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Construction and Application of a Knowledge Graph

Xuejie Hao, Zheng Ji, Xiuhong Li, Lizeyan Yin, Lu Liu, Meiying Sun, Qiang Liu, Rongjin Yang
2021 Remote Sensing  
Based on the heterogeneous, decentralized, and dynamic updates of large surveying and remote-sensing data, this paper constructs a knowledge graph for surveying and remote-sensing applications.  ...  Therefore, this paper proposes a method of using ontology for heterogeneous data integration.  ...  Acknowledgments: We thank AJE ( (accessed on 25 June 2021)), for editing the English text of this manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13132511 fatcat:yqmwk6rxpbcnjl5t6uubyran5e

Towards Ontology Reasoning for Topological Cluster Labeling [chapter]

Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Younès Bennani, Laure Berti-Equille
2016 Lecture Notes in Computer Science  
In this paper, we present a new approach combining topological unsupervised learning with ontology based reasoning to achieve both : (i) automatic interpretation of clustering, and (ii) scaling ontology  ...  The proposed approach is based on two steps. The first step performs a topographic unsupervised learning based on the SOM (Self-Organizing Maps) algorithm.  ...  Hybrid approach : SOM Ontology based Labeling In this paper, we present a new hybrid approach using the available expert knowledge to semantically label the generated SOM map.  ... 
doi:10.1007/978-3-319-46675-0_18 fatcat:inljkxqhxjgsfblylxtn2wv2ri

A DNA-Based Semantic Fusion Model for Remote Sensing Data

Heng Sun, Jian Weng, Guangchuang Yu, Richard H. Massawe, Guy J-P. Schumann
2013 PLoS ONE  
In this paper, we firstly describe our work on the development of a remote sensing data ontology, with a primary focus on semantic fusion-driven research for big data.  ...  In this model, a parallel strategy is developed to encode the semantic information in DNA for a large volume of remote sensing data.  ...  File S1 Code for remote sensing data ontology (see also  ... 
doi:10.1371/journal.pone.0077090 pmid:24116207 pmcid:PMC3792926 fatcat:giboz67qfrgmxgpfrqjrgi7s5m

Cognitive and Identitarian Aspects in Jean Rhys' Fiction

Cristina-Georgiana Voicu
2014 Symposion: Theoretical and Applied Inquiries in Philosophy and Social Sciences  
This article proposes a reconsideration of their rediscovery filtered through Jean Rhys' post-colonial sensitivity.  ...  From Gnỗthi seautόn ('Know Thyself') to cognitive theories of the self there has been a long time, but the paradigm has almost remained the same.  ...  Moreover, the complexity of its ontological and epistemological representation involves an interdisciplinary approach that blends a literary interpretive approach to social, anthropological, cultural and  ... 
doi:10.5840/symposion20141212 fatcat:uufkpgfqjbdl3hl6w5j6dskd3a

Datascape: A Synthesis of Digital and Embodied Worlds

Eric Kabisch
2008 Space and Culture  
The author elaborates an approach to hybrid space that instead focuses on local contexts of digital information correlated with the embodied spaces people inhabit-an informational substrate that both describes  ...  Datascape enables a hybrid ecology whereby participants author dynamic geographic narratives that compose a digital world coextensive with the planet Earth.  ...  I distinguished this approach from those that see hybrid space as arising from the embedding of remote contexts via mobile technologies.  ... 
doi:10.1177/1206331208319147 fatcat:pgmtjasf4na5jkretdffqjknmm


I. Ignacio San Jose, J. Martinez, N. Alvarez, J. J. Fernandez, F. Delgado, R. Martinez, J. C. Puche, J. Finat
2013 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
with this approach.  ...  The Visualization platform is scalable and can be applied to urban environments, provided open source files be used; CityGML is an open standard based on a geometry -driven Ontology which is compatible  ...  Currently, there is no financial support for this activity.  ... 
doi:10.5194/isprsarchives-xl-5-w2-367-2013 fatcat:i2ng63arrrct7axluojcq2afay

NL-Graphs: A Hybrid Approach toward Interactively Querying Semantic Data [chapter]

Khadija Elbedweihy, Suvodeep Mazumdar, Stuart N. Wrigley, Fabio Ciravegna
2014 Lecture Notes in Computer Science  
Motivated by a usability and interactivity perspective, we propose to combine two query approaches (graph-based and natural language) as a hybrid query approach.  ...  The results of evaluating our approach with expert and casual users on a large semantic dataset are very encouraging; both types of users were highly satisfied and could effortlessly use the hybrid approach  ...  NL-Graphs: A Hybrid Approach toward Querying Semantic Data As discussed previously, the hybrid approach presented here combines two different query approaches (NL-and graph-based) to support users during  ... 
doi:10.1007/978-3-319-07443-6_38 fatcat:lbrigtoofjccbo5jxayhxsfxdi

SP-ACT: A hybrid framework for complex activity recognition combining OWL and SPARQL rules

Georgios Meditskos, Stamatia Dasiopoulou, Vasiliki Efstathiou, Ioannis Kompatsiaris
2013 2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)  
In this paper we describe SP-ACT, a hybrid framework for the derivation of high-level activity interpretations in context-aware environments, by defining a combination of OWL ontologies and SPARQL CONSTRUCT  ...  The goal of the hybrid framework is to address the limitations of the ontology-based context modelling paradigm in domains that require the recognition of complex context elements, namely, the lack of  ...  ACKNOWLEDGMENT This work has been supported by the EU FP7 project Dem@Care: Dementia Ambient Care -Multi-Sensing Monitoring for Intelligent Remote Management and Decision Support under contract No. 288199  ... 
doi:10.1109/percomw.2013.6529451 dblp:conf/percom/MeditskosDEK13 fatcat:csofyz62drgdtemtlzox4udomu

Machine Learning Methods for Forest Image Analysis and Classification: A Survey of the State of the Art

Clopas Kwenda, Mandlenkosi Gwetu, Jean Vincent Fonou Dombeu
2022 IEEE Access  
This paper aims to review and provide an up-to-date survey on machine learning and knowledge driven approaches towards remote sensing forest image analysis.  ...  There is a mismatch between what domain experts expect from remote sensing data and what remote sensing science produces.  ...  [47] developed a simple ontological approach for remote sensing image classification. The prototype was built upon the expert remote sensing knowledge expressed in [54] . A.  ... 
doi:10.1109/access.2022.3170049 fatcat:k4igwev3bbfyjgcfbxfksynmem

Ontology-Based Classification of Building Types Detected from Airborne Laser Scanning Data

Mariana Belgiu, Ivan Tomljenovic, Thomas Lampoltshammer, Thomas Blaschke, Bernhard Höfle
2014 Remote Sensing  
Accurate information on urban building types plays a crucial role for urban development, planning, and management.  ...  The ontology-based classification yielded convincing results for the -Residential/Small Buildings‖ class (F-Measure 97.7%), whereas the -Apartment Buildings‖ and -Industrial and Factory Buildings‖ classes  ...  Ontology Approaches in GIScience and Remote Sensing In the last decade, ontology became a widely accepted solution to deal with the semantic heterogeneity problems that prevent information discovery and  ... 
doi:10.3390/rs6021347 fatcat:7bssskmhtzfz3nsge3gfstt7xe

SyntEO: Synthetic Data Set Generation for Earth Observation and Deep Learning – Demonstrated for Offshore Wind Farm Detection [article]

Thorsten Hoeser, Claudia Kuenzer
2022 arXiv   pre-print
SyntEO is thus a hybrid approach that creates an interface between expert knowledge and data-driven image analysis.  ...  Thus, SyntEO makes the learning process approachable, which is an important cornerstone for explainable machine learning.  ...  Ontologies have already been used in GIScience and remote sensing, often for the purpose of adding semantics to large geo-or remote sensing databases [4, 39] or directly for image analysis [40, 41]  ... 
arXiv:2112.02829v2 fatcat:4ofbjcl5vffqratienlpfyazsy

Towards user-adaptive remote sensing: Knowledge-driven automatic classification of Sentinel-2 time series

Damien Arvor, Julie Betbeder, Felipe R.G. Daher, Tim Blossier, Renan Le Roux, Samuel Corgne, Thomas Corpetti, Vinicius de Freitas Silgueiro, Carlos Antonio da Silva Junior
2021 Remote Sensing of Environment  
The approach relies on a conceptual framework inspired from ontologies of scientific observation and geographic information to describe the representation of geographic entities in remote sensing images  ...  a hybrid system combining data-and knowledge-driven approaches.  ...  Acknowledgments This work was supported by the French National Centre for Space Studies (CNES) through the TOSCA CASTAFIOR project (grant agreement 181670), by the European Union's Horizon 2020 Research  ... 
doi:10.1016/j.rse.2021.112615 fatcat:ifff33s5qvbuxdovn2ofyqeuay

A Semantic-Based Approach for Landscape Identification [chapter]

Anne Toulet, Emmanuel Roux, Anne-Élisabeth Laques, Éric Delaître, Laurent Demagistri, Isabelle Mougenot
2019 Studies in Computational Intelligence  
Here we present an original method for the automation of landscape identification in a satellite image. There are two major challenges in this process.  ...  of dedicated ontologies can meet these challenges.  ...  Conclusion We have presented a hybrid approach that draws on both expert knowledge formalized in ontological modules and new knowledge developed through symbolic learning.  ... 
doi:10.1007/978-3-030-18129-1_6 fatcat:ryhnxnhljrgrzdb5h4kdedelfy

Geographic Object-Based Image Analysis – Towards a new paradigm

Thomas Blaschke, Geoffrey J. Hay, Maggi Kelly, Stefan Lang, Peter Hofmann, Elisabeth Addink, Raul Queiroz Feitosa, Freek van der Meer, Harald van der Werff, Frieke van Coillie, Dirk Tiede
2014 ISPRS journal of photogrammetry and remote sensing (Print)  
This article investigates these development and its implications and asks whether or not this is a new paradigm in remote sensing and Geographic Information Science (GIScience).  ...  We crystallize core concepts of GEOBIA, including the role of objects, of ontologies and the multiplicity of scales and we discuss how these conceptual developments support important methods in remote  ...  The pixel based approach has been a dominant paradigm in remote sensing although very few scientific articles explicitly use the word ''paradigm''.  ... 
doi:10.1016/j.isprsjprs.2013.09.014 pmid:24623958 pmcid:PMC3945831 fatcat:erhoap2rgnei3cbc3mdhw6e7pi

Intelligent Modeling and Verification 2014

Guiming Luo, Xiaoyu Song, Xiaojing Yang, Krishnaiyan Thulasiraman
2014 Journal of Applied Mathematics  
Through an extensive peer-review process, 32 papers were selected for publication in the new special issue. A total of 16 papers describe optimal system modeling.  ...  Acknowledgments We sincerely thank the researchers who contributed to this special issue for their inspiring work, as well as the anonymous reviewers for their diligent assistance.  ...  In addition, we would like to express our appreciation for the editorial board members of this journal, who provided valuable help and support throughout the preparation of this special issue.  ... 
doi:10.1155/2014/632027 fatcat:qfrhxkghfnccrnjm5mqxygzcjy
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