Paper Info
Title
FactForge: data service or the diversity of inferred knowledge over LOD
Abstract
Linked Open Data movement is maturing. LOD cloud increases by billions of triples yearly. Technologies and guidelines about how to produce LOD fast, how to assure their quality, and how to provide vertical oriented data services are being developed (LOD2, LATC, baseKB). Little is said however about how to include reasoning in the LOD framework, and about how to cope with its diversity. This paper deals with this topic. It presents a data service --- FactForge --- the biggest body of general knowledge from LOD on which inference is performed. It has close to 16B triples available for querying, derived from about 2B explicit triples, after inference and some OWLIM repository specific optimization. We discuss the impacts of the reference layer of FactForge and inference on the diversity of the web of data, and argue for a new paradigm of data services based on linked data verticals, and on inferred knowledge.
Year
DOI
Venue
2012
10.1007/978-3-642-33185-5_16
AIMSA
Keywords
Field
DocType
data service,general knowledge,data vertical,explicit triple,biggest body,lod framework,vertical oriented data service,owlim repository specific optimization,linked open data movement,lod cloud increase
World Wide Web,Information retrieval,Inference,Computer science,Linked data,Semantic Web,Natural language processing,General knowledge,Artificial intelligence,Data as a service,Cloud computing
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
4
Name
Order
Citations
PageRank
Mariana Damova1394.51
Kiril Simov213929.75
Zdravko Tashev31478.20
Atanas Kiryakov4106965.80