Matches in SemOpenAlex for { <https://semopenalex.org/work/W3040206323> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W3040206323 endingPage "12" @default.
- W3040206323 startingPage "1" @default.
- W3040206323 abstract "The efficient evaluation of top-k queries is crucial for many applications where a huge quantity of data should be ranked and sorted to return the best answers to users in a reasonable time. Examples include, e-commerce platforms (e.g., amazon.com), multimedia sharing platforms, web databases, etc. Most often, these applications need to retrieve data from autonomous data sources. The access to these data sources is carried out through popular Web APIs, such as data web services, to provide a standard way to interact with data. In this context, users’ queries often require the composition of multiple data services to be answered. Most of existing solutions for the evaluation of top-k queries assume data services to provide both sorted and random accesses to data or only a sorted access. In practice, however, some services may provide only a random access to data, which could impact the performance of the solutions. In this paper, we propose an approach to optimize the evaluation of top-k queries over data services. We consider the worst case scenario when services provide only a random access to data. Our approach defines two strategies: Pipeline Parallel Strategy and Necessary Invocation Principle to reduce the composition processing time and the number of unnecessary service invocations. Conducted experiments showcased the scalability and efficiency of our solution." @default.
- W3040206323 created "2020-07-10" @default.
- W3040206323 creator A5011583759 @default.
- W3040206323 creator A5026225688 @default.
- W3040206323 creator A5035889360 @default.
- W3040206323 creator A5069059137 @default.
- W3040206323 creator A5077093273 @default.
- W3040206323 date "2020-12-01" @default.
- W3040206323 modified "2023-09-26" @default.
- W3040206323 title "Top-<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline id=d1e171 altimg=si183.svg><mml:mi>k</mml:mi></mml:math> query optimization over data services" @default.
- W3040206323 cites W1966738607 @default.
- W3040206323 cites W1998152264 @default.
- W3040206323 cites W2007377870 @default.
- W3040206323 cites W2009688537 @default.
- W3040206323 cites W2010712525 @default.
- W3040206323 cites W2014784356 @default.
- W3040206323 cites W2042100534 @default.
- W3040206323 cites W2092158696 @default.
- W3040206323 cites W2099797738 @default.
- W3040206323 cites W2137190350 @default.
- W3040206323 cites W2143682328 @default.
- W3040206323 cites W2149229615 @default.
- W3040206323 cites W2743114144 @default.
- W3040206323 cites W2758590854 @default.
- W3040206323 cites W2952154529 @default.
- W3040206323 cites W2963718641 @default.
- W3040206323 doi "https://doi.org/10.1016/j.future.2020.06.052" @default.
- W3040206323 hasPublicationYear "2020" @default.
- W3040206323 type Work @default.
- W3040206323 sameAs 3040206323 @default.
- W3040206323 citedByCount "1" @default.
- W3040206323 countsByYear W30402063232022 @default.
- W3040206323 crossrefType "journal-article" @default.
- W3040206323 hasAuthorship W3040206323A5011583759 @default.
- W3040206323 hasAuthorship W3040206323A5026225688 @default.
- W3040206323 hasAuthorship W3040206323A5035889360 @default.
- W3040206323 hasAuthorship W3040206323A5069059137 @default.
- W3040206323 hasAuthorship W3040206323A5077093273 @default.
- W3040206323 hasConcept C124101348 @default.
- W3040206323 hasConcept C136764020 @default.
- W3040206323 hasConcept C151730666 @default.
- W3040206323 hasConcept C199360897 @default.
- W3040206323 hasConcept C23123220 @default.
- W3040206323 hasConcept C2779343474 @default.
- W3040206323 hasConcept C35578498 @default.
- W3040206323 hasConcept C41008148 @default.
- W3040206323 hasConcept C43521106 @default.
- W3040206323 hasConcept C47487241 @default.
- W3040206323 hasConcept C48044578 @default.
- W3040206323 hasConcept C77088390 @default.
- W3040206323 hasConcept C86803240 @default.
- W3040206323 hasConceptScore W3040206323C124101348 @default.
- W3040206323 hasConceptScore W3040206323C136764020 @default.
- W3040206323 hasConceptScore W3040206323C151730666 @default.
- W3040206323 hasConceptScore W3040206323C199360897 @default.
- W3040206323 hasConceptScore W3040206323C23123220 @default.
- W3040206323 hasConceptScore W3040206323C2779343474 @default.
- W3040206323 hasConceptScore W3040206323C35578498 @default.
- W3040206323 hasConceptScore W3040206323C41008148 @default.
- W3040206323 hasConceptScore W3040206323C43521106 @default.
- W3040206323 hasConceptScore W3040206323C47487241 @default.
- W3040206323 hasConceptScore W3040206323C48044578 @default.
- W3040206323 hasConceptScore W3040206323C77088390 @default.
- W3040206323 hasConceptScore W3040206323C86803240 @default.
- W3040206323 hasLocation W30402063231 @default.
- W3040206323 hasLocation W30402063232 @default.
- W3040206323 hasLocation W30402063233 @default.
- W3040206323 hasOpenAccess W3040206323 @default.
- W3040206323 hasPrimaryLocation W30402063231 @default.
- W3040206323 hasRelatedWork W103304047 @default.
- W3040206323 hasRelatedWork W1506576323 @default.
- W3040206323 hasRelatedWork W2324568417 @default.
- W3040206323 hasRelatedWork W2348925352 @default.
- W3040206323 hasRelatedWork W2361224859 @default.
- W3040206323 hasRelatedWork W2364921833 @default.
- W3040206323 hasRelatedWork W2375033178 @default.
- W3040206323 hasRelatedWork W2388030554 @default.
- W3040206323 hasRelatedWork W2461970972 @default.
- W3040206323 hasRelatedWork W2154301267 @default.
- W3040206323 hasVolume "113" @default.
- W3040206323 isParatext "false" @default.
- W3040206323 isRetracted "false" @default.
- W3040206323 magId "3040206323" @default.
- W3040206323 workType "article" @default.
