Enterprise Interoperability

Author(s):  
Ejub Kajan

Many interoperable frameworks have been suggested, developed, and implemented in the past. Most of them are based on XML, web services, and semantic web technologies. In the meantime, globalization and the further development of internet and web have raised new challenges and opportunities. New form of networked organizations, known as virtual enterprises, seeks for knowledge sharing around common goals. The rise of the social and ubiquitous world, where everything is going to be connected, gives a lot of technical opportunities for electronic business, but at the same time makes new barriers due to increasing heterogeneity issues. This chapter gives an overview of main challenges, obstacles, approaches, recent research efforts, and forecasts in order to overcome recent interoperability problems.

Author(s):  
Ejub Kajan

Many interoperable frameworks have been suggested, developed and implemented in the past. Most of them are based on XML, Web services and Semantic Web technologies. In the meantime, globalization, and the further development of Internet and Web have raised new challenges and opportunities. New form of networked organizations, known as virtual enterprises, seeks for knowledge sharing around common goals. The raise of social and ubiquitous world, where everything is going to be connected gives a lot of technical opportunities for electronic business, but at same time makes new barriers due to increasing heterogeneity issues. This article gives an overview of main challenges, obstacles, approaches, recent research efforts, and forecasts in order to overcome recent interoperability problems.


2018 ◽  
pp. 978-1003
Author(s):  
Asmae El Kassiri ◽  
Fatima-Zahra Belouadha

The Online Social Networks (OSN) have a positive evolution due to the diversity of social media and the increase in the number of users. The revenue of the social media organizations is generated from the analysis of users' profiles and behaviors, knowing that surfers maintain several accounts on different OSNs. To satisfy its users, the social media organizations have initiated projects for ensuring interoperability to allow for users creating other accounts on other OSN using an initial account, and sharing content from one media to others. Believing that the future generations of Internet will be based on the semantic web technologies, multiple academic and industrial projects have emerged with the objective of modeling semantically the OSNs to ensure interoperability or data aggregation and analysis. In this chapter, we present related works and argue the necessity of a unified semantic model (USM) for OSNs; we introduce a kernel of a USM using standard social ontologies to support the principal social media and it can be extended to support other future social media.


Author(s):  
Ángel García-Crespo ◽  
Ricardo Colomo-Palacios ◽  
Juan Miguel Gómez-Berbís ◽  
Fernando Paniagua Martín

The growing influence of the Internet in current 21st-century everyday life has implied a paradigm shift in terms of relationships between customers and companies. New interaction means in the Web 1.0 have undergone a dramatic change in quantity and quality with the advent of the so-called Web 2.0, the Social Web. The upcoming Web 3.0, the Semantic Web will also impact tremendously in how companies understand Customer Relationship Management (CRM). In this dynamic environment, the present work presents a combination of both Social and Semantic Web Technologies and their application in the particular field of CRM. Tool and technology analysis both prove the challenging opportunities for these cutting-edge innovation trends in the CRM domain.


2018 ◽  
Vol 21 (2) ◽  
pp. 66
Author(s):  
Riste Stojanov ◽  
Vladimir Zdraveski ◽  
Dimitar Trajanov

The increased number of IoT devices results in continuously generated massive amounts of raw data. Parts of this data are private and highly sensitive as they reflect owner’s behavior, obligations, habits, and preferences. In this paper, we point out that flexible and comprehensive access control policies are “a must” in the IoT domain. The Semantic Web technologies can address many of the challenges that the IoT access control is facing with today. Therefore, we analyze the current state of the art in this area and identify the challenges and opportunities for improved access control in a semantically enriched IoT environment. Applying semantics to IoT access control opens a lot of opportunities, such as semantic inference and reasoning, easy data sharing, data trading, new approaches to authentication, security policies based on a natural language and enhances the interoperability using a common ontology.


Author(s):  
Alexandre Passant ◽  
Philippe Laublet ◽  
John G. Breslin ◽  
Stefan Decker

Although tagging is a widely accepted practice on the Social Web, it raises various issues like tags ambiguity and heterogeneity, as well as the lack of organization between tags. We believe that Semantic Web technologies can help solve many of these issues, especially considering the use of formal resources from the Web of Data in support of existing tagging systems and practices. In this article, we present the MOAT—Meaning Of A Tag—ontology and framework, which aims to achieve this goal. We will detail some motivations and benefits of the approach, both in an Enterprise 2.0 ecosystem and on the Web. As we will detail, our proposal is twofold: It helps solve the problems mentioned previously, and weaves user-generated content into the Web of Data, making it more efficiently interoperable and retrievable.


Author(s):  
Stavros T. Ponis ◽  
George Vagenas ◽  
Ilias P. Tatsiopoulos

The new globalized and demanding business environment of the 21st century has created a shift from traditional organizations to more loose and flexible business schemes shaped in the form of Virtual Enterprises. This transformation would never have been successful without the support of Information Technologies and particularly the Web. Internet, in the last decade, has become the universal medium of interactions between distributed entities. In this chapter, the issue of Knowledge Management support for Virtual Enterprises is discussed. Building upon the current state of the art, this chapter aims to identify the major knowledge requirements of VEs, in an effort to provide a roadmap towards a holistic Knowledge Management framework that will satisfy the excessive knowledge needs of Virtual Enterprises at the interorganizational level. In that context, the role of supporting Web and Semantic Web technologies for the enactment of KM in VEs is described in detail.


2016 ◽  
Vol 49 (04) ◽  
pp. 859-866
Author(s):  
Kenneth E. Fernandez ◽  
Jason A. Husser ◽  
Mary G. Macdonald

ABSTRACTOrganizations conducting survey research have remained of vital importance to the social sciences. However, these organizations increasingly face new challenges and opportunities. Survey operations housed in universities and colleges may face special challenges. We present a poll of pollsters, an original survey of leaders of academic survey organizations in the United States. Results explore the various methods used by academic survey organizations and perceptions of challenges in today’s academic and research environments. Responses provide an overview of the career path of academic survey leaders and how those leaders understand the primary missions of their organizations. We conclude with a discussion relevant to social scientists interested in the dynamics of operating these important academic research centers.


Author(s):  
Alexandre Passant ◽  
Sheila Kinsella ◽  
Uldis Bojars ◽  
John G. Breslin ◽  
Stefan Decker

During the last few years, the Web that we used to know as a read-only medium shifted to a read-write Web, often known as Web 2.0 or the Social Web, in which people interact, share and build content collaboratively within online communities. In order to clearly understand how these online communities are formed, evolve, share and produce content, a first requirement is to gather related data. In this chapter, we give an overview of how Semantic Web technologies can be used to provide a unified layer of representation for Social Web data in an open and machine-readable manner thanks to common models and shared semantics, facilitating data gathering and analysis. Through a comprehensive state of the art review, we describe the various models that can be applied to online communities and give an overview of some of the new possibilities offered by such a layer in terms of data querying and community analysis.


Author(s):  
R. Venkatesh ◽  
Sudarsan Jayasingh

Social media are widely used in regular operations of many companies, including start-ups, small, medium and large organizations. The Social media are fundamentally changing the way we communicate, consume, collaborate and create. It creates one of the most transformative impacts on business. The most significant consequence of social media has been the shift of power from the institution to the individual. These shifts in the consumer-brand relationship have thrown up new challenges and opportunities for business organization. Social media have transformed the ways businesses from marketing and operations to finance and human resource management. Increasingly, social media are also transforming the way businesses relate to workers, allowing them to build flexible relationships with remote talent, to crowdsource new ideas, or to engage in micro outsourcing. Social media are increasingly being used in organizations to improve relationships among employees and nurture collaboration and the sharing culture. The purpose of this research is to explore the major changes which have taken place in organization because of social media.


Author(s):  
Alexandre Passant ◽  
Philippe Laublet ◽  
John G. Breslin ◽  
Stefan Decker

Although tagging is a widely accepted practice on the Social Web, it raises various issues like tags ambiguity and heterogeneity, as well as the lack of organization between tags. We believe that Semantic Web technologies can help solve many of these issues, especially considering the use of formal resources from the Web of Data in support of existing tagging systems and practices. In this article, we present the MOAT—Meaning Of A Tag—ontology and framework, which aims to achieve this goal. We will detail some motivations and benefits of the approach, both in an Enterprise 2.0 ecosystem and on the Web. As we will detail, our proposal is twofold: It helps solve the problems mentioned previously, and weaves user-generated content into the Web of Data, making it more efficiently interoperable and retrievable.


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