A short survey of linked data ranking

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dc.contributor.authorYumusak S.
dc.contributor.authorDogdu E.
dc.contributor.authorKodaz H.
dc.date.accessioned2020-03-26T18:58:58Z
dc.date.available2020-03-26T18:58:58Z
dc.date.issued2014
dc.departmentSelçuk Üniversitesien_US
dc.description2014 ACM Southeast Regional Conference, ACM SE 2014 -- 28 March 2014 through 29 March 2014 -- 113612en_US
dc.description.abstractLinked data systems are still far from maturity. Hence, the basic principles are still open for discussion. In our study on building a novel linked data search engine, we have surveyed fundamental methods of internet search technologies in the context of linked data crawling, indexing, ranking, and monitoring. The scope of this ranking survey covers linked data related statistical ranking, database ranking, document level ranking, and Web ranking techniques. In order to classify the linked data ranking methods, we identified a number of categories. These categories are ontology ranking, RDF ranking, graph ranking, entity ranking, document/domain ranking. At the end of the survey, we have listed the ranking techniques based on the well-known PageRank algorithm. Copyright 2014 ACM.en_US
dc.identifier.doi10.1145/2638404.2638523en_US
dc.identifier.isbn9.78145E+12
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://dx.doi.org/10.1145/2638404.2638523
dc.identifier.urihttps://hdl.handle.net/20.500.12395/31360
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherAssociation for Computing Machinery, Incen_US
dc.relation.ispartofProceedings of the 2014 ACM Southeast Regional Conference, ACM SE 2014en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectData processingen_US
dc.subjectInformation retrievalen_US
dc.subjectRankingen_US
dc.titleA short survey of linked data rankingen_US
dc.typeConference Objecten_US

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