Paper Info
Title
Data Structuring for Launching Web Services Triggered by Media Content.
Abstract
There are some efforts to inspire the viewers to buy something or visit somewhere when they are viewing such objects or places on the TV programs or web sites. It is required to link some specific services, which can be run on smartphones or tablets, to content on TV or a web site. However, simple combination of content and possible services still requires some operations taken by the viewers such as typing search words in the applications or the pages of the services. Such required actions may decline their motivations to use the services. Therefore, the authors propose the data model that allows to seek matching of an entity within content with various services, and to generate service launch information dynamically changed by combination of an entity and a service. The data model is based on combination of ontology class structure and reasoning. In this paper, effectiveness of the data model is shown by the prototype applications which call various web services to inspire viewers for subsequent actions in accordance with media content.
Year
DOI
Venue
2017
10.1007/978-3-319-70682-5_2
Lecture Notes in Computer Science
Keywords
Field
DocType
Ontology,Resource description framework,Knowledge base,Linked data,Semantic web rule language,Inference,Ifttt
Ontology,World Wide Web,Computer science,Linked data,Knowledge base,Web service,Structuring,Semantic Web Rule Language,Multimedia,Data model,RDF
Conference
Volume
ISSN
Citations 
10675
0302-9743
0
PageRank 
References 
Authors
0.34
8
2
Name
Order
Citations
PageRank
Makoto Urakawa100.34
Hiroshi Fujisawa264.52