Title
Linked data: enabling standards and other approaches
Abstract
Linked Data is a term used to describe a set of best practices for publishing, sharing, and connecting structured data on the Web. It is "about using the Web to connect related data that wasn't previously linked, or using the Web to lower the barriers to linking data currently linked using other methods."[1] The panel will introduce and discuss standards and alternative approaches enabling, representing and disseminating data as linked data, including: • ISO/IEC JTC 1/SC 34 (for Document Description and Processing Languages standards related to structured markup languages) [2] and ISO TC46/SC9 (Identification and Description) [3] activities updates; the second edition of Web Ontology Language (OWL2) [4] -- by Sam Oh. • W3C's RDFa which is actively being refined [5] and has generated significant fresh usage activities -- by Jon Phipps and Ed Summers. • NISO I2 (Institutional Identifiers) [6] -- by Jody DeRidder. • W3C Library Linked Data Incubator Group [7] progress -- by Marcia Zeng, John Phipps, and Ed Summers. The ASIST Standards Committee has been organizing standards updates sessions at each ASIST annual conference. The purpose is to promote the awareness of standards issues by major standards bodies including: ISO, NISO, and W3C. Meanwhile, the sessions usually bring in a focused panel to address an array of important issues around standards and applications in which the ASIST community would be interested. Presenters will give introduction to the standards specified at their position statements above, lead audience-participated discussions, and answer questions.
Year
DOI
Venue
2010
10.1002/meet.14504701053
ASIST
Keywords
Field
DocType
asist annual conference,standards issue,major standards body,iso tc46,web ontology language,asist community,enabling standard,w3c library linked data,asist standards committee,structured data,linked data,ed summers,rdfa,iso
World Wide Web,Best practice,Identifier,Computer science,Linked data,Dissemination,Publishing,Data model,Markup language,Web Ontology Language
Conference
Citations 
PageRank 
References 
19
0.41
0
Authors
7
Name
Order
Citations
PageRank
Lei Zeng Marcia117427.01
Mark Needleman2192.44
Sam Oh3190.75
Jon Phipps414515.85
Ed Summers5665.35
Jody DeRidder6190.41
Gail Hodge7675.63