Paper Info
Title
Construction Of Linked Data Platform Implementing Feedback Data Model Of Usage Records
Abstract
Linked Open Data (LOD) is one of the methods that enables publishing and sharing of data on the Web, and makes data available for many applications. Maintaining the volume and quality of data in LOD requires to keep on engaging people in inputting data. One of the solutions is motivating data producers to input data by giving incentives. However, LOD does not track how data has been used by which applications. In order to track records, data of LOD need to be instantiated to represent who produced it and which applications used it. This paper proposes resource representation by hash value in order to realize instantiation of triple data efficiently according to the concept of RDF which uniquely express instance by URI. This paper also proposes data processing by utilizing the standard SPARQL query to instantiate triple data and feed back usage records to data producers. This paper contributes to showing feasibility of feedback model by building data platform and developing an application enabling people to entry information about spots in town, and by conducting a workshop with people living in Nagasaki city.
Year
DOI
Venue
2019
10.1109/ICCE.2019.8661975
2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE)
Field
DocType
ISSN
Monad (category theory),Data processing,Computer science,Linked data,SPARQL,Electronic engineering,Hash function,Data model,Database,RDF,Linked Data Platform
Conference
2158-3994
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Makoto Urakawa100.34
Kenichi Arai299.80
Toru Kobayashi32420.21