LPaaS as Micro-intelligence: Enhancing IoT with Symbolic Reasoning


Roberta Calegari, Giovanni Ciatto, Stefano Mariani, Enrico Denti, Andrea Omicini

Big Data and Cognitive Computing 2(3), article 23 (26 pages)
2018

In the era of Big Data and IoT, successful systems have to be designed to discover, store, process, learn, analyse, and predict from a massive amount of data—in short, they have to behave intelligently. Despite the success of non-symbolic techniques such as deep learning, still symbolic approaches to machine intelligence have a role to play in order to achieve key properties such as observability, explainability, and accountability. In this paper we focus on logic programming (LP), and advocate its role as a provider of symbolic reasoning capabilities in IoT scenarios, suitably complementing non-symbolic ones. In particular, we show how its re-interpretation in terms of LPaaS (Logic Programming as a Service) can work as an enabling technology for distributed situated intelligence. A possible example of hybrid reasoning – where symbolic and non-symbolic techniques fruitfully combine to produce intelligent behaviour – is presented, demonstrating how LPaaS could work in a smart energy grid scenario.

(keywords) Logic Programming as a Service, IoT, symbolic reasoning

Journals & Series

Publications

Publications / Views

Home

Clouds
•  tags  •  authors  •  editors  •  journals  

Year
 2023    2022    2021    2020    2019    2018    2017    2016    2015    2014–1927

Sort
•  in journal  •  in proc  •  chapters  •  books  •  edited  •  spec issues  •  editorials  •  entries  •  manuals  •  tech reps  •  phd th  •  others  

Status
•  online  •  in press  •  proof  •  camera-ready  •  revised  •  accepted  •  revision  •  submitted  •  draft  •  note  

Services
•  ACM Digital Library  •  DBLP  •  IEEE Xplore  •  IRIS  •  PubMed  •  Google Scholar  •  Scopus  •  Semantic Scholar  •  Web of Science  •  DOI  

Publication

— authors

— status

published

— sort

article in journal

— publication date

2018

— journal

Big Data and Cognitive Computing

— volume

2

— issue

3

— article no.

23

— number of pages

26

URLs

original page  |  original PDF

identifiers

— DOI

10.3390/bdcc2030023

— DBLP

journals/fuin/CalegariDDO18

— IRIS

11585/640012

— Scholar

247396456770353218

— Scopus

2-s2.0-85075881133

— online ISSN

2504-2289

Partita IVA: 01131710376 — Copyright © 2008–2023 APICe@DISI – PRIVACY