Linked Data Driven Data Virtualization for Web-scale Integration

Linked Data Driven Data Virtualization for Web-scale Integration
© 2009 OpenLink Software, All rights reserved Orri Erling Program Manager, Virtuoso

Situation Analysis
Agility via ad hoc data access has prevailed throughout the history of IT.
Data, heterogeneity are growing exponentially, across Intranets, Extranets, and the Internet
Processing windows remain static (we still only have 24 hrs. in a day for personal and professional activities)
Individual and Enterprise Agility remains totally dependent on data access, manipulation, and dissemination
Data remains dirty and its context remains necessary for extracting meaning.
Data Virtualization (in the form of heterogeneous Linked Data Spaces) remains the only viable way forward.
© 2009 OpenLink Software, All rights reserved

What is Linked Data?
RDF (Resource Description Framework) Data Model - a graph model where records take the form of
3-tuples i.e., subject-predicate-object or entity-attribute-value
RDF Data Serialization Formats - (X)HTML+RDFa, Turtle, N3, TriX, RDF/XML, and others
RDF Data Item Identity - is HTTP URI based
RDF is inherently schema-last and self-describing
Linked Data - application of RDF model where records identifiers, fields, and optionally field values, are endowed with HTTP scheme URIs whether instance data (ABox) or data dictionary data (TBox)
Linked Data enables follow-your-nose traversal of RDF data records where every record identifier, field, or field value is a data pathway

The Linked Data Landscape
Core vocabularies - common terms facilitate integration:
FOAF for Personal Profile
SIOC for Social Networking
Dublin Core for Bibliography
GoodRelations for eCommerce
Geonames
Domain specific vocabularies for all verticals:
OBO Foundry for biology
Dbpedia, OpenCYC, Yago, SUMO, Geonames etc. define URIs for talking about almost any well known real world entity or class of entities.

What Linked Data Offers for Data Integration © 2009 OpenLink Software, All rights reserved
In RDF, all things have a single-part global HTTP based Identifier: Anything can join with anything else through its URI.Many people will use a different identifier for the same thing.
Whether two things can be considered the same depends on context. OWL sameAs is a generic way of stating identity co-reference.Literal values can be tagged by type or language, allowing explicit representation of units of measure etc.RDF Triples are contained in Named Graphs. The graph usually denotes provenance, and it has a URI, about which further statements can be made

RDF vs. Relational
When the data is ragged and highly heterogenous, with schema last needs, use RDF and Linked Data
The more different sources of data, the more you will need RDF and Linked Data
If data is highly regular and uniform, relational offers higher performance: Application specific indices, &c are faster than putting everything in a generic index scheme

Incentives for Publishing
If one is on the web, one is there in order to be found
Publishing data in standard vocabularies allows applications to mesh data from many Web-addressable Data Spaces (eg. Pages)
In the end, Linked Data will enhance the end user experience by added serendipitous discovery and increased relevance

Models for Publishing
Linked data is usually published in large dumps which have a release cycle
Any relational database's contents can be published as linked data through generating RDF on demand via a relational to RDF schema mapping
Whether one generates RDF on demand or ETLs RDBs as RDF depends on use case
© 2009 OpenLink Software, All rights reserved If one publishes data – whether as a product, for promotion, or regulatory compliance – RDF/Linked Data is attractive because of a critical mass of reusable terms and a ready base of technology. As more data is published, the link density increases, leading to more novel ways of deriving value from the data.

Use Case: CRM and MIS
At OpenLink internal IT, all CRM, Support, Blogs, Wikis available as linked data
Interactive drill down from products to support tickets to customers to docs, etc.
Currently working on projects about exposing enterprise CRM as linked data

Use Case: The Neurocommons © 2009 OpenLink Software, All rights reserved AddGene Plasmids NeuronDB BAMS Neurocommons text mining Homologene SWAN Entrez Gene Gene ontology annotations Mammalian Phenotype PDSPki BrainPharm AlzGene Antibodies PubChem MESH Reactome Allen Brain Atlas Publications CCDB Neuronbank OBO Ontologies NeuroMorpho SAO Coriell catalog

Bio2RDF - some of the larger datasets © 2009 OpenLink Software, All rights reserved Name Triple count PubMed * 797,000,000 NCBI GeneID 172,931,628 Uniprot 797,000,000 UniRef * 242,000,000 UniParc * 490,000,000 IproClass 149,342,977

Use Case: BBC Programs and Music Service
Data Harvested via Sitemap and Web Crawling
20M Triples
Integrated to Last.FM, Dbpedia, Musicbrainz: See what any of these has to say about an artist of work.
http://bbc.openlinksw.com

Use Case: Linked Open Data Cloud Service
Dbpedia, Freebase, Geodata, Neurocommons, Bio2RDF, Govtrack, US Census, RKB Explorer
Pingthesemanticweb, Good Relations and more
Entity Ranks
Full Text, SPARQL, Faceted Browsing
http://lod2.openlinksw.com , http://lod.openlinksw.com
7.59 billion triples

The Generations of the Web
Web 1.0 - Publishing for all
Web 2.0 - User generated content, mashups, the citizen journalist
Linked Data Web - Big data, integration and analytics for all.

Linked Data Driven Data Virtualization for Web-scale Integration

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Linked Data Driven Data Virtualization for Web-scale Integration — Presentation Transcript