Ontology-based Natural Language Processing for In-store Shopping Situations
Type
conference paper
Date Issued
2009-07-01
Author(s)
Abstract
Natural Language communication between customers and products within in-store shopping environments enables new forms of product interfaces and an improved filtering and intuitive presentation of product information. In this article, we describe how customer's access to product information at the point of sale can be improved through the use of dialogue systems and heterogeneous web-based representations of product information based on formal ontologies within in-store shopping environments. After considering specific requirements of in-store shopping environments on dialogue systems, we present the model of a Conversational Recommendation Agent (CoRA), a domain-specific dialogue system, which realizes an ontology-based Natural Language Processing system for shopping situations
Language
English
Keywords
Natural Language Processing
Ontology
Web-based representations
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
IEEE
Start page
1
End page
6
Pages
6
Event Title
3rd IEEE International Conference on Semantic Computing (ICSC 2009)
Event Location
Berkley, California, USA
Event Date
14.-16.09.2009
Subject(s)
Division(s)
Eprints ID
106041
File(s)![Thumbnail Image]()
Name
Janzen Maass 2009 Ontology-based NLP for In-store Shopping Situations.pdf
Size
6.58 MB
Format
Adobe PDF
Checksum (MD5)
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