Semantic Components Product Sheet

SEMANTIC COMPONENTS PRODUCT SHEET

semantic components Semantic Components is a powerful suite of tools, designed as a bridge between Geospatial domain and Semantic Web/Linked Data/graph databases world. It allows import/export and analysis of combined graph and GIS data as well as direct access from geospatial platform to RDF sources, SPARQL endpoints and graph databases. desiGn and fUnctionality oVerVieW The Semantic Component is robust tool designed as an extension to the proven GIS platform - Hexagon’s GeoMedia. It utilizes the power of most advanced RDF graph database - Franz’s AllegroGraph (some limited functionality available for other repositories compliant with W3C RDF and SPARQL e.g.: Sesame and Virtuoso). Semantic Components extends GeoMedia sophisticated visualization, analytic, and processing functionality with Linked Data and graph database access.

Key featUres • Creation of new Linked Data datasets and graph databases, • Import of Linked Data and graph data into the GeoMedia environment, • Visualization of imported data using sophisticated cartographic algorithms, • Combined graph/spatial analysis, • Enrichment of the Linked Data using vast number of GeoMedia processing tools, • Export and publishing of data into Linked Data cloud, • Direct access to graph databases, • Direct access to SPARQL endpoints. Benefits Users • Simplifies the process of creation of Linked • Mapping agencies, Data from traditional data sources, • Open Data publishers, • Automates import of RDF and graph data into • General graph data users, GeoMedia workspace, • Geo-marketing firms, • Automates the process of spatial data • Civil and military intelligence, export into Linked Data with the capability of GeoSPARQL spatial representation, • Anti-fraud agencies, • Offers direct upload of converted spatial data • Data analysts, into other Linked Data solutions, • Data scientists. • Allows advanced distributed SPARQL analysis inside geospatial platform, Accepted data formats • Allows near-on-line presentation of graph • All data formats supported by GeoMedia data on the map, Professional (Oracle Spatial, Microsoft SQL • Allows performing unique, combined spatial/ Server, PostGIS, ArcInfo, ArcView, MapInfo, graph analysis. MicroStation, AutoCAD, GML, KML, etc.), • RDF/XML, RDF/Turtle, N-Triples, Sample applications • non-spatial, • Conversion of public registries to Linked • simple - lat/lon geometry representation, Open Data format (e.g. geographic names, • GeoSPARQL geometry representation, administrative boundaries), • SPARQL and GeoSPARQL compliant endpoints, • Linked Data enrichment- adding spatial aspect • Graph databases/triple stores: to non-spatial datasets, • AllegroGraph (Franz Inc.), • Existing data validation - checks of spatial • Sesame (limited functionality), representation quality, • Virtuoso (limited functionality), • Linked Data analysis - visualization and spatial analysis of data available in RDF files • CKAN for dataset publication. or SPARQL endpoint form, • Bulk loading of spatial data to graph database, System requirements and • Detections of suspicious transactions prerequisites on properties market (frauds extorting • Intel 64 or AMD 64 bit processor, 8GB RAM, compensations on state buy-outs of plots for 5GB HDD, public roads), • Windows 7, 8, 8.1, 10, Windows Server 2008 R2, • Geo-triggered social network graph detection 2012, of crime or terrorist threat (gathering of gang members in certain points), • GeoMedia Professional 2015, • Visualization of geo-marketing analysis on a • Databases: Oracle 11g, 12, SQL Server 2012, 2014, PostgreSQL 9.3, AllegroGraph 5.1. map.

The Wroclaw Institute of Spatial Information and Artificial Intelligence 36/1, Szczytnicka St 50-382 Wroclaw, Poland t: +48 71 729 78 19 www.wizipisi.pl