dc.contributor.author | Hogan, Aidan | |
dc.contributor.author | Harth, Andreas | |
dc.contributor.author | Polleres, Axel | |
dc.date.accessioned | 2018-09-20T16:11:08Z | |
dc.date.available | 2018-09-20T16:11:08Z | |
dc.date.issued | 2009-01-01 | |
dc.identifier.citation | Hogan, Aidan; Harth, Andreas; Polleres, Axel (2009). Scalable authoritative owl reasoning for the web. International Journal on Semantic Web and Information Systems 5 (2), 49-90 | |
dc.identifier.issn | 1552-6283,1552-6291 | |
dc.identifier.uri | http://hdl.handle.net/10379/11951 | |
dc.description.abstract | In this article the authors discuss the challenges of performing reasoning on large scale RDF datasets from the Web. Using ter-Horst's pD* fragment of OWL as a base, the authors compose a rule-based framework for application to web data: they argue their decisions using observations of undesirable examples taken directly from the Web. The authors further temper their OWL fragment through consideration of "authoritative stheirces" which counter-acts an observed behavitheir which we term "ontology hijacking": new ontologies published on the Web re-defining the semantics of existing entities resident in other ontologies. They then present their system for performing rule-based forward-chaining reasoning which they call SAOR: Scalable Authoritative OWL Reasoner. Based upon observed characteristics of web data and reasoning in general, they design their system to scale: the system is based upon a separation of terminological data from assertional data and comprises of a lightweight in-memory index, on-disk sorts and file-scans. The authors evaluate their methods on a dataset in the order of a hundred million statements collected from real-world Web stheirces and present scale-up experiments on a dataset in the order of a billion statements collected from the Web. [Article copies are available for purchase from InfoSci-on-Demand.com] | |
dc.publisher | IGI Global | |
dc.relation.ispartof | International Journal on Semantic Web and Information Systems | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject | authoritative reasoning | |
dc.subject | datalog | |
dc.subject | inference | |
dc.subject | owl | |
dc.subject | rdfs | |
dc.subject | reasoning | |
dc.subject | rules | |
dc.subject | scalability | |
dc.subject | semantic web | |
dc.title | Scalable authoritative owl reasoning for the web | |
dc.type | Article | |
dc.identifier.doi | 10.4018/ijswis.2009040103 | |
dc.local.publishedsource | http://www.deri.ie/fileadmin/documents/DERI-TR-2009-04-21.pdf | |
nui.item.downloads | 0 | |