Proceedings of the American Society for Information Science and Technology, 2013
ABSTRACT The creation of knowledge organization systems (KOS) such as taxonomies, thesaurus, onto... more ABSTRACT The creation of knowledge organization systems (KOS) such as taxonomies, thesaurus, ontologies, and name authorities involve tremendous intellectual efforts. With the rapid development of Linked Data, KOS's functioning as value vocabularies has become fundamental in interlinking the values of discrete datasets. How to build on the existing value vocabularies and maximize their usage is a critical issue and directly relates to the cost-effectiveness and the sustainability of a vocabulary as well as the datasets using it. This panel will focus on maximizing the usage of existing value vocabularies around the life-cycle of a vocabulary in the Linked Data Ecosystem, including: (1) Transforming a subject heading vocabulary into a schema fully compatible with machine processing while also being easier to understand; (2) Using other Linked Data vocabularies to enrich and add details to each of the terms in a value vocabulary; (3) Managing and sharing KOS through registries and microdata using a metadata application profile; and (4) Designing and developing tools to connect Meaningful Concept Displays (MCDs) to multiple KOS and search systems, focusing on visualization approaches and new browsing styles.
This report discusses the development of an extension vocabulary for describing theses and disser... more This report discusses the development of an extension vocabulary for describing theses and dissertations, using Schema.org as a foundation. Instance data from the Montana State University ScholarWorks institutional repository was used to help drive and test the creation of the extension vocabulary. Once the vocabulary was developed, we used it to convert the entire ScholarWorks data sample into RDF. We then serialized a set of three RDF descriptions as RDFa and posted them online to gather statistics from Google Webmaster Tools. The study successfully demonstrated how a data model consisting of primarily Schema.org terms and supplemented with a list of granular/domain specific terms can be used to describe theses and dissertations in detail
Proceedings of the American Society for Information Science and Technology, 2013
ABSTRACT The creation of knowledge organization systems (KOS) such as taxonomies, thesaurus, onto... more ABSTRACT The creation of knowledge organization systems (KOS) such as taxonomies, thesaurus, ontologies, and name authorities involve tremendous intellectual efforts. With the rapid development of Linked Data, KOS's functioning as value vocabularies has become fundamental in interlinking the values of discrete datasets. How to build on the existing value vocabularies and maximize their usage is a critical issue and directly relates to the cost-effectiveness and the sustainability of a vocabulary as well as the datasets using it. This panel will focus on maximizing the usage of existing value vocabularies around the life-cycle of a vocabulary in the Linked Data Ecosystem, including: (1) Transforming a subject heading vocabulary into a schema fully compatible with machine processing while also being easier to understand; (2) Using other Linked Data vocabularies to enrich and add details to each of the terms in a value vocabulary; (3) Managing and sharing KOS through registries and microdata using a metadata application profile; and (4) Designing and developing tools to connect Meaningful Concept Displays (MCDs) to multiple KOS and search systems, focusing on visualization approaches and new browsing styles.
This report discusses the development of an extension vocabulary for describing theses and disser... more This report discusses the development of an extension vocabulary for describing theses and dissertations, using Schema.org as a foundation. Instance data from the Montana State University ScholarWorks institutional repository was used to help drive and test the creation of the extension vocabulary. Once the vocabulary was developed, we used it to convert the entire ScholarWorks data sample into RDF. We then serialized a set of three RDF descriptions as RDFa and posted them online to gather statistics from Google Webmaster Tools. The study successfully demonstrated how a data model consisting of primarily Schema.org terms and supplemented with a list of granular/domain specific terms can be used to describe theses and dissertations in detail
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Papers by Jeff Mixter