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The Web of Linked Data Information Universe. Seongmin Lim [email protected] Dept. of Industrial Engineering Seoul National University. contents. Foundations of Dataspaces and Linked Data Where do they overlap? The Web of Linked Data What data is out there? Linked Data Applications - PowerPoint PPT Presentation
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The Web of Linked DataInformation Universe
Seongmin [email protected]
Dept. of Industrial EngineeringSeoul National University
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contents Foundations of Dataspaces and Linked Data- Where do they overlap?
The Web of Linked Data- What data is out there?
Linked Data Applications- What is being done with the data?
Remarks on- Identity- Self-descriptive Data- Pay-as-you-go Integration
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From data integration systems to dataspace In order to cope with growing number of data sources
Properties of dataspaces- may contain any kind of data (structured, semi-structured, unstructured)- require no upfront investment into a global schema- provide for data-coexistence- give best-effort answers to queries- rely on pay-as-you-go data integration
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Linked data principles For publishing structured data on the general Web
Tim Berners-Lee1. Use URIs as names for things.2. Use HTTP URIs so that people can look up those names.3. When someone looks up a URI, provide useful RDF
information.4. Include RDF statements that link to other URIs so that
they can discover related things.
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From classic web to web 2.0Single global information space No single global dataspace
1. Small set of simple standards 1. APIs have proprietary interfaces2. Hyperlinks to connect everything 2. Mashups from a fixed data sources
3. No hyperlinks within different APIs
Web APIs slice the Web into Walled Gardens
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Can’t we just publish data as files? pdf- Easy to read and publish
Excel- Allows further processing and analysis
csv- Processing without need for proprietary tools
But…- Structure of data not explained- No connection between different data sets, silos- Static and fixed – can’t retrieve just slices relevant to problem
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Linked data Extend the Web with a single global dataspace- By using RDF to publish structured data on the Web- By setting links between data items within different data sources
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What is RDF? Resource Description Framework
RDF is the data format for linked data
It’s about writing down relations between things
What is RDF for?- For everyone to do same for data- To make the Web into a database
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The essence of RDF: the ‘triple’ Typical database table
things
propertiess
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Relations between ‘things’
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Using the Web’s infrastructure Entities are identified with HTTP URIs- Specifically http://
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contents Foundations of Dataspaces and Linked Data- Where do they overlap?
The Web of Linked Data- What data is out there?
Linked Data Applications- What is being done with the data?
Remarks on- Identity- Self-descriptive Data- Pay-as-you-go Integration
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Properties of the Web of linked data Global, distributed dataspace built on a simple set of
standards- RDF, URIs, HTTP
Entities are connected by links- enables the discovery of new data sources.
Provides for data-coexistence- Everyone can publish data to the Web of Linked Data- Everyone can express their personal view on things- Everybody can use the schemata that they like for this
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W3C linking open data project Publish existing open license datasets as linked data Interlink things between different data sources 2007
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LOD datasets on the Web: July 2009
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DBpedia community effort to extract structured information from Wikipedia. provides data about 3.4 million things- 312,000 persons- 140,000 organizations- 413,000 places- 94,000 music albums- 49,000 films- 146,000 species- …
provides identifiers for many common things- http://dbpedia.org/resource/Calgary
overlaps with many other data sources on the Web
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Uptakes in many areas Uptake in life sciences- W3C linking open drug data effort- Bio2RDF project- Allen Brain Atlas
Governments, libraries, media industry, ……
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The structural continuum The Web of linked data is interwoven with the classic Web.- Unstructured data: HTML- Semi-structured data: RDFa embed into HTML- Structured data: RDF/XML
Services using named entity recognition to annotate texts with Linked Data URIs- Open Calais (Thomsons Reuters) for news- Zemanta (startup) for blog posts
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contents Foundations of Dataspaces and Linked Data- Where do they overlap?
The Web of Linked Data- What data is out there?
Linked Data Applications- What is being done with the data?
Remarks on- Identity- Self-descriptive Data- Pay-as-you-go Integration
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Linked data browsers Provide for navigating between data sources in order to
explore the dataspace.- Tabulator Browser (MIT, USA)- Marbles (FU Berlin, DE)- OpenLink RDF Browser (OpenLink, UK)- Zitgist RDF Browser (Zitgist, USA)- Disco Hyperdata Browser (FU Berlin, DE)- Fenfire (DERI, Irland)
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Mashups(DBpedia mobile)
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Web of data search engines Crawl the dataspace and provide best-effort query
answers over crawled data.- Falcons (IWS, China)- Sig.ma (DERI, Ireland)- Swoogle (UMBC, USA)- VisiNav (DERI, Ireland)- Watson (Open University, UK)
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What are the big players doing? Yahoo! and Google have started to crawl Linked Data in
its RDFa serialization as well as Microformats.
Yahoo!- provides access to crawled data through the Yahoo BOSS API- is using the data within Yahoo Search Monkey to make search
results more useful and visually appealing.
Google- uses crawled RDF data for its Social Graph API- uses crawled data to enhance search results snippets for reviews
and people.
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Yahoo! Search monkey
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contents Foundations of Dataspaces and Linked Data- Where do they overlap?
The Web of Linked Data- What data is out there?
Linked Data Applications- What is being done with the data?
Remarks on- Identity- Self-descriptive Data- Pay-as-you-go Integration
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Identity Real world objects are identified with multiple URIs- Coupling of identification and retrieval- Data-coexistence: everybody can say everything about anything
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Enable Clients to retrieve the Schema Clients can resolve the URIs that identify vocabulary
terms in order to get their RDFS or OWL definitions.
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Reuse Terms from Common Vocabularies Common Vocabularies
- Friend-of-a-Friend for describing people and their social network- SIOC for describing forums and blogs- SKOS for representing topic taxonomies- Organization Ontology for describing the structure of organizations- GoodRelations for describing products and business entities- Music Ontology for describing artists, albums, and performances- Review Vocabulary provides terms for representing reviews
Common sources of identifiers (URIs) for real world objects- LinkedGeoData and Geonames: Locations- GeneID and UniProt: Life science identifiers- Dbpedia: Wide range of things
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Somebody Pays-As-You-Go The overall data integration effort is split between the
data publisher, the data consumer and third parties. Data Publisher- publishes data as RDF- publishes data in a self-descriptive fashion- sets links and publishes mappings
Third Parties- set links pointing at your data- publish mappings to the Web
Data Consumer- has to do the rest
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Summary Linked Data moves the dataspace vision to a global scale and
adds the social/community aspect to it.
The Web of Linked Data is growing rapidly- active deployment communities in different domains- might have exceeded the critical mass
Great playground for experimentation- dataspace profiling- probabilistic and approximate schema mapping- data fusion, data quality, and trust- What will the user interfaces look like?- Will search engines turn into answer engines?
