Methods and tools for equivalent data model mapping construction

2005 ◽  
pp. 92-119 ◽  
Author(s):  
Leonid A. Kalinichenko
Keyword(s):  
Data Model ◽  
Model Mapping

scholarly journals An Automatic Embedded Device Registration Procedure Based on the OGC SensorThings API

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 495
Author(s):  
Chih-Yuan Huang ◽  
Hsin-Hsien Chen
Keyword(s):  
Data Model ◽  
Automatic Registration ◽  
Device Layer ◽  
Application Layer ◽  
Embedded Devices ◽  
Registration Procedure ◽  
Description File ◽  
Model Mapping ◽  
Main Components ◽  
Service Standards

Sensor Web and Internet of Things (IoT) (SW-IoT) have been attracting attention from various fields. Both of them deploy networks of embedded devices to monitor physical properties (i.e., sensing capability) or to be controlled (i.e., tasking capability). One of the most important tasks to realize the SW-IoT vision is to establish an open and interoperable architecture, across the device layer, gateway layer, service layer, and application layer. To achieve this objective, many organizations and alliances propose standards for different layers. Among the standards, Open Geospatial Consortium (OGC) SensorThings API is arguably one of the most complete and flexible service standards. However, the SensorThings API only address heterogeneity issues in the service layer. Embedded devices following proprietary protocols need to join closed ecosystems and then link to the SensorThings API ecosystem via customized connectors. To address this issue, one could first follow another device layer and gateway layer open standards and then perform data model mapping with the SensorThings API. However, the data model mapping is not always straightforward as the standards were designed independently. Therefore, this research tries to propose a more direct solution to unify the entire SW-IoT architecture by extending the SensorThings API ecosystem to the gateway layer and the device layer. To be specific, this research proposes SW-IoT Plug and Play (IoT-PNP) to achieve an automatic registration procedure for embedded devices. The IoT-PNP contains three main components: (1) A description file describing device metadata and capabilities, (2) a communication protocol between the gateway layer and the device layer for establishing connections, and (3) an automatic registration procedure for both sensing and tasking capabilities. Overall, we believe the proposed solution could help achieve an open and interoperable SW-IoT end-to-end architecture based on the OGC SensorThings API.

Data Model Mapping

2009 ◽  
pp. 599-599
Keyword(s):  
Data Model ◽  
Model Mapping

Wiccap Data Model: Mapping Physical Websites to Logical Views

2002 ◽  
pp. 120-135 ◽  
Author(s):  
Zehua Liu ◽  
Feifei Li ◽  
Wee Keong Ng
Keyword(s):  
Data Model ◽  
Model Mapping

Data Model Mapping

2011 ◽  
Keyword(s):  
Data Model ◽  
Model Mapping

scholarly journals Unidata’s Common Data Model mapping to the ISO 19123 Data Model

2008 ◽  
Vol 1 (2) ◽  
pp. 59-78 ◽  
Author(s):  
Stefano Nativi ◽  
John Caron ◽  
Ben Domenico ◽  
Lorenzo Bigagli
Keyword(s):  
Data Model ◽  
Common Data Model ◽  
Model Mapping

scholarly journals Implementation of multiple interpretation data model concepts in CIDOC CRM and compatible models

2018 ◽  
Vol 9 (19) ◽  
pp. 50 ◽  
Author(s):  
Muriel Van Ruymbeke ◽  
Pierre Hallot ◽  
Gilles-Antoine Nys ◽  
Roland Billen
Keyword(s):  
Cultural Heritage ◽  
Data Model ◽  
Reference Model ◽  
International Committee ◽  
Model Mapping ◽  
Proposal A ◽  
Historical Objects ◽  
Multiple Interpretation ◽  
Cidoc Crm ◽  
Structuring Knowledge

<p>Modelling cultural heritage is a research topic shared by a broad scientific community.  Although  this subject has been widely studied, it  seems that  some  aspects  still  have  to  be  tackled.  This paper describes two CIDOC (ICOM’s International Committee for Documentation) Conceptual Reference Model (CRM) extension proposals (A &amp; B) dedicated to structuring knowledge concerning historical objects and historical events.  It  focuses  on  multiple  interpretations and sequential reality, this last being a concept which does not exist in CIDOC CRM but was originally developed in another conceptual model, the Multiple Interpretation Data Model (MIDM). To begin, an extensive description of MIDM concepts is given as well as a recall of its main peculiarities. It is followed by a mapping proposed to translate MIDM concepts into ontologies  devoted to describing cultural  heritage  entities  and  activities,  the CIDOC CRM  and  compatible  models. Unfortunately,  some MIDM  concepts  are  not  covered  by this  mapping  because  they  do  not  match  with existing  CRM entities and properties, and this paper explains why an extension is necessary. It describes how the two versions of the extension proposal cover the missing MIDM concepts. One of these two versions, the proposal A, has been implemented as ontology in Protégé and has been tested through an instantiation phase using a real example. This instantiation phase is fully detailed. It shows that proposal A works coherently with CRM ontologies. On another hand, instantiation phase highlights improvements needs such as recording chronology in a structured way.</p><p><strong>Highlights:</strong></p><ul><li><p>Cultural Heritage modelling involves two different ontological concepts: reality and information held about it.</p></li><li><p>Historical Objects existence is a sequence made by events, stability periods and changes affecting it.</p></li><li><p>Multiple Interpretation Data Model mapping to CIDOC CRM and its extension proposal take into account difference between reality and information. They also manage sequence concept.</p></li></ul>

Decision Making in Team Sports: Data, model and applied perspective

2008 ◽  
Author(s):  
Pedro J. M. Passos ◽  
Duarte Araujo ◽  
Keith Davids ◽  
Ana Diniz ◽  
Luis Gouveia ◽  
...  
Keyword(s):  
Decision Making ◽  
Data Model ◽  
Team Sports ◽  
Sports Data

A Qualified Assertion Database for the History of Places

2019 ◽  
Vol 13 (1-2) ◽  
pp. 95-115
Author(s):  
Brandon Plewe
Keyword(s):  
Data Model ◽  
Temporal Change ◽  
Religious Congregations ◽  
Historical Gis ◽  
The Past ◽  
Model Based ◽  
Complex Information ◽  
Invaluable Tool ◽  
History Of ◽  
The Rich

Historical place databases can be an invaluable tool for capturing the rich meaning of past places. However, this richness presents obstacles to success: the daunting need to simultaneously represent complex information such as temporal change, uncertainty, relationships, and thorough sourcing has been an obstacle to historical GIS in the past. The Qualified Assertion Model developed in this paper can represent a variety of historical complexities using a single, simple, flexible data model based on a) documenting assertions of the past world rather than claiming to know the exact truth, and b) qualifying the scope, provenance, quality, and syntactics of those assertions. This model was successfully implemented in a production-strength historical gazetteer of religious congregations, demonstrating its effectiveness and some challenges.

3D Subsurface Soil Deformation Data Model

2020 ◽  
Author(s):  
Siti Nurbaidzuri Reli
Keyword(s):  
Data Model ◽  
Soil Deformation ◽  
Subsurface Soil
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