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Towards a sales assistant using a product knowledge graph

Authors
Kim, Haklae
Issue Date
Oct-2017
Publisher
ELSEVIER SCIENCE BV
Keywords
Product knowledge; Knowledge graph; Knowledge base; Ontology; Intelligent assistant
Citation
JOURNAL OF WEB SEMANTICS, v.46-47, pp 14 - 19
Pages
6
Journal Title
JOURNAL OF WEB SEMANTICS
Volume
46-47
Start Page
14
End Page
19
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/45492
DOI
10.1016/j.websem.2017.03.001
ISSN
1570-8268
1873-7749
Abstract
The phenomenal growth in the consumer electronics industry over the last decade is mainly due to rapid advances in integration technologies. The market is ever evolving with new products made available on a frequent basis. However, typically, the average consumer tends to have insufficient knowledge of the features and functions of an electronic device. Although most manufacturers provide product specifications, they are often difficult for consumers to understand and it is hard for customers to grasp the details of a product. This study introduces the concept of a product knowledge graph, which is constructed by transforming a set of data from a product management system and external data. This study overcomes the technical barriers for customers with the use of knowledge graph technologies. To construct large-scale product knowledge, an ontology model is designed and a platform for knowledge extraction and transformation is also developed. Then, a sales assistant called God of Sales is demonstrated. This study provides a novel approach to explaining product features and functions in a comprehensive manner with semantic recommendations. (c) 2017 Elsevier B.V. All rights reserved.
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Kim, Hak Lae
사회과학대학 (문헌정보학과)
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