Introducing the Common Non-Functional Ontology

2014

Today's global free-market enterprise is reliant on the interconnectedness of social, economic and political ecosystems. Enterprises no longer maintain a simple unary relationship between its customers and consumers. Enterprises have become an integral part of a complex relationship within the new socio-and techno-economic paradigm. The cornerstone of this new model is the Internet formed from a collection of eclectic commodity-based and inconsistently constructed technologies that, at an aggregate level, do not lend themselves to provide a secure and trustworthy channel to conduct or transact business. Enterprises have struggled to implement an appropriate and continuous level of protection in part by underestimating the effect of organizational complexity and not adopting a holistic (systems thinking) approach to the problem of enterprise security. This research paper examines key issues that undermine the ability of enterprises to formulate effective and viable security model...

The knowledge engineering …, 1998

This document presents the Enterprise Ontology, a collection of terms and de nitions relevant to business enterprises. It was developed as part of the Enterprise Project, a collaborative e ort to provide a framework for enterprise modelling. The Enterprise Ontology will serve as a basis for this framework which includes methods and a computer toolset for enterprise modelling. We give an overview of the Enterprise Project, elaborate on the intended use of the Ontology, and discuss the process we went through to build it. The scope of the Enterprise Ontology is limited to those core concepts required for the project, however it is expected that it will appeal to a wider audience. It should not be considered static; during the course of the project, the Enterprise Ontology will be further re ned and extended.

2007

The last years have seen the emergence of standards for capturing security and privacy aspects of information systems [Ashley et al., 2003, Cranor et al., 2002, OASIS, 2005]. Those standards provide language constructs but offer no methodological tool for actually making design decisions. In this setting, the inclusion of security features within the system design is usually done after the functional design phase.

Proceedings of the International Conference on Knowledge Engineering and Ontology Development, 2014

The aim of this work focused on the content of the subject "Enterprise Ontology". We present our ongoing work on analysing literature about enterprise ontology models. The provision of this analysis is on the one hand a summary of some previously published papers according to the topic and at the same time a precise differentiation can be documented between each work. Our contributions are twofold: first, we show how to find appropriate literature according to specific criteria and second, we answer special research questions which belong to "Enterprise Ontology". Moreover, the results of the different authors presented in this paper are innovative visions about creating and implementing tools or ontological models. 2 ENTERPRISE ONTOLOGY An ontology is an explicit specification of a conceptualization (Gruber, 1995). The ontology includes definitions of concepts and an indication of how concepts are interrelated which collectively impose a structure on the domain and constrain the possible interpretations of terms (Uschold, 1995). The ontology is used to improve communication between either humans or computers. In the concrete, the ontology is used to assist in communication between human agents, to achieve interoperability among computer systems, or to improve the process and/or quality of engineering software systems (Jasper and Uschold, 1999). The combination of the computer systems of an enterprise, their connections to each other and the related exchange of information can be seen as the Enterprise Architecture (EA) (Stelzer 2010; Hanschke 2009; Meyer and Birsöz, 2009; Rosauer et al., 2004; Feldschmid, 2009). Therefore, if the Enterprise Architecture is defined in an ontology, communication problems in EA related tasks can be reduced. Ontologies provide a tool for communication and for formalization. Concretely, stakeholders of an enterprise can share exact and common interpretations of the Enterprise Architecture and its components. Furthermore, systems interoperability can be improved. This fosters internal system integration

18th International Conference on Database and Expert Systems Applications (DEXA 2007), 2007

If we try to increase the level of automation in Enterprise Application Integration (EAI) scenarios, we confront challenges related to the resolution of data heterogeneities, service discovery and process composition. In this paper, we propose the Enterprise Interoperability Ontology (ENIO) that provides a shared, common understanding of data, services and processes within enterprise application integration scenarios. ENIO consists of an Upper EAI ontology, which is based on the DOLCE-SUMO alignment, with extensions called facets that cover several dimensions of the EAI domain. Each facet contains a relative meta-model that utilizes widely adopted standards 18th International Workshop on Database and Expert Systems Applications 1529-4188/07 $25.00

International Journal of Networking and Virtual Organisations, 2011

Semantic interoperability is a crucial issue in industrial enterprises when they participate in virtual organisations (VOs), i.e., when they dynamically form network-based collaborative alliances of a temporary nature. Addressing semantic heterogeneities aims to ensure that the meaning of information exchanged by VOs is interpreted in the same way by all communicating parties and their systems. In this paper we examine how ontologies can be employed by a system of services for delivering interoperability to enterprises, independent of particular IT deployments. In order to support interoperability service utilities in VOs, this paper presents a top-level ontology for collaborative networked organisations (code named OCEAN). The OCEAN ontology is designed as a lightweight top-level ontology that provides a common terminological reference in terms of VOs. The paper also demonstrates the use of practical tools for achieving consensus of the shared conceptualisation of a virtual organisation (VO), among participants, while it outlines a service-oriented architecture (SOA) for supporting VO knowledge based collaborations using OCEAN. We demonstrate how that usage enables shared understanding in knowledge-intensive collaborations, as well as how it facilitates interoperability of applications that provide collaboration services, presenting concrete examples from the pharmaceutical industry.

Open J. Cloud Comput., 2017

Cloud computing is a business paradigm where two important roles must be defined: provider and consumer. Providers offer services (e.g. web application, web services, and databases) and consumers pay for using them. The goal of this research is to focus on security and compliance aspects of cloud service. An ontology is introduced, which is the conceptualization of cloud domain, for analyzing different compliance aspects of cloud agreements. The terms, properties and relations are shown in a diagram. The proposed ontology can help service consumers to extract relevant data from service level agreements, to interpret compliance regulations, and to compare different contractual terms. Finally, some recommendations are presented for cloud consumers to adopt services and evaluate security risks.

Journal of Industrial Information Integration, 2019

Enterprise Interoperability is a requirement for ensuring an effective collaboration within a network of enterprises. Therefore, interoperability should be continuously assessed and improved for avoiding collaboration issues. To do so, an interoperability assessment can be performed by the concerned enterprises. Such an assessment provides an overview of the enterprise systems' strengths and weaknesses regarding interoperability. A plethora of assessment approaches are proposed in the literature. The majority of them focus on one single aspect of interoperability. In general, to have a holistic view of the assessed systems, i.e. consider different aspects, enterprises have to apply different approaches. However, the application of multiple approaches may cause redundancy and confusion when assessing the same system using different metrics and viewpoints. Therefore, this article is to propose an ontology for interoperability assessment. The main objective of such an ontology is to provide a sound description of all relevant concepts and relationships regarding an interoperability assessment. Inference rules are also provided for reasoning on interoperability problems. A case study based on a real enterprise in presented to evaluate the proposed ontology.

… Resources (LaRC-11 …, 2011

Even though ontologies are widely being used to enable interoperability in information-rich endeavours, there is currently no unified framework for ontology interoperability itself. Surprisingly little of the state of the art in modularity and structuring, e.g. in software engineering, has been applied to ontology engineering so far. However, application areas like Ambient Assisted Living (AAL), which require synchronisation and orchestration of interoperable services, are in dire need of safe and secure ontology interoperability. OntoIOp (Ontology Integration and Interoperability), a new international standard proposed in ISO/TC 37/SC 3, aims at filling this gap.