A SEMANTIC RETRIEVAL SYSTEM IN REMOTE SENSING WEB PLATFORMS

This paper proposes a solution to reduce the semantic gap between final users and data/processing providers in a web market place dedicated to remote sensing products. Nowadays, search engine are common tools on the Internet. Users are accustomed to use them and used to get tabular classification of...

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Veröffentlicht in:International archives of the photogrammetry, remote sensing and spatial information sciences. Jg. XLII-2/W13; S. 1593 - 1599
Hauptverfasser: Nys, G.-A., Kasprzyk, J.-P., Hallot, P., Billen, R.
Format: Journal Article Tagungsbericht
Sprache:Englisch
Veröffentlicht: Gottingen Copernicus GmbH 05.06.2019
Copernicus
Copernicus Publications
Schlagworte:
Algorithms
Computer science
Engineering, computing & technology
Geographic information systems
Geographical information systems
Graphs
Information systems
Ingénierie, informatique & technologie
Knowledge representation
Natural language processing
NoSQL Database
Ontology engineering
Remote sensing
Sciences informatiques
Search engines
Semantic
Semantics
Sentences
Work platforms
ISSN:2194-9034, 1682-1750, 2194-9034
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:This paper proposes a solution to reduce the semantic gap between final users and data/processing providers in a web market place dedicated to remote sensing products. Nowadays, search engine are common tools on the Internet. Users are accustomed to use them and used to get tabular classification of provided answers. These smart agents are set up to answer basic questions using automatic pages redirection or chitchat. In this research, to ensure coherence between user’s requests and platform answers, natural language processing algorithms and knowledge graphs are integrated within a web platform thanks to a NoSQL graph database connected to open thesauri and Geographic Information Systems (GIS). Therefore, the most pertinent services can be proposed based on input sentences including non-technical vocabulary but also geographical components (the user interface includes a text area and an interactive map). While processing chains and remote sensing ontologies were presented in one of our previous studies, this article focuses on natural languages algorithms and knowledge mining.
Bibliographie:ObjectType-Article-1
ObjectType-Feature-2
SourceType-Conference Papers & Proceedings-1
content type line 22
EORegions_Science
scopus-id:2-s2.0-85067467258
ISSN:2194-9034
1682-1750
2194-9034
DOI:10.5194/isprs-archives-XLII-2-W13-1593-2019