scholarly journals The euBusinessGraph ontology: A lightweight ontology for harmonizing basic company information

Semantic Web ◽  
2021 ◽  
pp. 1-28
Author(s):  
Dumitru Roman ◽  
Vladimir Alexiev ◽  
Javier Paniagua ◽  
Brian Elvesæter ◽  
Bjørn Marius von Zernichow ◽  
...  
Keyword(s):  
Development Process ◽  
Personal Data ◽  
Ontology Development ◽  
Value Chains ◽  
Knowledge Graph ◽  
Balance Sheets ◽  
Business Information ◽  
Data Value ◽  
Core Concepts ◽  
National Business

Company data, ranging from basic company information such as company name(s) and incorporation date to complex balance sheets and personal data about directors and shareholders, are the foundation that many data value chains depend upon in various sectors (e.g., business information, marketing and sales, etc.). Company data becomes a valuable asset when data is collected and integrated from a variety of sources, both authoritative (e.g., national business registers) and non-authoritative (e.g., company websites). Company data integration is however a difficult task primarily due to the heterogeneity and complexity of company data, and the lack of generally agreed upon semantic descriptions of the concepts in this domain. In this article, we introduce the euBusinessGraph ontology as a lightweight mechanism for harmonising company data for the purpose of aggregating, linking, provisioning and analysing basic company data. The article provides an overview of the related work, ontology scope, ontology development process, explanations of core concepts and relationships, and the implementation of the ontology. Furthermore, we present scenarios where the ontology was used, among others, for publishing company data (business knowledge graph) and for comparing data from various company data providers. The euBusinessGraph ontology serves as an asset not only for enabling various tasks related to company data but also on which various extensions can be built upon.

Markets are constantly collapsing: Reconceptualizing ‘the market’ as a quantum social wavefunction

2021 ◽  
pp. 102452942098782
Author(s):  
Michael Murphy
Keyword(s):  
Quantum Mechanics ◽  
International Relations ◽  
Social Theory ◽  
Open Economy ◽  
International Relations Theory ◽  
Social Structures ◽  
Value Chains ◽  
Special Issue ◽  
Core Concepts ◽  
Broad Framework

The quantum moment in International Relations theory challenges the taken for granted Newtonian assumptions of conventional theories, while offering a novel physical imaginary grounded in quantum mechanics. As part of the special issue on reconceptualizing markets, this article questions if prior efforts to conceptualize ‘the market’ have been unsuccessful at capturing the paradoxical microfoundational/macrostructural because of the Newtonian worldview within which much social science operates. By developing a new, quantum perspective on the market, taking the physical paradigm of the wavefunction, I seek to explore the connections between entanglement, nonlocality, interference and invisible social structures. To demonstrate the applicability of quantum thinking, I explore how global value chains and open economy politics might be ‘quantized’, through the mobilization of core concepts of quantum social theory, within the broad framework of the market as a quantum social wavefunction.

Study of Development IETM Based on S1000D Specification

2012 ◽  
Vol 190-191 ◽  
pp. 249-252
Author(s):  
Zheng Jing Wan
Keyword(s):  
Resource Sharing ◽  
Development Process ◽  
Common Source ◽  
Practical Application ◽  
The Core ◽  
Source Database ◽  
Technical Manual ◽  
Core Concepts

The Interactive Electronic Technical Manual (IETM) can solve some practical application problems of the traditional paper technical manuals on storing difficulty and resource sharing inefficiency well. The S1000D specification is an international specification of development IETM. In the paper the S1000D specification is introduced briefly. Then the meanings of Data Module (DM) and Common Source Database (CSDB) which are the core concepts of the S1000D specification are analyzed. At last, the development process of IETM based on S1000D specification is given.

Towards an Operational REA Business Ontology

2009 ◽  
pp. 222-243
Author(s):  
Frederik Gailly
Keyword(s):  
Supply Chain ◽  
Information Systems ◽  
System Development ◽  
Semantic Integration ◽  
Ontology Development ◽  
Supply Chain Collaboration ◽  
Formal Representation ◽  
Heterogeneous Information ◽  
Business Information Systems ◽  
Business Information

It is widely recognized that ontologies can be used to support the semantic integration and interoperability of heterogeneous information systems. Resource Event Agent (REA) is a well-known business ontology that was proposed for ontology-driven enterprise system development. However, the current specification is neither sufficiently explicit nor formal, and thus difficult to operationalize for use in ontology- driven business information systems. In this chapter REA is redesigned and formalized following a methodology based on the reengineering extension of the METHONTOLOGY framework for ontology development. The redesign is focused on developing a UML representation of REA that improves upon existing representations and that can easily be transformed into a formal representation. The formal representation of REA is developed in OWL. The chapter discusses the choices made in redesigning REA and in transforming REA’s UML representation into an OWL representation. It is also illustrated how this new formal representation of the REA-ontology can be used to support ontology-driven supply chain collaboration.

scholarly journals Automating Privacy Compliance Using Policy Integrated Blockchain

Cryptography ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 7 ◽  
Author(s):  
Karuna Pande Joshi ◽  
Agniva Banerjee
Keyword(s):  
Data Sharing ◽  
Data Privacy ◽  
Personal Data ◽  
Data Access ◽  
Information Management System ◽  
Knowledge Graph ◽  
Efficient System ◽  
Essential Requirement ◽  
Blockchain Technology ◽  
Rich Data

An essential requirement of any information management system is to protect data and resources against breach or improper modifications, while at the same time ensuring data access to legitimate users. Systems handling personal data are mandated to track its flow to comply with data protection regulations. We have built a novel framework that integrates semantically rich data privacy knowledge graph with Hyperledger Fabric blockchain technology, to develop an automated access-control and audit mechanism that enforces users' data privacy policies while sharing their data with third parties. Our blockchain based data-sharing solution addresses two of the most critical challenges: transaction verification and permissioned data obfuscation. Our solution ensures accountability for data sharing in the cloud by incorporating a secure and efficient system for End-to-End provenance. In this paper, we describe this framework along with the comprehensive semantically rich knowledge graph that we have developed to capture rules embedded in data privacy policy documents. Our framework can be used by organizations to automate compliance of their Cloud datasets.

scholarly journals A Pattern-Based Method for Re-Engineering Non-Ontological Resources into Ontologies

2010 ◽  
Vol 6 (4) ◽  
pp. 27-63 ◽  
Author(s):  
Boris Carmen Villazón-Terrazas ◽  
Mari Suárez-Figueroa ◽  
Asunción Gómez-Pérez
Keyword(s):  
Data Model ◽  
Development Process ◽  
Storage System ◽  
Ontology Development ◽  
Software Library ◽  
Process Ontology ◽  
Classification Schemes ◽  
Speed Up ◽  
And Storage

To speed up the ontology development process, ontology developers are reusing all available ontological and non-ontological resources, such as classification schemes, thesauri, lexicons, and so forth, that have already reached some consensus. Non-ontological resources are highly heterogeneous in their data model and storage system (or implementation). The reuse of these non-ontological resources involves their re-engineering into ontologies. This paper presents a method for re-engineering non-ontological resources into ontologies. The method is based on so-called re-engineering patterns, which define a procedure that transforms the non-ontological resource components into ontology representational primitives using WordNet for making explicit the relations among the non-ontological resource terms. The paper also provides the description of NOR2O, a software library that implements the transformations suggested by the patterns. Finally, it depicts an evaluation of the method, patterns, and software library proposed.

scholarly journals Tales from the Dark Side: Privacy Dark Strategies and Privacy Dark Patterns

2016 ◽  
Vol 2016 (4) ◽  
pp. 237-254 ◽  
Author(s):  
Christoph Bösch ◽  
Benjamin Erb ◽  
Frank Kargl ◽  
Henning Kopp ◽  
Stefan Pfattheicher
Keyword(s):  
Development Process ◽  
Personal Data ◽  
Dark Side ◽  
The Internet ◽  
Design Engineering ◽  
Psychological Perspective ◽  
Privacy By Design ◽  
It Systems ◽  
Equal Importance ◽  
Successive Removal

Abstract Privacy strategies and privacy patterns are fundamental concepts of the privacy-by-design engineering approach. While they support a privacy-aware development process for IT systems, the concepts used by malicious, privacy-threatening parties are generally less understood and known. We argue that understanding the “dark side”, namely how personal data is abused, is of equal importance. In this paper, we introduce the concept of privacy dark strategies and privacy dark patterns and present a framework that collects, documents, and analyzes such malicious concepts. In addition, we investigate from a psychological perspective why privacy dark strategies are effective. The resulting framework allows for a better understanding of these dark concepts, fosters awareness, and supports the development of countermeasures. We aim to contribute to an easier detection and successive removal of such approaches from the Internet to the benefit of its users.

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