Application of Semantic Web Technologies for Supporting Customer Relationship Management: a Systematic Literature Review

被引:1
作者
Georgieva-Trifonova, Tsvetanka [1 ]
Petrov, Pavel [1 ]
Milev, Vassil [1 ]
机构
[1] Univ Veliko Tarnovo, Veliko Tarnovo, Bulgaria
关键词
Semantic web technologies; customer relationship management; systematic literature review; ONTOLOGY; ANALYTICS; FRAMEWORK; SERVICE; CRM;
D O I
10.18662/brain/14.4/499
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The purpose of the present paper is to summarize the current state of the existing research on the application of Semantic web technologies in supporting customer relationship management. Its achievement includes providing answers to a set of research questions as a result of conducting a systematic literature review. A total of 44 scientific publications are identified as relevant to the topic and included in the review. Information is extracted from the selected literature sources, which is then summarized, systemized and analyzed according to the predefined research questions and finally reported. The conducted systematic literature review determines that the development of Semantic web technologies is provoked interest among researchers, as a result of which the advantages of using them for descriptions useful for various CRM purposes are investigated and practically confirmed. In addition to defining semantic models for descriptions supporting a variety of CRM activities and processes (such as customized products and services; supporting users of CRM systems; integrated offerings across channels; improved and innovative products and services; customer complaint management, etc.), various research works identify new approaches to support CRM, that can be achieved through the application of appropriate Semantic web technologies. The detailed study represented in this paper contributes to familiarization with the existing experience in the application of Semantic web technologies in supporting customer relationship management, as well as facilitates the discovery of trends and directions for future research. This is the reason for the expected interest from scientists whose research area cover the considered and similar fields; software engineers implementing CRM systems; data analysts exploring CRM domain.
引用
收藏
页码:168 / 198
页数:31
相关论文
共 82 条
[1]   Improving Recommendations for Online Retail Markets Based on Ontology Evolution [J].
Alaa, Rana ;
Gawish, Mariam ;
Fernandez-Veiga, Manuel .
ELECTRONICS, 2021, 10 (14)
[2]   A New Approach to Ontology-Based Semantic Modelling for Opinion Mining [J].
Alfrjani, Rowida ;
Osman, Taha ;
Cosma, Georgina .
2016 UKSIM-AMSS 18TH INTERNATIONAL CONFERENCE ON COMPUTER MODELLING AND SIMULATION (UKSIM), 2016, :267-272
[3]   Ontology-based approach to extract product's design features from online customers' reviews [J].
Ali, Munira Mohd ;
Doumbouya, Mamadou Bilo ;
Louge, Thierry ;
Rai, Rahul ;
Karray, Mohamed Hedi .
COMPUTERS IN INDUSTRY, 2020, 116 (116)
[4]  
[Anonymous], 2014, RDF Schema 1.1
[5]  
[Anonymous], 2008, EXTENSIBLE MARKUP LA
[6]  
[Anonymous], 2014, RDF 1.1 Concepts and Abstract Syntax
[7]  
[Anonymous], 2007, Web Services Description Language (WSDL) Version 2.0
[8]  
[Anonymous], 2012, W3C XML Schema Definition Language (XSD) 1.1 Part 1: Structures
[9]  
Ardito C., 2011, Lecture Notes in Computer Science, V6654, DOI [10.1007/978-3-642-21530-8_9, DOI 10.1007/978-3-642-21530-8_9]
[10]  
Bahrami M., 2012, Procedia - Social and Behavioral Sciences, V41, P59, DOI [10.1016/j.sbspro.2012.04.008, DOI 10.1016/J.SBSPRO.2012.04.008]