|
|
|
|
| LEADER |
00000cam a2200000 i 4500 |
| 001 |
EBSCO_on1079419976 |
| 003 |
OCoLC |
| 005 |
20231017213018.0 |
| 006 |
m o d |
| 007 |
cr cnu---unuuu |
| 008 |
181219s2018 gw o 000 0 eng d |
| 040 |
|
|
|a IOSPR
|b eng
|e rda
|e pn
|c IOSPR
|d N$T
|d OCLCO
|d EBLCP
|d MERUC
|d OCLCF
|d YDX
|d OCLCQ
|d K6U
|d OCLCA
|d OCLCQ
|d OCLCO
|d OCLCQ
|d OCLCO
|
| 019 |
|
|
|a 1078636660
|a 1078768277
|
| 020 |
|
|
|a 9781614999164
|q (electronic bk.)
|
| 020 |
|
|
|a 1614999163
|q (electronic bk.)
|
| 020 |
|
|
|z 9781614999157
|q (print)
|
| 020 |
|
|
|z 1614999155
|
| 035 |
|
|
|a (OCoLC)1079419976
|z (OCoLC)1078636660
|z (OCoLC)1078768277
|
| 037 |
|
|
|a 9781614999164
|b IOS Press
|n http://www.iospress.nl
|
| 050 |
|
4 |
|a HF5548.4.M523
|
| 072 |
|
7 |
|a COM
|x 004000
|2 bisacsh
|
| 082 |
0 |
4 |
|a 005.74
|2 23
|
| 049 |
|
|
|a UAMI
|
| 100 |
1 |
|
|a Deibe, Maribel Acosta,
|e author.
|
| 245 |
1 |
0 |
|a Query processing over graph-structured data on the web /
|c Maribel Acosta Deibe.
|
| 264 |
|
1 |
|a Karlsruhe, Germany :
|b IOS Press,
|c 2018.
|
| 300 |
|
|
|a 1 online resource
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 490 |
1 |
|
|a Studies on the semantic web ;
|v vol. 037
|
| 588 |
0 |
|
|a Online resource; title from PDF title page (IOS Press, viewed December 19, 2018).
|
| 505 |
0 |
|
|a Intro; Title Page; Contents; Introduction; Motivation; Problem Statement; Challenges and Overview of the State-of-the-Art; Challenges for Efficient SPARQL Query Processing; Challenges for Effective SPARQL Query Processing; Hypotheses and Research Questions; Contributions; Outline; Foundations of Linked Data Management; Linked Data; The Resource Description Framework (RDF); Querying RDF Data: The SPARQL Query Language; Querying RDF Data on the Web; URI Dereferencing and Link Traversal; SPARQL Endpoints; Linked Data Fragments; Foundations of Query Processing; Query Optimization
|
| 505 |
8 |
|
|a Adaptive Query ProcessingAdaptive Query Processing over Linked Data; Introduction; Research Questions; Contributions; Structure of the Chapter; Motivating Example; Related Work; Adaptive Link Traversal Approaches; Adaptive Query Processing Against SPARQL Endpoints; Query Processing Approaches Against TPF Servers; The nLDE Approach; nLDE Query Optimizer; Estimation of Query Plan Cardinalities; Placing Physical Operators; Building Query Tree Plans; nLDE Optimizer: Algorithm Description; Complexity of the nLDE Query Optimizer; nLDE Adaptive Routing Query Engine; Adaptive Operators; Eddies
|
| 505 |
8 |
|
|a Network of Linked Data Eddies (nLDE)Termination of nLDE; Correctness of nLDE; Routing Policies; Routing Policy from Eddies to Adaptive Operators; Routing Policy from Adaptive Operators to Eddies; Experimental Study; Experimental Settings; Efficiency of the nLDE Optimizer; Effectiveness of the nLDE Optimizer; Impact of the nLDE Routing-based Adaptivity on Execution Time in Perfect Networks; Effectiveness of the nLDE Routing-based Adaptivity Under the Presence of Network Delays; Summary and Future Work; Foundations of Crowdsourcing; Overview; Types of Crowdsourcing; Microtasks; Contests
|
| 505 |
8 |
|
|a Crowdsourcing WorkflowsHybrid Crowdsourcing Workflows; Human-based Workflow: Find-Fix-Verify; Crowdsourcing Query Answer Completeness over Linked Data; Introduction; Research Questions; Contributions; Structure of the Chapter; Motivating Example; Related Work; Hybrid Query Processing for Relational Data; Crowd-based Linked Data Management Applications; Web Data Quality Assessment; The HARE Approach; Problem Definition; Proposed Solution; RDF Completeness Model; Representation of the Crowd Knowledge; Crowd Contradiction; Crowd Unknownness; HARE Microtask Manager; User Interface Generator
|
| 505 |
8 |
|
|a Microtask ExecutorHARE Query Optimizer; Complexity of the HARE Query Optimizer; HARE Query Engine; A SPARQL Fuzzy Set Semantics; HARE BGP Executor; Complexity of HARE Query Evaluation; Experimental Study; Experimental Settings; HARE Crowdsourcing Capabilities; Size of Query Answer; Quality of Crowd Answers; Crowd Response Time; Summary and Future Work; Crowdsourcing Linked Data Quality Issues; Introduction; Research Questions; Contributions; Structure of the Chapter; Preliminaries: Linked Data Quality Issues; Related Work; Crowdsourcing in Linked Data Management; Web Data Quality Assessment
|
| 590 |
|
|
|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
|
| 650 |
|
0 |
|a Querying (Computer science)
|
| 650 |
|
0 |
|a Linked data.
|
| 650 |
|
2 |
|a Semantic Web
|
| 650 |
|
6 |
|a Bases de données
|x Interrogation.
|
| 650 |
|
6 |
|a Données liées.
|
| 650 |
|
7 |
|a online searching.
|2 aat
|
| 650 |
|
7 |
|a COMPUTERS
|x Intelligence (AI) & Semantics.
|2 bisacsh
|
| 650 |
|
7 |
|a Linked data
|2 fast
|
| 650 |
|
7 |
|a Querying (Computer science)
|2 fast
|
| 710 |
2 |
|
|a IOS Press.
|
| 776 |
0 |
8 |
|i Print version:
|a Deibe, Maribel Acosta.
|t Query processing over graph-structured data on the web.
|d Karlsruhe, Germany : IOS Press, 2018
|z 1614999155
|z 9781614999157
|w (OCoLC)1056693552
|
| 830 |
|
0 |
|a Studies on the Semantic Web ;
|v v. 037.
|
| 856 |
4 |
0 |
|u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1966064
|z Texto completo
|
| 938 |
|
|
|a ProQuest Ebook Central
|b EBLB
|n EBL5611336
|
| 938 |
|
|
|a EBSCOhost
|b EBSC
|n 1966064
|
| 938 |
|
|
|a YBP Library Services
|b YANK
|n 15884068
|
| 994 |
|
|
|a 92
|b IZTAP
|
