Results of SemTab 2022

SemTab 2022 was the fourth edition of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, successfully collocated with the 21st International Semantic Web Conference (ISWC) and the 17th Ontology Matching (OM) Workshop. SemTab provides a common framework to conduct a systematic evaluation of state-of-the-art systems. In this paper, we give an overview of the 2022’s edition of the challenge and summarize the results

Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers

Big Data processing, especially with the increasing proliferation of Internet of Things (IoT) technologies and convergence of IoT, edge and cloud computing technologies, involves handling massive and complex data sets on heterogeneous resources and incorporating different tools, frameworks, and processes to help organizations make sense of their data collected from various sources. This set of operations, referred to as Big Data workflows, requires taking advantage of Cloud infrastructures’ elasticity for scalability. In this article, we present the design and prototype implementation of a Big Data workflow approach based on the use of software container technologies, message-oriented middleware (MOM), and a domain-specific language (DSL) to enable highly scalable workflow execution and abstract workflow definition. We demonstrate our system in a use case and a set of experiments that show the practical applicability of the proposed approach for the specification and scalable execution of Big Data workflows. Furthermore, we compare our proposed approach’s scalability with that of Argo Workflows – one of the most prominent tools in the area of Big Data workflows – and provide a qualitative evaluation of the proposed DSL and overall approach with respect to the existing literature.publishedVersio

Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers

Big Data processing, especially with the increasing proliferation of Internet of Things (IoT) technologies and convergence of IoT, edge and cloud computing technologies, involves handling massive and complex data sets on heterogeneous resources and incorporating different tools, frameworks, and processes to help organizations make sense of their data collected from various sources. This set of operations, referred to as Big Data workflows, requires taking advantage of Cloud infrastructures’ elasticity for scalability. In this article, we present the design and prototype implementation of a Big Data workflow approach based on the use of software container technologies, message-oriented middleware (MOM), and a domain-specific language (DSL) to enable highly scalable workflow execution and abstract workflow definition. We demonstrate our system in a use case and a set of experiments that show the practical applicability of the proposed approach for the specification and scalable execution of Big Data workflows. Furthermore, we compare our proposed approach’s scalability with that of Argo Workflows – one of the most prominent tools in the area of Big Data workflows – and provide a qualitative evaluation of the proposed DSL and overall approach with respect to the existing literature.publishedVersio

What makes firms great at digital marketing? A qualitative analysis of firms’ digital marketing capabilities.

Digital marketing is a well-researched field and a rapidly transforming function that requires continuous adaption from employees. Extant work on digital marketing identified that new technologies and digitalization are valuable and enable firms to improve their processes to become more efficient. However, previous research focused solely on specific aspects separately, without addressing the lack of a holistic understanding of digital marketing effectiveness, and how to link capabilities, strategy, and practice. To address this gap, I examine how and why firms can be successful at digital marketing at the organizational level. I answer this question by using a qualitative approach, where I collected a combination of archival and interview data with digital marketing experts and executives. My analysis highlights how a culture of optimization, based on six key values, facilitates the integration of digital marketing capabilities into daily processes such as iterative strategizing that adaptable employees, that are responsible learners, can exploit to contribute to digital marketing excellence. This study has several theoretical and managerial implications, which are discussed in turn

Разработка и внедрение системы сквозной аналитики с использованием инструментов цифрового маркетинга на примере ООО «ЦКМ»

Объектом исследования является ООО «ЦКМ». Предметом исследования является система сквозной аналитики в бизнес-процессах ООО «ЦКМ». Цель работы – исследование, разработка системы сквозной аналитики и оценка результатов ее внедрения на примере ООО «ЦКМ». В результате исследования была разработана и внедрена система сквозной аналитики для ООО «ЦКМ» и проанализированы результаты от ее внедренияThe object of the study is LLC "CMC". The subject of the study is a system of end-to-end analytics in the business processes of LLC "CMC". The purpose of the work is to research, develop a system of end–to-end analytics and evaluate the results of its implementation on the example of LLC "CMC". As a result of the research, a system of end-to-end analytics was developed and implemented for LLC "CMC" and the results of its implementation were analyze