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Artificial Intelligence Aided Geospatial Knowledge Databases. Creodias and Other Implementations

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Artificial Intelligence Aided Geospatial Knowledge Databases. Creodias and Other Implementations Artificial Intelligence aided Geospatial Knowledge Databases. Creodias and other implementations Adam Iwaniak Wroclaw Institute of Spatial Information and Artificial Intelligence “Copernicus and Artificial Intelligence” workshop 28 January 2020 Brussels, Belgium Integration of WWW and GIS Internet industry Linked Data Data on the Web Spatial data on the Web Geospatial industry SDI “Copernicus and Artificial Intelligence” 28 January 2020 RDF model Building 1461215_1.0024.26/1.1_BUD is located on the parcel no. 141215_1.0024.26/1 <http://pzgik.geoportal.gov.pl/egib/1461215_1.0024.26.1_BUD> <is_contained_in> <http://mapy.geoportal.gov.pl/imap/?identifyParcel=141215_1.0024.26 /1> 1461215_1.0024.26.1_B WR1K/00242114/4 UD 141215_1.0024.26/1 “Copernicus and Artificial Intelligence” *LMR – land and mortgage register record 28 January 2020 Orthophotomap NID https://pzgik.geoportal.go https://zabytek.pl/zasoby/Zabyt OpenStreetMap v.pl/orto/dataset/8830040 ekNieruchomy/PL.1.9.ZIPOZ.NID_N https://www.openstreetmap.org/w / _14_PH.8443 ay/25748432 Land and building Belvedere Palace - a real records object https://pzgik.geoportal. https://pzgik.geoportal.gov.pl/e gov.pl/egib/146510_8.061 gib/146510_8.0615.11.1_BUD DBpedia 5.11.1_BUD http://dbpedia.org/page/Belwe der WikiData https://www.wikidata.org/ Website BDOT10k wiki/Q645474 http://www.polskiezabytki.pl https://pzgik.geoportal.go /m/obiekt/7837/Warszawa_- v.pl/bdot10k/building/Belw MPZP _Palac_Belweder/ eder https://wrotamazowsza.pl/m pzp/121516-288589-251115 “Copernicus and Artificial Intelligence” 28 January 2020 WWW Thematic data NID State OpenStreetMap Geodetic and Cartographic Resource Orthoimagery DBpedia BDOT10k WikiData Land and building records Local MPZP Websites goverments “Copernicus and Artificial Intelligence” 28 January 2020 Knowledge graph “Copernicus and Artificial Intelligence” 28 January 2020 Spatial data to RDF conversion Import Dxf, GML /export files GeoMedia Spatial Analysis WIZIPISI SQL Semantic Components DB Questions: 1. Find parcels of Adam Iwaniak Import SPARQL /export family 2. Find property of Adam Iwaniak RDF Repository RDF family AllegroGraph files Graph Analysis “Copernicus and Artificial Intelligence” 28 January 2020 SNA analysis - centrality measures • How many direct connections does a node have with other nodes in the 0,28 network? 0,28 • How important is a given node in the 0,14 network / group? 0,14 1 • Based on the number of connections 0,14 for a given vertex. 0,14 0,14 “Copernicus and Artificial Intelligence” 28 January 2020 INSPIRE metadata Catalogue and WWW integration Innovativeness of the new method of publishing data, metadata and spatial data services: • Metadata is available for search engines • Metadata representation in HTML + semantic annotations • Enrichment of metadata with links to other resources: GEMET, GeoNames, DBPedia. “Copernicus and Artificial Intelligence” 28 January 2020 INSPIRE data in HTML + RDFa Spatial Data Base Google Indexing HTML+ RDF RDFa SOoI Geoportal SOoI – Spatial Object of Interest /point, line and area/ “Copernicus and Artificial Intelligence” 28 January 2020 GeoDCAT-AP profile Compliance “Copernicus and Artificial Intelligence” A.Iwaniak, The INSPIRE Conference 2014, Aalborg, 16-20 June 2014 28 January 2020 Data and Information Access Services – Copernicus DIAS, 2018 act “Copernicus and Artificial Intelligence” 28 January 2020 DIAS - Data and Information Access Services • A platform for quick access to a huge resource of Earth Observation data (satellite imagery) and Copernicus themed services • Easy and quick search, processing and sharing of satellite data • Quick access to satellite imagery via virtual machines “Copernicus and Artificial Intelligence” 28 January 2020 Data catalogue browser.creodias.eu OGC CSW “Copernicus and Artificial Intelligence” 28 January 2020 SPARQL endpoint (graph database /rdf repository) sparql.creodias.eu/… “Copernicus and Artificial Intelligence” 28 January 2020 CREODIAS Knowledge Database – World divided into hexagons Average Hexagon Area Average Hexagon Edge Number of objects (km2) Length (km) 1,770.3235517 22.606379400 288,122 Uber’s Hexagonal Hierarchical Spatial Index “Copernicus and Artificial Intelligence” 28 January 2020 https://sparql.creodias.eu:20035/#/repositories/creodias CREODIAS Knowledge Database sparql.creodias.eu/… SEMANTIC REPO ws.creodias.eu/metadata/SemanticWeb Hexagons ids, geom optionally OTHER EXT REPOS (GeoNames, User’s RDF stores) EO DATA PRODUCTS Attribute Value S2A_MSIL1C_20180412T083651_ Title N0206_R064_T35RPH_20180412 T161307.SAFE Spatial objects Organisation ESA Ids, geom Schema.org Start Date 2018-04-12 08:36:51 ws.creodias.eu/metadata/findhex Completion Date 2018-04-12 08:36:51 browser.creodias.eu AdministrativeArea Island Mission Sentinel-2 Airport Lake Cloud Coverage 0.01 BodyOfWater Mountain Product Type L1C Bridge MountainRange Instrument MSI Building NaturalEvent Processing Level LEVELL1C City NaturalPlace Country ProtectedArea Processing Start 2018-04-12 16:13:07 Dam Region Resource Size 755592104.0 Earthquake River Platform S2A EthnicGroup Sea /eodata/Sentinel- 2/MSI/L1C/2018/04/12/S2A_MSI Event Settlement Product Identifier L1C_20180412T083651_N0206_R Glacier Volcano 064_T35RPH_20180412T161307. SAFE Orbit Number 14647 Orbit Direction descending NSSDC Identifier 2015-000A 740a2303-b99d-4f0e-b914- INSPIRE metadata ID 18a679c4f827 CREODIAS DATA CATALOG (OGC CSW, INSPIRE/ISO19115 METADATA) EO DATA REPO “Copernicus and Artificial Intelligence” 28 January 2020 ws.creodias.eu/metadata/SemanticWeb “Copernicus and Artificial Intelligence” 28 January 2020 SPARQL Endpoint browser.creodias.eu sparql.creodias.eu/… “Copernicus and Artificial Intelligence” 28 January 2020 Semantic search - distributed query to three RDF repositories State Register of Geographical Names (SRGN), CREODIAS AND DBpedia Find SENTINEL-1 GRD imagery, in SELECT DISTINCT ?title ?geom ?river{ the area of physiogeographic {SERVICE <http://semantic.geoportal.gov.pl/sparql> {SELECT DISTINCT ?prng_feature ?prng_label object of SRGN (Skawinka river): {?prng_feature <https://pzgik.geoportal.gov.pl/ontologies/prng/nazwaGlowna> ?prng_label. FILTER contains(?prng_label,"Skawinka") }}} {SERVICE <http://dbpedia.org/sparql> {SELECT ?river {?river a <http://dbpedia.org/ontology/River> . ?river <http://dbpedia.org/ontology/sourceCountry> <http://dbpedia.org/resource/Poland> . ?river <http://www.w3.org/2000/01/rdf-schema#label> ?label. FILTER contains (?label, ?prng_label)}}} ?feature a <http://ws.eodias.eu/metadata/feature> . ?feature <http://ws.eodias.eu/metadata/attribute#mission> <http://ws.eodias.eu/metadata/mission/Sentinel-1> . ?feature <http://ws.eodias.eu/metadata/attribute#productType> <http://ws.eodias.eu/metadata/productType/GRD> . ?feature <http://ws.eodias.eu/metadata/attribute#title> ?title . ?feature <http://ws.eodias.eu/metadata/attribute#geometry> ?geom . ?hex <http://ws.eodias.eu/metadata/attribute#feature> ?feature . ?hex <http://ws.creodias.eu/metadata/object/river> ?river . } LIMIT 100 “Copernicus and Artificial Intelligence” 28 January 2020 The use of AI to build the real estate knowledge base The National Centre for Research and Development project POIR.01.01.01-00-1274/17 “Copernicus and Artificial Intelligence” 28 January 2020 Estimation and prediction of real estate prices - modelof residential premises in Wroclaw in 2019 Average price of 1 m² of premises “Copernicus and Artificial Intelligence” 28 January 2020 Price differences depending on the type of land use (purpose) “Copernicus and Artificial Intelligence” 28 January 2020 Extraction of information form oblique images “Copernicus and Artificial Intelligence” 28 January 2020 Sentiment analysis • Determining the polarization of the text • Location extraction (exact or approximate) INFERENCE Enriching information on real estate by the degree of their 'popularity', assessing the attractiveness of the area SENTIMENT: POSITIVE SENTIMENT: NEGATIVE "In 2019, the municipal company Wrocławskie "The residents of one of the new buildings at ul. Flats, which manages real estate, plans to carry Barskich at the model housing estate WuWA2. out thermomodernization and connection to The new building is working, as can be seen on the heating network of 35 tenement houses in the walls inside, but the tenants became Przedmieście Oławskie, Psie Pole and Brochów. particularly worried when fragments of the The courtyards in Przedmieście Oławskie, Ołbin facade began to fall off. Some preferred to stay and Kleczków will also be renovated. " on the street waiting for the fire department to secure the area. " https://www.wroclaw.pl/ https://gazetawroclawska.pl/ “Copernicus and Artificial Intelligence” 28 January 2020 Extraction of information from text and pictures - zoning plans Training data Machine Learning CNN + LSTM Test data Model Prediction “Copernicus and Artificial Intelligence” 28 January 2020 What is now, what is coming? 1. The development of Natural Language Processing (NLP) and convolutional networks significantly improves the extent of information and metadata extraction from text and pictures 2. Research on the Name Entity Recognition (NER) make it possible to increase the scope of graph linking 3. We can expect the acceleration in sharing data in the form of knowledge graphs 4. Research on SPARQL queries from natural language questions should facilitate extensive use knowledge graphs. “Copernicus and Artificial Intelligence” 28 January 2020 Thank you Adam Iwaniak [email protected] “Copernicus and Artificial Intelligence” 28 January 2020.
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