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LOD-LAM Jenel Farrell - SAA 2011 Metadata Object Roundtable

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Linked Open Data Libraries Archives Museums. This presentation is a basic overview of what LOD is and what technologies are needed to ensure the metadata around your collections is machine readable.

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LOD-LAMJenel Farrell - SAA 2011

Metadata Object Roundtable

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LINKED OPEN DATA

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LIBRARIESARCHIVESMUSEUMS

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The current web is a web of documents

intended for human interpretation

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Data is locked in closed silos

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The linked data vision is to...

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•Move away from the repository-centric mind-set and open data silos

•Publish data applications computers can access & interpret

•Use “standards” in the form of common Web technologies

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Making it possible for applications to

look up (meta)data...

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...about thingsbooks concepts people places

by looking up their names

http://dbpedia.org/resource/The_Metamorphosis

on the web

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But, to allow applications to

look up metadata in your database,

we need some technology

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Uniform Resource Identifier (URI)

•URI is a string of characters used to identify (UI) a name or resource on the internet

•URIs are more specific than URLs, which name the location of something. URIs are the ‘thing’

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Resource Description Framework (RDF)

• In addition to having a unique identifier for your ‘thing’, you need RDF, which is a model for representing metadata on the web

• This representation comes in the form of statements, which are called ‘triples’

• Triples define the relationships between things

• Language for describing vocabularies (there are others)

•Way to represent info on the web

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Simple Knowledge Organization System (SKOS)

•A language (built on RDF) for describing controlled vocabularies

•thesauri

•classification schemes

•taxonomies

•subject-heading systems

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SPARQL

•And, of course, a language to query the data

•SPARQL is a query language built on RDF

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DBPedia... The main objective of DBpedia is to extract structured information from Wikipedia, convert it into RDF, and make it freely available on the Web. In a nutshell, DBpedia is the Semantic Web mirror of Wikipedia.

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In a nutshell, the basics of

LINKED OPEN DATA

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Make your stuff available on the web (whatever

format) under an open license

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Make your data available as

structured data (ex. CSV table instead of an

image scan of a table)

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Use non-proprietary

formats (CSV instead of Excel)

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Use URIs to identify things, so that people can point at your stuff

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Link your data to other data to

provide context

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Linked data is essential to connect the

semantic web

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By linking up data, we gain access to

many more databases & discover new connections