A formal framework for comparing linked data fragments
Author
dc.contributor.author
Hartig, Olaf
Author
dc.contributor.author
Letter, Ian
Author
dc.contributor.author
Pérez, Jorge
Admission date
dc.date.accessioned
2019-05-29T13:39:12Z
Available date
dc.date.available
2019-05-29T13:39:12Z
Publication date
dc.date.issued
2017
Cita de ítem
dc.identifier.citation
Lecture Notes in Computer Science , LNCS, Volumen 10587, 2017
Identifier
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16113349
Identifier
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03029743
Identifier
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10.1007/978-3-319-68288-4_22
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/169038
Abstract
dc.description.abstract
The Linked Data Fragment (LDF) framework has been proposed as auniform view to explore the trade-offs of consuming Linked Data when serversprovide (possibly many) different interfaces to access their data. Every such in-terface has its own particular properties regarding performance, bandwidth needs,caching, etc. Several practical challenges arise. For example, before exposing anew type of LDFs in some server, can we formally say something about how thisnew LDF interface compares to other interfaces previously implemented in thesame server? From the client side, given a client with some restricted capabilitiesin terms of time constraints, network connection, or computational power, whichis the best type of LDFs to complete a given task? Today there are only a fewformal theoretical tools to help answer these and other practical questions, andresearchers have embarked in solving them mainly by experimentation.In this paper we propose theLinked Data Fragment Machine(LDFM) which isthe first formalization to model LDF scenarios. LDFMs work as classical Tur-ing Machines with extra features that model the server and client capabilities. Byproving formal results based on LDFMs, we draw a fairly completeexpressive-ness latticethat shows the interplay between several combinations of client andserver capabilities. We also show the usefulness of our model to formally analyzethe fine grain interplay between several metrics such as the number of requestssent to the server, and the bandwidth of communication between client and server.