scholarly journals BIM-GIS INTEGRATED GEOSPATIAL INFORMATION MODEL USING SEMANTIC WEB AND RDF GRAPHS

Author(s):  
A-H. Hor ◽  
A. Jadidi ◽  
G. Sohn

In recent years, 3D virtual indoor/outdoor urban modelling becomes a key spatial information framework for many civil and engineering applications such as evacuation planning, emergency and facility management. For accomplishing such sophisticate decision tasks, there is a large demands for building multi-scale and multi-sourced 3D urban models. Currently, Building Information Model (BIM) and Geographical Information Systems (GIS) are broadly used as the modelling sources. However, data sharing and exchanging information between two modelling domains is still a huge challenge; while the syntactic or semantic approaches do not fully provide exchanging of rich semantic and geometric information of BIM into GIS or vice-versa. This paper proposes a novel approach for integrating BIM and GIS using semantic web technologies and Resources Description Framework (RDF) graphs. The novelty of the proposed solution comes from the benefits of integrating BIM and GIS technologies into one unified model, so-called Integrated Geospatial Information Model (IGIM). The proposed approach consists of three main modules: BIM-RDF and GIS-RDF graphs construction, integrating of two RDF graphs, and query of information through IGIM-RDF graph using SPARQL. The IGIM generates queries from both the BIM and GIS RDF graphs resulting a semantically integrated model with entities representing both BIM classes and GIS feature objects with respect to the target-client application. The linkage between BIM-RDF and GIS-RDF is achieved through SPARQL endpoints and defined by a query using set of datasets and entity classes with complementary properties, relationships and geometries. To validate the proposed approach and its performance, a case study was also tested using IGIM system design.

Author(s):  
A-H. Hor ◽  
A. Jadidi ◽  
G. Sohn

In recent years, 3D virtual indoor/outdoor urban modelling becomes a key spatial information framework for many civil and engineering applications such as evacuation planning, emergency and facility management. For accomplishing such sophisticate decision tasks, there is a large demands for building multi-scale and multi-sourced 3D urban models. Currently, Building Information Model (BIM) and Geographical Information Systems (GIS) are broadly used as the modelling sources. However, data sharing and exchanging information between two modelling domains is still a huge challenge; while the syntactic or semantic approaches do not fully provide exchanging of rich semantic and geometric information of BIM into GIS or vice-versa. This paper proposes a novel approach for integrating BIM and GIS using semantic web technologies and Resources Description Framework (RDF) graphs. The novelty of the proposed solution comes from the benefits of integrating BIM and GIS technologies into one unified model, so-called Integrated Geospatial Information Model (IGIM). The proposed approach consists of three main modules: BIM-RDF and GIS-RDF graphs construction, integrating of two RDF graphs, and query of information through IGIM-RDF graph using SPARQL. The IGIM generates queries from both the BIM and GIS RDF graphs resulting a semantically integrated model with entities representing both BIM classes and GIS feature objects with respect to the target-client application. The linkage between BIM-RDF and GIS-RDF is achieved through SPARQL endpoints and defined by a query using set of datasets and entity classes with complementary properties, relationships and geometries. To validate the proposed approach and its performance, a case study was also tested using IGIM system design.


Author(s):  
Mihai Valentin Herbei ◽  
Roxana Herbei ◽  
Laura Smuleac ◽  
Tudor Salagean

The Geographical Information Systems technology is used in many fields where the spatial information is very important and relevant, that means in all fields that use a system for saving, analyzing and representing the data which are processed. The aim of this paper is using modern technology for monitoring the environment. Geographical Information System together with remote sensing have a very important role in decision process regarding the environment. Integration of remote sensing images in a Geographical Information System which enables complex spatial analysis is a useful and modern solution for environmental management and decision-making process. Satellite images contain various information that can support environmental monitoring, images that can be analyzed and interpreted in various ways by using the Geographical Information System tools.


Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4516
Author(s):  
Huynh Truong Gia Nguyen ◽  
Erik Lyttek ◽  
Pankaj Lal ◽  
Taylor Wieczerak ◽  
Pralhad Burli

Bioenergy has been globally recognized as one of the sustainable alternatives to fossil fuels. An assured supply of biomass feedstocks is a crucial bottleneck for the bioenergy industry emanating from uncertainties in land-use changes and future prices. Analytical approaches deriving from geographical information systems (GIS)-based analysis, mathematical modeling, optimization analyses, and empirical techniques have been widely used to evaluate the potential for bioenergy feedstock. In this study, we propose a three-phase methodology integrating fuzzy logic, network optimization, and ecosystem services assessment to estimate potential bioenergy supply. The fuzzy logic analysis uses multiple spatial criteria to identify suitable biomass cultivating regions. We extract spatial information based on favorable conditions and potential constraints, such as developed urban areas and croplands. Further, the network analysis uses the road network and existing biorefineries to evaluate feedstock production locations. Our analysis extends previous studies by incorporating biodiversity and ecologically sensitive areas into the analysis, as well as incorporating ecosystem service benefits as an additional driver for adoption, ensuring that biomass cultivation will minimize the negative consequences of large-scale land-use change. We apply the concept of assessing the potential for switchgrass-based bioenergy in Missouri to the proposed methodology.


Author(s):  
M. Valese ◽  
F. Noardo ◽  
A. Pereira Roders

Abstract. This research aims at the study of the (dynamic) relationship between the World Heritage sites and the related human settlements development. Geographical Information Systems (GIS) can be useful to represent the involved information and to analyze such relationship. However, an effective harmonized structure and unique storage of possibly heterogeneous datasets is necessary to enable it. This initial step is the focus of this paper. First, the description of the structure of the related datasets and the assessment of the availability, quality, and consistency of the available information about the Heritage sites and properties is presented. Among those requirements, the quality of the associated spatial information is critical (e.g. kind of shape, accuracy, georeferencing). Second, considering the structure of the available datasets concerning the world heritage, together with the HERILAND research requirements, a global world heritage GIS is designed. The classification and data model to manage the WH list falls within the wider issue of structuring the cultural heritage documentation, involving both the definition of the semantic content and the geometric representation. In order to comply with the important requirement of data interoperability in science and to strengthen the outcomes of the research, some standardized data models and classifications are considered.


2011 ◽  
Vol 63 (8) ◽  
pp. 1574-1581 ◽  
Author(s):  
Samanpreet Kaur ◽  
Rajan Aggarwal ◽  
Ashwani Soni

The state of Punjab (India) has witnessed a spectacular increase in agricultural production in the last few decades. This has been possible due to high use of fertilizers, good quality seeds and increased use of water resources. This increased demand of water resources has resulted in extensive use of groundwater in the central districts of the state and surface water (canals) in South-West Punjab, where groundwater is of poor quality in general. The state has been facing the twin problem of water table decline/rise in different parts. Efficient management relies on comprehensive database and regular monitoring of the resources. GIS is one of the important tools for integrating and analyzing spatial information from different sources or disciplines. It helps to integrate, analyze and represent spatial information and database of any resource, which could be easily used for planning of resource development, environmental protection and scientific researches and investigations. Geographical Information Systems (GIS) have been used for a variety of groundwater studies. Groundwater level change maps are useful in determining areas of greatest changes in storage in the regional systems. In this study, an attempt has been made to assess the long term groundwater behaviour of the state using GIS to visually and spatially analyze water level data obtained from the state and central agencies. The data was analysed for 0–3 m, 3–10 m, 10–20 m and beyond 20 m. The study revealed that per cent area with water table depth > 10 m was 20% in 1998 and has increased to 58% by 2006 which is critical limit for shifting from centrifugal pump to submersible pump.


Author(s):  
José Gomes dos Santos ◽  
Kevin Bento ◽  
Joaquim Lourenço Txifunga

Data creation is often the only way for researchers to produce basic geospatial information for the pursuit of more complex tasks and procedures such as those that lead to the production of new data for studies concerning river basins, slope morphodynamics, applied geomorphology and geology, urban and territorial planning, detailed studies, for example, in architecture and civil engineering, among others. This exercise results from a reflection where specific data processing tasks executed in Google Sketchup (Pro version, 2018) can be used in a context of interoperability with Geographical Information Systems (GIS) software. The focus is based on the production of contour lines and Digital Elevation Models (DEM) using an innovative sequence of tasks and procedures in both environments (GS and GIS). It starts in Google Sketchup (GS) graphic interface, with the selection of a satellite image referring to the study area—which can be anywhere on Earth's surface; subsequent processing steps lead to the production of elevation data at the selected scale and equidistance. This new data must be exported to GIS software in vector formats such as Autodesk Design Web format—DWG or Autodesk Drawing Exchange format—DXF. In this essay the option for the use of GIS Open Source Software (gvSIG and QGIS) was made. Correcting the original SHP by removing “data noise” that resulted from DXF file conversion permits the author to create new clean vector data in SHP format and, at a later stage, generate DEM data. This means that new elevation data becomes available, using simple but intuitive and interoperable procedures and techniques which confgures a costless work flow.


2019 ◽  
Vol 13 (1-2) ◽  
pp. 116-135
Author(s):  
Malcolm Little ◽  
Stephen Peplow

The tithe files contain a large amount of agricultural production data, but have not been much used for econometric analysis. The data is the result of averaging and estimating, thus some doubt has been cast on its accuracy. This article shows that for eight counties in the southwest of England, some data from the tithe files is reasonably reliable and was recorded in a consistent manner. The article demonstrates how tithe files and other data can be geocoded with spatial information so that an analysis using Geographical Information Systems (GIS) may be performed. Three tests are carried out, showing that pastoral rents followed a ‘distance decay’ model; that reported arable yields were consistent with exogenous variables; and that arable rents were set with economic variables in mind.


2018 ◽  
Vol 37 (3) ◽  
pp. 99-110 ◽  
Author(s):  
Yaqi Shen

In this paper, a library-space information model (LSIM) based on a geographical information system (GIS) was built to visually show the bookshelf location of each book through the display interface of various terminals. Taking Shanghai Jiao Tong University library as an example, both spatial information and attribute information were integrated into the model. In the spatial information, the reading room layout, bookshelves, reference desks, and so on were constructed with different attributes. The bookshelf layer was the key attribute of the bookshelves, and each book was linked to one bookshelf layer. Through the field of bookshelf layer, the book in the query system can be connected with the bookshelf-layer information of the LSIM. With the help of this model, readers can search books visually in the query system and find the books’ positions accurately. It can also be used in the inquiry of special-collection resources. Additionally, librarians can use this model to analyze books’ circulation status, and books with similar subjects that are frequently circulated can be recommended to readers. The library’s permanent assets (chairs, tables, etc.) could be managed visually in the model. This paper used GIS as a tool to solve the problem of accurate positioning, simultaneously providing better services for readers and realizing visual management of books for librarians.


Sign in / Sign up

Export Citation Format

Share Document