fact forge aimsa2012
DESCRIPTION
This presentation describes the public data service - FactForge. It is a reason-able view of a segement of LOD cloud, and the biggest body of general knowledge on which inference is performed, supplied with a reference layer for a quick access.TRANSCRIPT
FactForge: Data Service or the
Diversity of Inferred Knowledge
over LODover LOD
Mariana Damova, PhD, Kiril Simov, Zdravko Tashev, Atanas Kiryakov
AIMSA’2012
September 2012
Ontotext
– Top-5 provider of core Semantic Technology
– Established in year 2000; offices in Bulgaria, UK, USA
– Active both in research and commercial projects (FP7 funding for 10 years)
• 360° semantic technology – unique portfolio:
– Semantic Databases: high-performance RDF DBMS, scalable reasoning
– Semantic Search: text-mining (IE), metadata generation, Information Retrieval (IR)
– Web Mining: focused crawling, screen scraping, data fusion
– Linked Data Management and Data Integration
Good recognition in the SemTech community
– Ontotext pages are ranked #1 for “semantic annotation” and “semantic repository” at
GYM, #3 for “linked data management” at Google
Several joint ventures and subsidiaries
– Innovantage: leading online recruitment intelligence provider in UK
Ontotext Clients (selected)
British Broadcasting Corporation (BBC)– Run its World Cup 2010 sites on top of OWLIM
– Since Mar’12 BBC Sports
– 2012 Olympics sections are driven by OWLIM and a Concept Extraction service developed by Ontotext
Press Association (UK)– Analysis of Sports news
– Concept extraction
– Linked data generation– Linked data generation
Top-3 USA media (not allowed to name)
The National Archives (UK) contracted Ontotext to implement semantic KB and semantic search for the Government Web Archive
British Museum (UK) Ontotext leads the development of Phase 3 of ResearchSpace project on collaborative research in cultural heritage; British Museum’s public SPARQL end-point is powered by OWLIM
de Bibliothek (Holland) aggregation of data from 150 library databases
Semantic Web and Linked Open Data
• Semantic Web
a set of standards that enable computers to interpret the
semantics of data on the web
• Linked Open Data
a set of principles for publishing structured data and interlinking
them so that they can be browsed in a way HTML pages are them so that they can be browsed in a way HTML pages are
browsable
- Use URIs to identify things.
- Use HTTP URIs so that these things can be referred to and looked up
("dereferenced") by people and user agents.
- Provide useful information about the thing when its URI is dereferenced,
using standard formats such as RDF/XML.
- Include links to other, related URIs in the exposed data to improve discovery
of other related information on the Web.
#4September 2012AIMSA’2012
Linked Open Data cloud
2008
2011
#5July 2011AIMSA’2012
20092011
295 datasets more than 30 billion triples
Linked Open Data is maturing
LOD cloud grows by billions of triples yearly
Technologies and guidelines about
how to produce linked data fast how to produce linked data fast
how to assure their quality
how to provide vertical oriented data services
LOD2, LATC, baseKB
#6September 2012AIMSA’2012
This talk is about
reasoning
and
coping with diversity of the data on the web of data coping with diversity of the data on the web of data
#7September 2012AIMSA’2012
Outline
• FactForge (beta)
• Reference Layer
• Access Modes
• Querying
– Airports around London– Airports around London
– US city – a subject of a Novel
– US city – contactInformation
• Challenges
• Conclusion
AIMSA’2012 September 2012
FactForge (beta)
AIMSA’2012
the largest body of heterogeneous general knowledge on which inference has been performed
– powered by OWLIM 5.2 – supporting SPARQL 1.1
September 2012
Datasets
CIA FactBookDBpedia 3.7
Freebase
REASON-ABLE VIEW
of LOD datasetsNumber of explicit statements: 1,686,804,539
Implicit statements: 1,264,199,839
Retrievable statements: 12,646,674,554
AIMSA’2012
NY Times
Lingvoj
DBpedia 3.7
Geonames
Freebase
Wordnet 3.0MusicBrainz
Lexvo
materialization is performed with respect to the semantics of OWL-Horst optimized
September 2012
Reference Layer
#11September 2012AIMSA’2012
Linking at schema level:(1) using rdfs:subClassOf and rdfs:subPropertyOf statements; (2) using OWL expressions where there is a difference in the conceptualization(3) using inference rules if additional individuals are necessary in the repository to support the mapping
PROTON – light weight upper level ontology~500 classes, ~150 properties
http://www.ontotext.com/proton-ontology
Access modes
RDF Search - retrieve ranked list of URIs related to literals, which contain specific keywords
#12September 2012AIMSA’2012
Exploration - traversing the data, one resource at a time
Access modes (condt)
AIMSA’2012 September 2012
Access modes (condt)
Exploration - traversing the data, one resource at a time,
inspecting inferred knowledge
- locatedIn – Bulgaria, Eastern Europe- Geonames types/FearureCodes (dc:type P.PPL)- parentFeature – Bulgaria, Europe-containsLocation – Cherno More Sports Complex,
Varna Archeological Museum
#14September 2012AIMSA’2012
Varna Archeological Museum- isBirthPlaceOf – Aleksander Kraev, Martin Hristov…
Access modes (condt)
Exploration - traversing the data, one resource at a time, inspecting inferred knowledge
- locatedIn - Europe- subRegionOf - Europe- hasContactInfo –
website via Freebase-containsLocation
#15September 2012AIMSA’2012
-containsLocation- partOf…
Access modes (condt)
SPARQL endpoint
#16September 2012AIMSA’2012
Access modes (condt)
RelFinder
#17September 2012European Data Forum
Using LOD concepts
SELECT * WHERE {
?Person dbp-ont:birthPlace ?BirthPlace ;
rdf:type dbp-ont:Politician ;
?BirthPlace geo-ont:parentFeature dbpedia:Germany .
}
Querying
Using the intermediary layer
SELECT * WHERE {
?Person prot:birthPlace ?BirthPlace ;
rdf:type prot:Politicianr ;
?BirthPlace prot:subRegionOf dbpedia:Germany .
}
AIMSA’2012 September 2012
Find Airports near London
Standard LOD vs. PROTON query 13 vs. 20 resultsDBpedia vs. DBpedia and Geonames
#19September 2012AIMSA’2012
Find airports near London - Results comparison
#20September 2012AIMSA’2012
Using Geospatial index of OWLIM
City – a subject of a science fiction author
#21September 2012AIMSA’2012
OWLIM 5.0 and SPARQL 1.1
Exemplary queries :
GROUP BY, min
— Minimal and maximal population counts of European countries
Federated Query between FactForge and LinkedLifeData
— Drugs that cure the disease from which died Alexandre Graham Bell
Literal index over datesLiteral index over dates
– World governors in office between 1980 and 2005
Literal index over digits
― European countries with population above 20 MLN
Geospatial index
— Show the distance from London of airports located at most 50 miles away from it
#22September 2012AIMSA’2012
Challenges and usage
• Clean data
– Clean up input data
• At model level
– Contradiction detection
– Consistency checking
• Curation and upgrading methodology• Curation and upgrading methodology
#23September 2012AIMSA’2012
FactForge has been used as data layer infrastructure in FP7 projects, like RENDERFactForge has been used in tasks of
linked data generation from unstructured data,metadata enrichment of structured data
providing linkage to the entire LOD cloudfor example The National Archive of UK
EDAMAM - food recommendation app
Acknowledgements
ColleaguesIvan Peikov, OntotextRouslan Velkov, OntotextBarry Bishop, OntotextBarry Norton, Ontotext
Partial funding
#24September 2012AIMSA’2012
Barry Norton, OntotextMarin Dimitrov, OntotextAlex Simov, OntotextJordan Dichev, OntotextKonstantin Penchev, Ontotext
Linkshttp://ff-dev.ontotext.comhttp://www.ontotext.com/owlimhttp://www.ontotext.com/factforgeEmail:[email protected]
Thank you for your attention!