Intelligence Service Schema: A Semantic Metadata Model for Service Discovery in the Intelligence Layer

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Journal Title

Journal ISSN

Volume Title

Perustieteiden korkeakoulu | Master's thesis

Date

2020-10-20

Department

Major/Subject

Data Science

Mcode

SCI3095

Degree programme

Master's Programme in ICT Innovation

Language

en

Pages

59

Series

Abstract

The problem of engrained intelligence functionality in Internet of Things (IoT) applications is discussed. Offering intelligence services to applications through a separate layer is discussed as an alternative. Two important advantages are improved life-cycle management and increased potential of value sharing. A solution that allows device owners to install intelligence services that can be used by local applications is suggested. This thesis explores discovery process and the representation of such intelligence services through the use of a metadata schema, the Intelligence Service Schema. This schema allows for semantic description of intelligence services which makes advanced service discovery possible through the semantic query language SPARQL.

Description

Supervisor

Hyvönen, Eero

Thesis advisor

Ramos, Edgar

Keywords

intelligence service discovery, semantics, AI distribution, intelligence description, intelligence market

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