Return on Investment in Linking Content to CRM by Applying the Linked Data Stack

被引:0
作者
Hladky, Daniel [1 ,2 ]
Maltseva, Svetlana [1 ]
Ogorodniychuk, Dmitriy [1 ]
Drobyazko, Grigory [1 ]
Voigt, Martin [2 ]
Le Grange, Jon Jay [2 ]
机构
[1] Natl Res Univ, HSE, Moscow, Russia
[2] Ontos AG, CH-5260 Nidau, Switzerland
来源
KNOWLEDGE ENGINEERING AND THE SEMANTIC WEB, KESW 2014 | 2014年 / 468卷
关键词
Linked Data; CRM; ROI; GeoKnow Workbench; information integration; Semantic Web;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Today decision makers in enterprises have to rely more and more on a variety of data sets that are internally but also externally available in heterogeneous formats. Therefore, intelligent processes are required to build an integrated knowledge base. Unfortunately, the adoption of the Linked Data lifecycle within enterprises, which targets the extraction, interlinking, publishing, and analytics of distributed data, lags behind the public domain due to the lack of frameworks which are efficient to deploy and easy to use. In this paper we present our adoption of the lifecycle through our generic, enterprise-ready Linked Data workbench. To judge its benefits, we describe its application within a real-world Customer Relationship Management (CRM) scenario. It shows (1) that sales employees could significantly reduce their workload and (2) that the integration of sophisticated Linked Data tools come with an obvious positive Return on Investment (ROI).
引用
收藏
页码:76 / 89
页数:14
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