A short survey of linked data ranking
Küçük Resim Yok
Tarih
2014
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Association for Computing Machinery, Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Linked 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.
Açıklama
2014 ACM Southeast Regional Conference, ACM SE 2014 -- 28 March 2014 through 29 March 2014 -- 113612
Anahtar Kelimeler
Data processing, Information retrieval, Ranking
Kaynak
Proceedings of the 2014 ACM Southeast Regional Conference, ACM SE 2014
WoS Q Değeri
Scopus Q Değeri
N/A
