Paper Info
Title
Optimising Coverage, Freshness and Diversity in Live Exploration-based Linked Data Queries.
Abstract
Centralised indexes and distributed query federation-based approaches towards executing queries over distributed Linked Open Data are currently limited when it comes to providing complete coverage and up-to-date results. However, live exploration-based query execution, in accordance with the Linked Open Data publishing principles, dereferences Internationalised Resource Identifiers (IRI)s on the fly in order to provide results from Linked Data anywhere on the Web. We propose and investigate similarity search-based strategies for dereferencing IRIs during live exploration-based querying in order to maximise user criteria of coverage, freshness and diversity within a limited execution time, in contrast to existing approaches which may provide complete results but within response times that are too high to be useful within many practical applications. Results are presented from a set of sample queries comparing the IRI selection strategies with existing approaches showing that coverage, freshness and diversity can be improved by up to 30%.
Year
DOI
Venue
2016
10.1145/2912845.2912859
WIMS
Field
DocType
Citations 
Data mining,Identifier,Information retrieval,Computer science,Linked data,On the fly,Execution time,Nearest neighbor search,Database
Conference
0
PageRank 
References 
Authors
0.34
16
6
Name
Order
Citations
PageRank
Steven J. Lynden1799.38
Makoto Yui2152.52
Akiyoshi Matono37910.05
Akihito Nakamura418613.90
Hirotaka Ogawa519623.58
Isao Kojima614320.38