Hungarian WordNet in RDF (Turtle) format for Linked Open Data / semantic web applications.
Neticle mention graph in which summarizes the key topics, the related sentiments and the connections in large amount of social data about a brand or company.
The ambassador for Hungary, András Micsik is a team leader within the Department of Distributed Systems at MTA SZTAKI.
This dataset aims at publishing the contents of Hungarian archives as Linked Open Data based on the National Digital Data Archive of Hungary.
The Internet of Things (IoT) with billions of connected devices has been generating an enormous amount of data every hour.
Deirdre Lee, the ambassador for Ireland, is very active in the Irish and international Open Data community.
Query federation over Linked Data sources has gained a significant attention in the last couple of years.
A view on the model and tools for Km4City. http://www.disit.org/km4city, http://servicemap.disit.org
A very large number of public and private data sets are available from local governments and are a huge resources for Europe and for the cities. In most cases, the citizens use worldwide operators such as Google, OpenStreet Map, Here, TomTom, etc., to get information while they found it in most cases insufficient for who is leaving in the city. The local governs have much more detailed data, some of them are public other are private and accessible only as authenticated services and thus not easily accessible for worldwide operators. These open and private valuable data are too fragmented and not accessible for the final users, citizens or companies that use to exploit them for providing services. They could be a source of revenues and are becoming a big business for local specific services, too small and complex to be of interest for worldwide operators.
In order to solve the above described problems and provide a unique point of access for interoperable data of a city metropolitan area we have realized (http://www.disit.org/km4city ) an ontological model called Km4City and well formalized and open grounded on ontology standards. In addition, a set of tools for data ingestion, management, aggregation, indexing and for producing in short time web and mobile applications have been realized and make accessible. The solution is presently today in place in Florence and whole Tuscany area. A smarter navigation can be performed from http://servemap.disit.org while mobile applications are accessible on Google Play and Apple Store.
The Km4City solution is covering multiple domains for citizens integrating aspects of mobility and transport, with energy, banks, parking, commercial, bike paths, delay for busses, garden areas, etc.
Analyzing relatiohisps among Star Wars and Luke Skywalker with Linked Open Graph exploiting dbPedia
A number of accessible RDF stores are populating the linked open data world. The navigation on data reticular relationships is becoming every day more relevant. Several knowledge base repositories present relevant links to common vocabularies while many others are going to be discovered increasing the reasoning capabilities of our knowledge base applications. Linked Open Graph, LOG, is a web tool for collaborative browsing and navigation on multiple SPARQL entry points, RDF stores and LD in integrated manner. The LOG.disit.org tool is shortening the gap from the users to understand the Linked Data and provides an easy and accessible set of samples to navigate in multiple RDF stores with LD/LOD: providing features and advantages using dbPedia, Getty, Europeana, Geonames, etc. The LOG tool is free to be used, and to be embedded in third party pages. It has been adopted, developed and/or improved in multiple projects: such as ECLAP for social media cultural heritage, Sii-Mobility for smart city, and ICARO for cloud ontology analysis, OSIM for competence / knowledge mining and analysis.
The LOG.DISIT.ORG is covering multiple domains: cultural heritage, library, smart city, smart cloud, e-govern, etc. It allows discovering links, saving and sharing the graphs among a community.
The Open PHACTS project ( http://www.openphacts.org/) has built a platform for drug discovery that integrates data over diverse sets of public chemistry and biological data. It currently connects linked open data from 12 different data sources, including chemical compounds, protein targets, biological pathways and tissues, and diseases. The diversity and size and of the Open PHACTS data are growing rapidly, and it contains currently more than 3 billion triples. The Open PHACTS project is a unique collaboration between European academic groups, small businesses and large pharmaceutical companies, partially funded by the EU. The driver for the project is to enable scientists to easily access and process data from multiple sources to solve real-world drug discovery problems that were very difficult to solve before. These drug discovery problems formed the basis for selecting what public data sources were integrated in the Open PHACTS project. Anyone can freely access the Open PHACTS data through a well documented API, and numerous workflows to answer specific biomedical questions have been developed and published using the KNIME and Pipeline Pilot pipelining tools. In addition, several custom applications have been built using the API. Open PHACTS has shown that Linked Open Data in the form of RDF triples can be used effectively by the scientific community, and allows queries that were previously very difficult or impossible to run. Future directions include the integration of additional public data sources, integration of internal company data with Open PHACTS data, and the continued development of workflows for scientific questions that can only be answered using linked data.
