Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/5540
Title: | A short survey of linked data ranking | Authors: | Yumuşak, S. Doğdu, Erdoğan Kodaz, H. |
Keywords: | Data processing Information retrieval Ranking |
Publisher: | Association for Computing Machinery, Inc | Source: | 2014 ACM Southeast Regional Conference, ACM SE 2014, 28 March 2014 through 29 March 2014, , 113612 | Abstract: | 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. | URI: | https://doi.org/10.1145/2638404.2638523 https://hdl.handle.net/20.500.11851/5540 |
ISBN: | 9781450329231 |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
Show full item record
CORE Recommender
SCOPUSTM
Citations
4
checked on Nov 16, 2024
Page view(s)
42
checked on Nov 11, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.