term DC:Adaptability and argues that, without any reference to disabilities, personal needs and preferences, including those symptomatic of common physical and cognitive disabilities, context or location, can be described in a common vocabulary to be matched by resource and service capabilities.

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    Toward Core Subject Vocabularies for Communityoriented Subject Gateways
    Wonsook Lee,Shigeo Sugimoto
    2006, 22 (1): 25-32.  DOI: 10.11925/infotech.1003-3513.2006.01.05

    Subject classification schemes and vocabularies for subject indexing, i.e. subject vocabularies, have a crucial role in the development of subject gateways. From our experiences on a few subject gateway projects which are designed for regional and domain-specific communities, we learned that the subject gateways require a subject vocabulary which is reasonably small and tailored in accordance with the resources in the domain and the audience.
    The goal of this paper is to discuss underlying issues for the small “core” subject vocabularies defined as a subject description/classification scheme for community oriented resources. First, this paper describes some basic aspects for metadata schema and requirements for the region/domain-specific subject gateways. Second, we show three subject gateway projects which are resources designed primarily for libraries and public library users. And then, we show a few examples of small vocabularies designed for regional resources. This paper compares some vocabularies designed for regional resources and discusses issues for the core subject vocabularies.
    Costs to develop and maintain the vocabularies can not be neglected even if they are small. We consider the Semantic Web technologies will help develop software tools to support development and maintenance of the subject vocabularies and to enhance their interoperability and reusability.

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    Growing Vocabularies for Plant Identification and Scientific Learning
    Jane Greenberg,Bryan Heidorn,Stephen Seiberling,Alan S. Weakley
    2006, 22 (1): 33-43.  DOI: 10.11925/infotech.1003-3513.2006.01.06

    This paper reports on UPLanT’s (University of North Carolina Plant Language Team) vocabulary solutions, including Project OpenKey vocabulary developments.  The paper explores the meaning of vocabulary; discusses plant keys, plant taxonomy, and descriptive vocabulary used for plant identification; introduces UPLanT’s research and development activities and current inquiry.  Vocabulary solutions presented include a suite of vocabulary tools, a preliminary process model with steps for the development of vocabulary tools, and guiding principles for the development of descriptive plant vocabulary.  This work has been conducted to address the student/scientist vocabulary gap and facilitate student access to primary scientific resources found in education digital initiatives.

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    Use of Learning Object Vocabulary in GEM Queries
    Qin Jian,Javier Calzada Prado
    2006, 22 (1): 44-46.  DOI: 10.11925/infotech.1003-3513.2006.01.07

    Metadata applications have developed local controlled vocabulary to meet information needs of users, but little is known about what vocabularies users use in searching for information. This paper reports the findings from an analysis of a digital library’s query log. The analysis addresses questions of to what extent users use controlled vocabulary in resource discovery and what noncontrolled vocabulary users use in their resource discovery. The authors discuss what is missing between the controlled and noncontrolled vocabulary and how we can integrate user query terms into a learning object vocabulary for improving learning object representation and discovery.

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    Design and Implementation of Chinese SyntacticParsing-Oriented Assistant System
    Zhang Liang,Chen Zhaoxiong,Huang Heyan,Ma Yuzhi
    2006, 22 (1): 47-50.  DOI: 10.11925/infotech.1003-3513.2006.01.08

    Chinese syntactic parsing is a key of Chinese study and Chinese information processing, as well as difficulty. Chinese syntactic parsing-oriented assistant system will be a good help to it. This paper describes the architecture and functions of this system, and discusses detailedly two important algorithms in implementation, which are bracket matching algorithm and syntactic parsing algorithm. The preliminary experiment result shows that it performs well and it can achieve design goal.

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