GET: Geospatial Enabling Technologies Ltd

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GET, founded in 2006, is located in Athens, Greece and is an SME specialized in marketing and supply of geospatial products and software services in the field of GeoInformatics in Greece, Europe and Africa. GET has successfully delivered a large number of projects for the public and private sector in Greece and abroad, with significant experience across the entire lifecycle of geospatial data production, and land cover/use data in particular. GET produces, maintains and curates geospatial data for the public and private sector, which are used from thousands of companies on a national level. One of GET’s greatest business drivers is the provision of accurate and timely geospatial information (POIs) to power local and national services for the tourism industry. This is a current priority for national economy and development, and demands low-cost and highly accurate data covering a diverse range of general (e.g. hotels, cultural, food) and specialized tourism domains (e.g. agri-, eco-, religious-, cruise/boat, wedding -tourism), as well as multi-lingual content for emerging non-EU countries (e.g. China, Russia). In addition, GET develops and implements Spatial Data Infrastructures and open geospatial data infrastructures, providing technical support, training, and consulting services for open source GIS solutions. Solutions provided by GET are based on well-known FOSS4G, as well as on in-house development products (like GET SDI Portal), and are conformant with EU (INSPIRE Directive) and international standards (e.g. OGC, W3C). GET is member of the Open Geospatial Consortium (OGC), the Open Data Institute (ODI), the si-Cluster of the Corallia Initiative, and the Hellenic Association of Space Industry. GET has an installed customer base in various countries, Cyprus, Ecuador, Ghana, Greece, United Kingdom, focusing in EMEA, covering a wide range of industries.

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SLIPO

POIs are the content of any application, service, and product even remotely related to our physical surroundings. From navigation applications, to social networks, to tourism, and logistics, we use POIs to search, communicate, decide, and plan our actions. The Big Data assets for POIs and the evolved POI value chain introduced opportunities for growth, but also complexity, intensifying the challenges relating to their quality-assured integration, enrichment, and data sharing. POI data are by nature semantically diverse and spatiotemporally evolving, representing different entities and associations depending on their geographical, temporal, and thematic context. Pioneered by the FP7 project GeoKnow, linked data technologies have been applied to effectively extract the maximum possible value from open, crowdsourced and proprietary Big Data sources. Validated in the domains of tourism and logistics, these technologies have proven their benefit as a cost-effective and scalable foundation for the quality-assured integration, enrichment, and sharing of generic-purpose geospatial data In SLIPO, we argue that linked data technologies can address the limitations, gaps and challenges of the current landscape in integrating, enriching, and sharing POI data. Our goal is to transfer the research output generated by our work in project GeoKnow, to the specific challenge of POI data, introducing validated and cost-effective innovations across their value chain. Read more about SLIPO

News

More Complete Resultset Retrieval from Large Heterogeneous RDF Sources ( 2019-12-05T15:46:09+01:00 Andre Valdestilhas)

2019-12-05T15:46:09+01:00 Andre Valdestilhas

Over recent years, the Web of Data has grown significantly. Various interfaces such as LOD Stats, LOD Laundromat and SPARQL endpoints provide access to hundreds of thousands of RDF datasets, representing billions of facts. Read more about "More Complete Resultset Retrieval from Large Heterogeneous RDF Sources"

DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released ( 2019-09-24T22:41:46+02:00 by Simon Bin)

2019-09-24T22:41:46+02:00 by Simon Bin

Dear all, The Smart Data Analytics group [1] and the E.T.-db-MOLE sub-group located at the InfAI Leipzig [2] is happy to announce DL-Learner 1.4. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released"

DBpedia Day @ SEMANTiCS 2019 ( 2019-08-01T10:35:05+02:00 by Sandra Bartsch)

2019-08-01T10:35:05+02:00 by Sandra Bartsch

 We are happy to announce that SEMANTiCS 2019 will host the 14th DBpedia Community Meeting at the last day of the conference on September 12, 2019. Read more about "DBpedia Day @ SEMANTiCS 2019"

LDK conference @ University of Leipzig ( 2019-03-22T09:21:41+01:00 by Julia Holze)

2019-03-22T09:21:41+01:00 by Julia Holze

With the advent of digital technologies, an ever-increasing amount of language data is now available across various application areas and industry sectors, thus making language data more and more valuable. Read more about "LDK conference @ University of Leipzig"

13th DBpedia community meeting in Leipzig ( 2019-02-22T12:22:07+01:00 by Julia Holze)

2019-02-22T12:22:07+01:00 by Julia Holze

We are happy to invite you to join the 13th edition of the DBpedia Community Meeting, which will be held in Leipzig. Read more about "13th DBpedia community meeting in Leipzig"