Open Data Integration for Lanna Cultural Heritage e-Museums

2017 ◽  
pp. 29-41 ◽  
Author(s):  
Watchira Buranasing ◽  
Marut Buranarach ◽  
Chai Wutiwiwatchai
Keyword(s):  
Data Integration ◽  
Cultural Heritage ◽  
Open Data

scholarly journals Framework for a Symmetric Integration Approach

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 224
Author(s):  
Mihaela Muntean ◽  
Claudiu Brândaş ◽  
Tanita Cîrstea
Keyword(s):  
Data Integration ◽  
Open Data ◽  
Application Integration ◽  
Cloud Environment ◽  
Integration Framework ◽  
Symmetry Approach ◽  
Integration Approach ◽  
Implementation Aspects

An Application-to-Application integration framework in the cloud environment is proposed. The methodological demarche is developed using a data symmetry approach. Implementation aspects of integration considered the Open Data Protocol (OData) service as an integrator. An important issue in the cloud environment is to integrate and ensure the quality of transferred and processed data. An efficient way of ensuring the completeness and integrity of data transferred between different applications and systems is the symmetry of data integration. With these considerations, the integration of SAP Hybris Cloud for Customer with S/4 HANA Cloud was implemented.

scholarly journals Preventive Archaeology Based on Open Remote Sensing Data and Tools: The Cases of Sant’Arsenio (SA) and Foggia (FG), Italy

2019 ◽  
Vol 11 (15) ◽  
pp. 4145 ◽  
Author(s):  
Nicodemo Abate ◽  
Rosa Lasaponara
Keyword(s):  
Remote Sensing ◽  
Cultural Heritage ◽  
Urban Sprawl ◽  
Southern Italy ◽  
Open Data ◽  
Remote Sensing Data ◽  
Public Works ◽  
Oil Pipelines ◽  
Specific Reason ◽  
Sentinel 2

Sentinel-2 data have been used in various fields of human activity. In cultural heritage, their potential is still to be fully explored. This paper aims to illustrate how remote sensing and open source tools are useful for archaeological investigations. The whole issue revolves around the application of satellite (Sentinel-2) and accessory tools for the identification, knowledge and protection of the cultural heritage of two areas of southern Italy: Sant’Arsenio (SA) and Foggia (FG). Both study cases were selected for a specific reason: to demonstrate the usefulness of open data and software for research and preservation of cultural heritage, as in the case of urban sprawl, development of public works (gas- and oil-pipelines, etc.) or intensive use of land for agricultural purposes. The results obtained are relevant for the knowledge improvement and very useful to operate in the field of preventive archaeology, for the evaluation and management of risk, the planning of city-expansion or infrastructures that could damage the buried heritage.

scholarly journals Vernacular Farm Buildings and Rural Landscape: A Geospatial Approach for Their Integrated Management

2019 ◽  
Vol 12 (1) ◽  
pp. 4 ◽  
Author(s):  
Giuseppe Cillis ◽  
Dina Statuto ◽  
Pietro Picuno
Keyword(s):  
Cultural Heritage ◽  
Sustainable Management ◽  
Environmental Planning ◽  
Integrated Management ◽  
Open Data ◽  
Rural Landscape ◽  
Landscape Studies ◽  
Basilicata Region ◽  
Urban Settlements ◽  
Farm Buildings

Over the centuries, farm buildings, which accompany the development of agriculture, have played an important role in defining spatial and environmental planning. In some European countries in particular, these rural structures have been built based on traditional agricultural needs and typical land characteristics. Considering the land abandonment that has occurred over the last five decades, with farmers moving to more comfortable residences in neighboring urban settlements, historical farm buildings have often been abandoned, thus causing a leakage of the historical-cultural heritage of the rural landscape. Nowadays, open data and geographic technologies together with advanced technological tools allow us to gather multidisciplinary information about the specific characteristics of each farm building, thus improving our knowledge. This information can greatly support the protection of those buildings and landscapes that have high cultural and naturalistic value. In this paper, the potential of Geographic Information Systems to catalogue the farm buildings of the Basilicata region (Southern Italy) is explored. The analysis of these buildings, traditionally known as masserie, integrates some typical aspects of landscape studies, paving the way for sustainable management of the important cultural heritage represented by vernacular farm buildings and the rural landscape.

Data Integration for Open Data on the Web

2017 ◽  
pp. 1-28 ◽  
Author(s):  
Sebastian Neumaier ◽  
Axel Polleres ◽  
Simon Steyskal ◽  
Jürgen Umbrich
Keyword(s):  
Data Integration ◽  
Open Data ◽  
The Web

Using Information Visualization to Support Open Data Integration

2015 ◽  
pp. 1-15
Author(s):  
Paulo Carvalho ◽  
Patrik Hitzelberger ◽  
Benoît Otjacques ◽  
Fatma Bouali ◽  
Gilles Venturini
Keyword(s):  
Data Integration ◽  
Information Visualization ◽  
Open Data

Open Data Platform for Data Integration, Visualisation and Map Design

2014 ◽  
pp. 3-11
Author(s):  
Tomas Mildorf ◽  
Jan Jezek ◽  
Otakar Cerba ◽  
Christian Malewski ◽  
Simon Templer ◽  
...  
Keyword(s):  
Data Integration ◽  
Open Data ◽  
Data Platform ◽  
Map Design

scholarly journals A Framework Uniting Ontology-Based Geodata Integration and Geovisual Analytics

2020 ◽  
Vol 9 (8) ◽  
pp. 474
Author(s):  
Linfang Ding ◽  
Guohui Xiao ◽  
Diego Calvanese ◽  
Liqiu Meng
Keyword(s):  
Data Integration ◽  
Visual Analysis ◽  
Open Data ◽  
Data Access ◽  
Heterogeneous Data ◽  
Geospatial Data ◽  
Making Sense ◽  
Research Areas ◽  
Geovisual Analytics ◽  
Integration Techniques

In a variety of applications relying on geospatial data, getting insights into heterogeneous geodata sources is crucial for decision making, but often challenging. The reason is that it typically requires combining information coming from different sources via data integration techniques, and then making sense out of the combined data via sophisticated analysis methods. To address this challenge we rely on two well-established research areas: data integration and geovisual analytics, and propose to adopt an ontology-based approach to decouple the challenges of data access and analytics. Our framework consists of two modules centered around an ontology: (1) an ontology-based data integration (OBDI) module, in which mappings specify the relationship between the underlying data and a domain ontology; (2) a geovisual analytics (GeoVA) module, designed for the exploration of the integrated data, by explicitly making use of standard ontologies. In this framework, ontologies play a central role by providing a coherent view over the heterogeneous data, and by acting as a mediator for visual analysis tasks. We test our framework in a scenario for the investigation of the spatiotemporal patterns of meteorological and traffic data from several open data sources. Initial studies show that our approach is feasible for the exploration and understanding of heterogeneous geospatial data.

Sign in / Sign up

Export Citation Format

Share Document