Changes for page LPaaS
From version 11.1
edited by Andrea Omicini
on 10/08/2021 14:55
on 10/08/2021 14:55
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To version 18.1
edited by Andrea Omicini
on 18/11/2021 17:43
on 18/11/2021 17:43
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Summary
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... ... @@ -1,1 +1,1 @@ 1 -L ogicProgrammingas aService(LPaaS)1 +LPaaS Home - Content
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... ... @@ -1,11 +1,20 @@ 1 -{{in cludereference="Main.MacroSheet"/}}{{include reference ="Publications.MacroSheet"/}}{{include reference="LPaaS.MacroSheet"/}}{{velocity}}2 - >#lpaasfull() (#lpaas())is anevolution of the logic programming paradigm for intelligentIoT. It is a logic-based, service-oriented approach for distributed situated intelligence, conceived and designed as the natural evolution ofLPin nowadays pervasive computing systems. Its purposeis to enable situated reasoningviaexplicit definition of the spatial-temporal structure of the environmentwhere situated entities act and interact.1 +={{stringIta}}Home di {{/stringIta}}{{lpaas/}}{{stringEng}} Home{{/stringEng}}= 2 +{{include reference="LPaaS.Environment"/}}{{velocity}} 3 3 4 -= =#lpaasfull() in#tuprolog()==4 +{{lpaas short='no'/}} ({{lpaas/}}) is an evolution of the logic programming (LP) paradigm for intelligent IoT. It is a logic-based, service-oriented approach for distributed situated intelligence, conceived and designed as the natural evolution of LP in nowadays pervasive computing systems. Its purpose is to enable situated reasoning via explicit definition of the spatial-temporal structure of the environment where situated entities act and interact. 5 5 6 -#lpaas() in #tuprolog() consists in the #lpaas() implementation built on top of the tuProlog system, that makes it possible to build distributed intelligent IoT environment distributing reasoning and inference capabilities amongst the components they have, and let them balance the computational requirements to best suit the deployment scenario at hand—for instance, embedding #lpaas() in more powerful components and letting ask their services by need. 7 -The repository contains prototype implementations built on top of the #tuprolog() system, which provides the required interoperability and customisation. 8 -LPaaS is released under the GNU Lesser General Public License, via [[GitLab>>https://gitlab.com/pika-lab/lpaas]] as a Git repository. 9 -The #lpaas() RESTful API documentation can be found [[here>>https://app.swaggerhub.com/apis/PIKA-lab/LPaaS/1]]. 6 +>About {{lpaas/}} 7 + 8 +* Main paper 9 +** {{pub}}LpaasTplp18{{/pub}} 10 + 11 +>{{lpaas/}} Technology 12 + 13 +>>{{lpaas/}} in {{2p/}} (2Paas) 14 + 15 +{{lpaas/}} in {{2p/}} consists in the {{lpaas/}} implementation built on top of the tuProlog system, that makes it possible to build distributed intelligent IoT environment distributing reasoning and inference capabilities amongst the components they have, and let them balance the computational requirements to best suit the deployment scenario at hand—for instance, embedding {{lpaas/}} in more powerful components and letting ask their services by need. 16 +The repository contains prototype implementations built on top of the {{2p/}} system, which provides the required interoperability and customisation. 17 +{{lpaas/}} is released under the GNU Lesser General Public License, via [[GitLab>>https://gitlab.com/pika-lab/lpaas]] as a Git repository. 18 +The {{lpaas/}} RESTful API documentation can be found [[here>>https://app.swaggerhub.com/apis/PIKA-lab/LPaaS/1]]. 10 10 {{/velocity}} 11 11