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Transcript of Metadata
Metadata Semantic Web Solutions: Web 2.0 and beyond______________________________
Stephanie Beene, 10/14/2008
Metadata: What is it?
several definitions, depending on the field...
• " data about data" is the most generic definition.• "structured information that describes, explains, locates, or otherwise makes
it easier to retrieve, use, or manage an information resource" (NISO, 2004) .
• "data associated with either an information system or an information object
for purposes of description, administration, legal requirements, technical functionality, use and usage, and preservation" (DCMI Glossary, 2005).
• In the last decade metadata standards & guidelines skyrocketed with the
proliferation of digital information.
• As these standards & guidelines were created with local needs in mind, semantic silos were created.
____________________________
Semantic Web Solutions
The Problem: • Since the first Dublin Core Workshop
in 1995, metadata has expanded well beyond just describing documents.o become a symbol for digital
information organization and management.
• three phases over the past 13 years in metadata development:o ~1995-1998: exploring and
defining metadata in its Internet roles, how it adapts to domain-specific (local) requirements.
o ~~1998-2003: the Dublin Core became the international standard, domain-standards proliferate.
Semantic Web goals:
• Interoperability and Standardization.
• We're in the third phase of metadata development:o ~2003-present: theoretical
frameworks, grassroots tagging.
o Dilemmas: ever-increasing volume of digital information; complexities, high cost, slow creation of metadata.
________________________________
Library & Information Science Computer Science
The Semantic Web Conversation
"How can we describe information objects?"
"We want to capture data about digital
objects..."
"We want a variety of responses to user
queries"
"How can we build systems to respond better/more quickly to user requests?"
"How can we encode data in executable format into Web
architecture?"
"How can metadata become machine-
processable?"
___________________________________________
Semantic Web Solutions
Outcomes to the Conversation: • Ongoing process to unify the two paradigms of description &
processability/executability. • XML/RDF-based languages:
o combine semantic structures with computational syntax o provide mechanisms for expressing relationships between classes of data
that is computer/machine-processable.o example: OWL ( Web Ontology Language):
• Application Profiles (DCMI):
o as a way to declare which elements from which namespaces are used in a particular application or project.
o schemas of data elements optimized for a specific local application • Infrastructure streamlining (making all XML-compatible):
• XML/RDF as the data-binding language
____________________________
The Metadata Jungle!
http://homepages.cwi.nl/~troncy/Talks/WWW08/metadata_jungle.jpg
Attempts to tame the jungle...
http://instructionaldesign.com.au/Academic/TechnicalTheme1_files/swtechnologies.jpg
Semantic Web Solutions________________________________
Some Examples: • Archives Initiatives:
• OAI Metadata Harvester: http://uilib-oai.sourceforge.net/• California Digital Library OAI: http://cdlib-s10.cdlib.org/inside/projects/harvesting/
• Business Initiatives: • SAS (formerly Statistical Analysis Software, now just SAS):
http://www.sas.com/technologies/dw/connectivity/index.html?gclid=CKak5uDGuJYCFQOIFQod_kVoLg
• Mozenda (formerly Infosquire): http://www.infosquire.com/?gclid=CN_ilYfGuJYCFQKaFQodIBW1Kw
• Library Initiatives:• Dublin Core Solutions: http://dublincore.org/tools/index.shtml• Siderean Software (Seamark): http://www.siderean.com/ • Sirsi Dynix Enterprise Solutions:
http://www.sirsidynix.com/Solutions/Products/portalsearch.php• Millennium Triple I: http://www.iii.com/
____________________________questions?
____________________________Sources
Lei Zeng, Marcia and Jian Qin (2008). Metadata. New York: Neal-Schumann Publishers, Inc.
Class readings & links you see on this presentation