A study on ontology-driven geospatial-information retrieving in the Semantic Web

2008 ◽  
Author(s):  
Quan-Li Xu ◽  
Kun Yang ◽  
Jun Wang ◽  
Shuang-Yun Peng ◽  
Jun-Hua Yi
Keyword(s):  
Semantic Web ◽  
Geospatial Information ◽  
Information Retrieving

The Geospatial Semantic Web

2011 ◽  
pp. 588-609 ◽  
Author(s):  
Rafael Moreno-Sanchez
Keyword(s):  
Semantic Web ◽  
Research And Development ◽  
Computer Science ◽  
Geospatial Data ◽  
Future Research ◽  
Science Students ◽  
Geospatial Information ◽  
Information Professionals ◽  
The Web ◽  
The Way

The Semantic Web (SW) and Geospatial Semantic Web (GSW) are considered the next step in the evolution of the Web. For most non-Web specialists, geospatial information professionals, and non-computer-science students these concepts and their impacts on the way we use the Web are not clearly understood. The purpose of this chapter is to provide this broad audience of non-specialists with a basic understanding of: the needs and visions driving the evolution toward the SW and GSW; the principles and technologies involved in their implementation; the state of the art in the efforts to create the GSW; the impacts of the GSW on the way we use the Web to discover, evaluate, and integrate geospatial data and services; and the needs for future research and development to make the GSW a reality. A background on the SW is first presented to serve as a basis for more specific discussions on the GSW.

scholarly journals Towards Self-Service GIS—Combining the Best of the Semantic Web and Web GIS

2020 ◽  
Vol 9 (12) ◽  
pp. 753
Author(s):  
Alexandra Rowland ◽  
Erwin Folmer ◽  
Wouter Beek
Keyword(s):  
Semantic Web ◽  
Information Science ◽  
Geographic Information ◽  
Web Gis ◽  
Distributed Data ◽  
Geospatial Information ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Rapid Transition ◽  
Self Service

The field of geographic information science has grown exponentially over the last few decades and, particularly within the context of the pervasiveness of the internet, bears witness to a rapid transition of its associated technologies from stand-alone systems to increasingly networked and distributed systems as geospatial information becomes increasingly available online. With its long-standing history for innovation, the field has adopted many disruptive technologies from the fields of computer and information sciences through this transition towards web geographic information systems (GIS); most interestingly in the context of this research is the limited uptake of semantic web technologies by the field and its associated technologies, the lack of which has resulted in a technological disjoint between these fields. As the field seeks to make geospatial information more accessible to more users and in more contexts through ‘self-service’ applications, the use of these technologies is imperative to support the interoperability between distributed data sources. This paper aims to provide insight into what linked data tooling already exists, and based on the features of these, what may be possible for the achievement of self-service GIS. Findings include what visualisation, interactivity, analytics and usability features could be included in the realisation of self-service GIS, pointing to the opportunities that exist in bringing GIS technologies closer to the user.

scholarly journals MATCHING ALTERNATIVE ADDRESSES: A SEMANTIC WEB APPROACH

2015 ◽  
Vol XL-1-W5 ◽  
pp. 63-66
Author(s):  
S. Ariannamazi ◽  
F. Karimipour ◽  
F. Hakimpour
Keyword(s):  
Semantic Web ◽  
Information Integration ◽  
Spatial Data ◽  
Rapid Development ◽  
Crowd Sourcing ◽  
Knowledge Modeling ◽  
Data Types ◽  
Geospatial Information ◽  
Multiple Data ◽  
Web Standards

Rapid development of crowd-sourcing or volunteered geographic information (VGI) provides opportunities for authoritatives that deal with geospatial information. Heterogeneity of multiple data sources and inconsistency of data types is a key characteristics of VGI datasets. The expansion of cities resulted in the growing number of POIs in the OpenStreetMap, a well-known VGI source, which causes the datasets to outdate in short periods of time. These changes made to spatial and aspatial attributes of features such as names and addresses might cause confusion or ambiguity in the processes that require feature’s literal information like addressing and geocoding. VGI sources neither will conform specific vocabularies nor will remain in a specific schema for a long period of time. As a result, the integration of VGI sources is crucial and inevitable in order to avoid duplication and the waste of resources. Information integration can be used to match features and qualify different annotation alternatives for disambiguation. This study enhances the search capabilities of geospatial tools with applications able to understand user terminology to pursuit an efficient way for finding desired results. Semantic web is a capable tool for developing technologies that deal with lexical and numerical calculations and estimations. There are a vast amount of literal-spatial data representing the capability of linguistic information in knowledge modeling, but these resources need to be harmonized based on Semantic Web standards. The process of making addresses homogenous generates a helpful tool based on spatial data integration and lexical annotation matching and disambiguating.

scholarly journals IMPROVEMENTS IN AUTOMATED DERIVATION OF OWL ONTOLOGIES FROM GEOSPATIAL UML MODELS

2018 ◽  
Vol XLII-4 ◽  
pp. 283-290 ◽  
Author(s):  
K. Jetlund
Keyword(s):  
Semantic Web ◽  
Information Exchange ◽  
Information Needs ◽  
Geospatial Information ◽  
Transformation Rules ◽  
Open World ◽  
Wide Range ◽  
Basic Concepts ◽  
Universe Of Discourse ◽  
Uml Models

<p><strong>Abstract.</strong> Standards from ISO/TC 211 are the foundation for modelling a universe of discourse in a geospatial context. UML models based on the standards, and in particular based on the UML profile defined in ISO 19103, have been developed and implemented in applications and databases for a wide range of geospatial information, from international to national and agency level. Amounts of information has been collected, maintained and made available based on the models, but mainly through specific services and exchange formats for geospatial information. To make the models and the information available in The Semantic Web, the geospatial UML models need to be transformed from UML to OWL ontologies, and the information needs to be transformed from UML-based structures to RDF triples. This paper investigates methods for transforming UML models of geospatial information to OWL ontologies, identifies challenges, suggest improvements and identifies needs for further research. Several methods for automated transformation from geospatial UML models to OWL handle basic concepts, but some concepts and context-closed restrictions from UML cannot be directly transformed to the open world of The Semantic Web. None of the analysed methods handles all of these issues, and suggested improvements include combining and improving transformation rules, as well as modifications in the UML models. To what degree and how these issues need to be handled will depend on whether the scope of the ontologies is to simply present geospatial information on The Semantic Web, or if they shall be used in a bidirectional information exchange.</p>

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

2016 ◽  
Vol III-4 ◽  
pp. 73-79 ◽  
Author(s):  
A-H. Hor ◽  
A. Jadidi ◽  
G. Sohn
Keyword(s):  
Semantic Web ◽  
Geographical Information Systems ◽  
Spatial Information ◽  
Information Model ◽  
Facility Management ◽  
Geographical Information ◽  
Geospatial Information ◽  
Semantic Web Technologies ◽  
Novel Approach ◽  
Rdf Graphs

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.

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

2016 ◽  
Vol III-4 ◽  
pp. 73-79 ◽  
Author(s):  
A-H. Hor ◽  
A. Jadidi ◽  
G. Sohn
Keyword(s):  
Semantic Web ◽  
Geographical Information Systems ◽  
Spatial Information ◽  
Information Model ◽  
Facility Management ◽  
Geographical Information ◽  
Geospatial Information ◽  
Semantic Web Technologies ◽  
Novel Approach ◽  
Rdf Graphs

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.

Semantic Web Technologies for e-Learning: Models and Implementation

Informatica ◽  
2015 ◽  
Vol 26 (2) ◽  
pp. 221-240 ◽  
Author(s):  
Valentina Dagienė ◽  
Daina Gudonienė ◽  
Renata Burbaitė
Keyword(s):  
Semantic Web ◽  
Learning Models ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
E Learning
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