scholarly journals Integrated product ontologies for inter-organizational networks

2009 ◽  
Vol 6 (2) ◽  
pp. 29-46 ◽  
Author(s):  
Milan Zdravkovic ◽  
Miroslav Trajanovic
Keyword(s):  
Information Acquisition ◽  
Data Exchange ◽  
Product Information ◽  
Added Value ◽  
Organizational Networks ◽  
Dimensional Model ◽  
Design Intent ◽  
Functional Perspective ◽  
Property Transfer ◽  
Semantic Alignment

Purpose of this paper is to propose approach and technical infrastructure for improvement of inter-organizational networks' response in product information acquisition and management. Different approaches (industrial categorization schemes, functional decomposition and semantic web) for management of product information are analyzed in context of inter-organizational networks. Process for semantic alignment of product information is defined, resulting with generalized, two-dimensional model, consisting of design and functional perspective. The process is expected to decrease human intervention in product data exchange in networked environments, as well as to create added value, through possible recognition of design intent, automated referencing to related manufacturing competences and reuse potential. Current prototype of system comprises of product ontologies and interfaces for topological model submission and refinement by using lexical term and predicate matching and property transfer. Impact of using formalized functional perspective is only theoretically justified and it still needs to be verified.

scholarly journals The European Bioinformatics Institute in 2020: building a global infrastructure of interconnected data resources for the life sciences

2019 ◽  
Vol 48 (D1) ◽  
pp. D17-D23 ◽  
Author(s):  
Charles E Cook ◽  
Oana Stroe ◽  
Guy Cochrane ◽  
Ewan Birney ◽  
Rolf Apweiler
Keyword(s):  
Data Exchange ◽  
Life Sciences ◽  
Image Data ◽  
European Bioinformatics Institute ◽  
Added Value ◽  
Value Analysis ◽  
Starting Point ◽  
Core Mission ◽  
Training Team ◽  
Exchange Data

Abstract Data resources at the European Bioinformatics Institute (EMBL-EBI, https://www.ebi.ac.uk/) archive, organize and provide added-value analysis of research data produced around the world. This year's update for EMBL-EBI focuses on data exchanges among resources, both within the institute and with a wider global infrastructure. Within EMBL-EBI, data resources exchange data through a rich network of data flows mediated by automated systems. This network ensures that users are served with as much information as possible from any search and any starting point within EMBL-EBI’s websites. EMBL-EBI data resources also exchange data with hundreds of other data resources worldwide and collectively are a key component of a global infrastructure of interconnected life sciences data resources. We also describe the BioImage Archive, a deposition database for raw images derived from primary research that will supply data for future knowledgebases that will add value through curation of primary image data. We also report a new release of the PRIDE database with an improved technical infrastructure, a new API, a new webpage, and improved data exchange with UniProt and Expression Atlas. Training is a core mission of EMBL-EBI and in 2018 our training team served more users, both in-person and through web-based programmes, than ever before.

scholarly journals Data Governance and Sovereignty in Urban Data Spaces Based on Standardized ICT Reference Architectures

Data ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 16 ◽  
Author(s):  
Silke Cuno ◽  
Lina Bruns ◽  
Nikolay Tcholtchev ◽  
Philipp Lämmel ◽  
Ina Schieferdecker
Keyword(s):  
Data Exchange ◽  
Smart Cities ◽  
Legal Aspects ◽  
Urban Environments ◽  
Added Value ◽  
Data Types ◽  
Data Governance ◽  
European Cities ◽  
Data Space ◽  
Urban Data

European cities and communities (and beyond) require a structured overview and a set of tools as to achieve a sustainable transformation towards smarter cities/municipalities, thereby leveraging on the enormous potential of the emerging data driven economy. This paper presents the results of a recent study that was conducted with a number of German municipalities/cities. Based on the obtained and briefly presented recommendations emerging from the study, the authors propose the concept of an Urban Data Space (UDS), which facilitates an eco-system for data exchange and added value creation thereby utilizing the various types of data within a smart city/municipality. Looking at an Urban Data Space from within a German context and considering the current situation and developments in German municipalities, this paper proposes a reasonable classification of urban data that allows the relation of various data types to legal aspects, and to conduct solid considerations regarding technical implementation designs and decisions. Furthermore, the Urban Data Space is described/analyzed in detail, and relevant stakeholders are identified, as well as corresponding technical artifacts are introduced. The authors propose to setup Urban Data Spaces based on emerging standards from the area of ICT reference architectures for Smart Cities, such as DIN SPEC 91357 “Open Urban Platform” and EIP SCC. In the course of this, the paper walks the reader through the construction of a UDS based on the above-mentioned architectures and outlines all the goals, recommendations and potentials, which an Urban Data Space can reveal to a municipality/city. Finally, we aim at deriving the proposed concepts in a way that they have the potential to be part of the required set of tools towards the sustainable transformation of German and European cities in the direction of smarter urban environments, based on utilizing the hidden potential of digitalization and efficient interoperable data exchange.

Manufacturability of Sheet Metal Design with the Help of Product Data Management (PDM)

2013 ◽  
Vol 572 ◽  
pp. 331-334 ◽  
Author(s):  
Merja Huhtala ◽  
Mika Lohtander ◽  
Juha Varis
Keyword(s):  
Data Management ◽  
Sheet Metal ◽  
Product Information ◽  
Life Time ◽  
Product Data Management ◽  
Design Intent ◽  
Product Data ◽  
Product Service ◽  
Metal Design ◽  
Product Realization

In the today’s industry the sheet metal design plays a huge role, it has been said that almost the half of the designing is concentrating to sheet metals. But the lack of knowledge of the typical sheet metal aspects and basic rules of sheet metal designing, has led in to situation where more and more products are poor designed. This automatically leads to situation that the products are not manufacturing friendly. Designing time is shortening year after year, so the pressure to design the part as fast as possible is huge. Unfortunately all the design information and the design intent is processed and filtered to be fit for the Product Data Management (PDM) system. As the PDM was firstly designed to be used only for the storage base for the design drawings and other data; the feature-information and design intent is lost. This paper deals with two distinct yet interlinked themes. The first theme is the new requirements set for the new Product (Life-time) Information systems that can save the product information and design intent. And the second theme is the modern, light-weight and updatable product-services that allow the manufacturability to be ensured before product realization. With the help of novel product-service such as Design Manufacturing and Assembly (DFMA) for sheet metal industry designers will able to design in shorter time manufacture friendly sheet metal products.

Application Research of Pharmaceutical Industry Management System Based on ERP and CRM Integration

2011 ◽  
Vol 101-102 ◽  
pp. 55-59
Author(s):  
Xiao Yan Wan ◽  
Guo Qing Xu
Keyword(s):  
Pharmaceutical Industry ◽  
Management System ◽  
Data Exchange ◽  
Product Information ◽  
Storage Space ◽  
Application Research ◽  
Management Ability ◽  
Function Modules ◽  
Middleware Technology ◽  
Information Module

Design of a pharmaceutical industry management system based on ERP and CRM integration, including design background, function and implement, are presented in this paper. The designed system applies middleware technology in data exchange between ERP and CRM, and all the data is transferred in XML format. The mainly integrated function modules are customer management module, product information module and sales module. Snowflake mode is used in data warehouse to eliminate data redundancy and to save storage space. The system can improve management ability and competition superiority of the pharmaceutical industry through ERP and CRM integration.

HEIMDALL: a H2020 project aimed at developing a multi-hazard Cooperative Management, Data Exchange, Response Planning and Scenario Building tool: the landslides case.

2021 ◽  
Author(s):  
Guido Luzi ◽  
José Antonio Navarro ◽  
Anna Barra ◽  
Oriol Monserrat ◽  
Michele Crosetto
Keyword(s):  
Data Exchange ◽  
Regional Scale ◽  
Information Access ◽  
Processing Technique ◽  
Added Value ◽  
Cooperative Management ◽  
Scenario Building ◽  
Active Deformation ◽  
Response Planning

<p>This contribution describes the objectives and the tasks carried out within HEIMDALL, a four-years European project (H2020), whose general aim was to assist the management of emergencies related to fires, flooding and land movements. In particular the authors focus on the tools developed in the case of the landslide’s scenario, using spaceborne and Ground Based radar interferometry. The core of the architecture of HEIMDALL is a system platform which collects data obtained through simulation, Earth Observation images and in-situ sensors measurements to provide updated information and support the activities of several actors involved in disaster management (preparedness, response, and recovery). A multi-hazard Cooperative Management, for Data Exchange, Response Planning and Scenario Building is the rationale of the final product. Concerning the landslides case, two products are integrated as external data sources. The first one is a map of the Active Deformation Areas (ADA) detected through the DInSAR processing technique, using a set of SAR images acquired every 6 days by the satellite Sentinel-1, this product allows the identification and characterization of potential landslides at a regional scale. The second one operates at a local scale; it includes deformation maps covering single slopes obtained through a Ground Based SAR system installed in-situ. This last tool is proposed to provide both continuous and discontinuous (periodical) monitoring for the assessment and updating of the scenario of risk (together with model based on meteorological parameters and simulations) and supporting the recovery phase. HEIMDALL guarantees an information access and sharing among the involved stakeholders, including the population and the first responders on the field. The possibility to integrate data coming from different techniques improves the real time understanding of the situation and, by using advanced multi-hazard methods, allows to develop realistic multi-disciplinary scenarios of risk, vulnerability assessment, information sharing and emergency response. The main added value of using the HEIMDALL service platform results in a valuable, direct, situation assessment which can strength the decision tools.</p>

A Client/Server Implementation of the Design Process Using PDES/STEP “Level 3” Data Sharing Architecture

1993 ◽  
Author(s):  
Esther A. Edwards-lwe
Keyword(s):  
Data Sharing ◽  
Design Process ◽  
Concurrent Engineering ◽  
Data Exchange ◽  
Product Information ◽  
Global Market ◽  
Lessons Learned ◽  
Product Model ◽  
Product Data ◽  
Level 3

Abstract The ability to exchange and share product data between and within enterprises is essential for implementing the concepts of concurrent engineering as well as operating in a global market economy. STEP, the STandard for the Exchange of Product Model Data, is an international effort to standardize product information. Product information is used by manufacturing enterprise to design, produce, and maintain a product. The purpose of STEP is to prescribe a neutral mechanism capable of completely representing product data throughout the life cycle of a product. Data sharing can only be discussed in the context of a specific application. The scope of STEP data sharing architecture has progressed from a single shared facility to sharing multiple distributed facilities. This paper discusses the lessons learned from a prototype implementation of the mechanical part design process(es) captured in a network of heterogeneous computers and database management systems to allow for data exchange and sharing between and within an enterprise.

Research on Synchronization Technology of Geological Data Acquisition System Based on NFC and Mobile Internet

2018 ◽  
Vol 27 (14) ◽  
pp. 1850225 ◽  
Author(s):  
Shijie Peng ◽  
Zhiting Zhang ◽  
Chonglong Wu ◽  
Gang Liu
Keyword(s):  
Data Acquisition ◽  
System Integration ◽  
Information Acquisition ◽  
Data Exchange ◽  
Data Gathering ◽  
Field Investigation ◽  
Mobile Internet ◽  
Acquisition System ◽  
Technology System ◽  
Rich Data

This system effectively realizes the end-to-end data exchange and the data gathering from each terminal to the Geological Gathering Cloud (GGC). It is accomplished through QuantyML a private synchronization protocol reference SyncML and based on Json. It also provides high precision, high reliable positioning, navigation services to achieve meter level positioning through beidou navigation system and the visual data acquisition UI in the light of the mobile GIS map service technology. System integration and automation of scattered geological entities through the field investigation of the management, to facilitate the detailed description and accurate record of the collection content, provide rich data support for subsequent geological research. This paper introduces the design and realization of Mineral Information Acquisition System (MIAS), emphatically introduces the design principle QuantyML protocol based on Json and its implementation details.

Sign in / Sign up

Export Citation Format

Share Document