Marcela Vegetti

Semantic Web and Big Data meets Applied Ontology: The Ontology Summit 2014

Leo Obrst a,∗, Michael Gruninger b, Ken Baclawski c, Mike Bennett d, Dan Brickley e, Gary Berg-Cross f, Pascal Hitzler g, Krzysztof Janowicz h, Christine Kapp i, Oliver Kutz j, Christoph Lange k, Anatoly Levenchuk l, Francesca Quattri m, Alan Rector n, Todd Schneider o, Simon Spero p, Anne Thessen q, Marcela Vegetti r, Amanda Vizedom s, Andrea Westerinen t, Matthew West u and Peter Yim v a The MITRE Corporation, McLean, VA, USA b University of Toronto, Toronto, Canada c Northeastern University, Boston, MA, USA d Hypercube Ltd., London, UK e Google, London, UK f Knowledge Strategies, Washington, DC, USA g Wright State University, Dayton, OH, USA h University of California, Santa Barbara, Santa Barbara, CA, USA i JustIntegration, Inc., Kissimmee, FL, USA j Otto von Guericke University Magdeburg, Magdeburg, Germany k University of Bonn, Bonn, Germany; Fraunhofer IAIS, Sankt Augustin, Germany l TechInvestLab.ru, Moscow, Russia m The Hong Kong Polytechnic University, Hong Kong n University of Manchester, Manchester, UK o PDS, Inc., Arvada, CO, USA p University of North Carolina, Chapel Hill, NC, USA q Arizona State University, Phoenix, AZ, USA r INGAR (CONICET/UTN), Santa Fe, Argentina s Criticollab, LLC, Durham, NC, USA t Nine Points Solutions, LLC, Potomac, MD, USA u Information Junction, Fareham, UK v CIM Engineering, Inc., San Mateo, CA, USA

Towards ontology evaluation across the life cycle: The Ontology Summit 2013

The goal of the Ontology Summit 2013 was to create guidance for ontology developers and users on how to evaluate ontologies. Over a period of four months a variety of approaches were discussed by participants, who represented a broad spectrum of ontology, software, and system developers and users. We explored how established best practices in systems engineering and in software engineering can be utilized in ontology development.

An Ontological Approach to Integration of Planning and Scheduling Activities in Batch Process Industries

Abstract In the last decades, the integration of informatic applications supporting planning, scheduling and control has been a serious concern of the industrial community. Many standards have been developed to tackle this issue by addressing the exchange of data between the scheduling function and its immediate lower and upper levels in the planning pyramid. However, a more comprehensive approach is required to tackle integration problems, since this matter entails much more than data exchange. So, this article presents an ontological framework that provides the foundations to reach an effective interoperability among the various applications linked to scheduling activities.

A Semantic Web-Based Architecture to Support Product Data Management Systems

The distributed, dynamic and disparate nature of the information in supply chains is a major obstacle to gather the dispersed information required for the function of an enterprise. This obstacle affects the product data managementpsilas functionality and capability. However, the recent advance in semantic Web technologies gives the opportunity to overcome it. This contribution proposes a semantic Web-based architecture that supports the formulation of queries about the structure of products whose components are manufactured by different nodes of a supply chain that apply the concept of collaborative product development. The integration of different sources of information is achieved by means of a common vocabulary defined by an ontology, but locally keeping data management in each node of the supply chain.

Information logistics for supply chain management within process industry environments

Abstract This contribution proposes the design of an ontology that provides the foundations for the specification of information logistics processes in extended supply chains associated to process industries. The proposed ontology includes concepts and relationships that are necessary to formally describe, measure and evaluate a supply chain (SC), thus simplifying the visualization and analysis of networks. A SC ontology is a first step towards achieving a standard description of SC design and management processes.

A framework to represent, capture, and trace ontology development processes

Abstract This article presents OntoTracED, a comprehensive framework to represent, capture and trace ontology development processes. It has three components: (i) a conceptual model that defines the framework foundations, (ii) an ontological engineering domain model (OEDM), which specifies and describes design objects, as well as those operations that are particular to a specific ontology development methodology, and (iii) a computational support environment, named TracED(aaS). This contribution first offers an overview of the ontology development process characteristics and then describes the main features of each OntoTracED component. The framework capabilities are illustrated by means of a case study addressing the use of TracED(aaS) throughout the development of an ontology of industrial interest. It is shown that this proposal makes a strong contribution in the ontological engineering field since the whole ontology development process, its history, rationale, and all the intermediate products can be captured in an integrated fashion.

Semantic Interoperability among Industrial Product Data Standards using an Ontology Network.

Globalization impacts on the competitive capacity of industries forcing them to integrate their productive processes with other facilities geographically distributed. So, information systems supporting such processes should interoperate. Standards have been seen for many years as a way to reach interoperability. In particular, the committee 184 subcommittee 4 of the International Standard Organization (ISO) focus on the definition of industrial product data standards. However, they still suffer from semantic inconsistencies when the standards are put to work together. In this article, we propose an ontology network as a semantic bridge among standards for product representation, as a solution to reach interoperability among information system in manufacturing industries.

PRoduct ONTOlogy. Defining product-related concepts for production planning activities

Current Internet-based technologies enable the operation of Extended Supply Chains (ESCs) and introduce new requirements on enterprise systems. There is a real need to manage product-related information in such ESCs, where product models are the fundamental information source. This work describes an extension of the product information framework specified by PRONTO (PRoduct ONTOlogy), providing the foundations for a Distributed Product Data Management (DPDM) system supported by Semantic Web technology. The property and property vlaue concepts were introduced in the ontology with the purpose of formalizing the data aggregation and disaggregation processes required by productionplanning activities.

An Object-Oriented Framework for Bill of Materials in Process Industries

Abstract Products that were formerly quite standard turn now into custom-made ones, leading to an enormous increase in product variants. High degrees of redundancy can occur in data management when closely related product structures are treated as independent bills of materials. Since the bill of materials (BOM) is one of the most fundamental data in industrial enterprises a lot of work has been devoted to it in last years. In this contribution, a new object-oriented BOM has been proposed. It easily manages, crucial aspects that should be taken into account in a product representation, such as the efficient handling of product families and variants concepts, composition and decomposition structures and the possibility of describing restrictions. Moreover, the model easily accommodates the needs of various organizational units within a company.