Graph databases are taking place in many different applications: smart city, smart cloud, smart education, etc. In most cases, the applications imply the creation of ontologies and the integration of a large set of knowledge to build a knowledge base as an RDF KB store, with ontologies, static data, historical data and real time data.

Per aumentare la resilienza nel sistema di trasporto urbano delle città europee, e per renderle più smart.   http://www.resolute-eu.org

Smart cities are providing advanced services gathering data from different sources. Cities collect static data like road graphs, service description as well as dynamic/real time data like weather forecast, traffic sensors, bus positions, city sensors, events, emergency data, etc. RDF stores may be used to integrate all information coming from different sources and allow applications to use the data to provide new advanced services to the citizens and city administrators exploiting inferential capabilities and indexes. These city services are typically based on geographic positions and need to access quickly to the real time data (e.g., next time of bus arrival) as well as to the historical data to perform some data analysis to compute predictions (based on statistics and real time cumulated data). In this paper, the needs and constraints for RDF stores to be used for smart cities services and the currently available RDF stores are evaluated. The assessment model allows understanding if they are suitable as a basis for Smart City modeling and application.   The DISIT Smart City RDF Store benchmark proposed has been tuned for generic smart city services in order to compare results that can be obtained by using different RDF Stores. In the benchmark, particular emphasis is devoted to geo and full text searches that are partially considered in other well-known RDF store benchmarks as LUBM and BSBM. The paper reports the validation of the Smart City RDF Benchmark on the basis of Florence Smart City and Tuscany Region (Italy), comparing the results of adopting Virtuoso and GraphDB. Others graph database (RDF Stores) have been also initially taken into account but later not addressed since  them do not cover the needed functionalities. The benchmark includes (in progress): DATA: a zip file containing the data triples; The ZIP file (Km4city-benchmark-2015-disit.zip) containing the triples refer to Km4City Model and tools for Smart City. The data triples CANNOT be used in toto or partially for creating online services. They can be ONLY used for assessing and bechmarking in private servers and storages other RDF stores and Graph Databases. Thus, no service can be created by exploiting in total or partially those data since you are not authorized and licensed. The data cannot be processed for reusing and redistributing them for commercial purpose or for any other activitiy different than benchmarking RDF and Graph databases. QUERY: a document containing a list of SPARQL queries identified as reported in the report; DOC: a report describing the results. If you obtain data results from RDF store and Graph database and you would like to make them accessible and visible on this page, please send us an email with a report at info@disit.org Any other information of RDF benchmarking would be appreciated.   Smart city RDF Benchmark, evaluation Performance evaluation of RDF stores for SMART city services   SPARQL queries: Smart city RDF Benchmark, 2015 Detailed description of the queries used for the RDF benchmark for Smart city services  

This is the current recipes of the Km4City published since the 5th of July 2015. It is based on Virtuoso RDF Store. It is the first time that we passed from OWLIM to Virtuoso.

RETURN to main page of SERVICEMAP API Example of Embedding ServiceMap Km4City view into a third party web page. The code is reported below and produce the following example into your web page.

  Settore: Governance di progetti Smart City 

A typical major requirement in a Smart City/Cloud environment consists of an engine for distributed task scheduling. In this context, DISIT lab developed an efficient solutions for Smart management and scheduling, Distributed SCE Scheduler, DISCES. DISCES consists of a set of distributed instances of running agents performing concurrent tasks.

DISIT Lab is publishing a selection of its tools as Open Source on: DISIT Lab portal, this portal: FODD: Florence Open Data Day mobile application exploiting Km4City API and http://servicemap.disit.org data, see also http://www.disit.org/km4city. easrly version before the starting of projects such as Sii-Mobility, RESOLUTE, REPLICATE, etc. GITHUB: https://github.com/disit Linked data, LOD, Linked Open Graph, http://log.disit.org Visual Query Graph: a visual query tool for SPARQL query on top of LOG.DISIT.oRG, adopted as development tool, RDF store browser, and SPARQL training in several projects. SPARQL query interface: a tool for making queries on RDF stores via SPARQL and it include a license checker for different kind of data licenses and for solving data aggregation and composition purposes Decision Support Systems, DSS SmartDS: a decision support system based on System Thinking, adopted in RESOLUTE H2020 project and others ResilienceDS: a decision support systems based on FRAM modeling as exagons, developed and adopted in RESOLUTE project ICARO: smart cloud and monitoring tools SCE, Smart City/Cloud Engine front end interface, SCE is part of DISCES a Distributed SCE Scheduler Tools (SCE: Smart City/Cloud Engine), a DISIT tool for smart environments. It is currently in use in Km4City Project and tools, and in ICARO Cloud project and service, see CLOUD page. SCE, Smart City/Cloud Engine backend, SCE is part of DISCES a Distributed SCE Scheduler Tools (SCE: Smart City/Cloud Engine), a DISIT tool for smart environments. It is currently in use in Km4City Project and tools, and in ICARO Cloud project and service, see CLOUD page ICKB: Icaro Cloud Knowledge Base and Ontology, it has been used on the basis of SCE above and in ICARO Cloud project and service, see CLOUD page. ICSM: ICARO Cloud Supervisor and Monitoring, it has been used in ICARO Cloud project and service, see CLOUD page. ICLOS: Icaro Cloud Simulator, it has been used in ICARO Cloud project and service, see CLOUD page. Km4City, Sii-Mobility, RESOLUTE, REPLICATE: smart city big data open source tools. Km4City is a knowledge base and a research line of DISIT lab mainly developed before the start of Sii-Mobility, RESOLUTE, REPLICATE projects. While it has been mainly improved by them. Those projects are complementar each other and almost all of them use and contribute the  Km4City research line. ServiceMap smart city knowledge base tool: smart city service tool (mainly developed for Sii-Mobility project) for accessing to km4city knowledge base, for service browsing and query, for Smart City API for mobile and for mobile development tool, http://www.disit.org/km4city Km4City ontology model and files are accessible from http://www.disit.org/km4city improved with the support of projects as Sii-mobility, REPLICATE and RESOLUTE SCE, Smart City/Cloud Engine front end interface, SCE is part of DISCES a Distributed SCE Scheduler Tools (SCE: Smart City/Cloud Engine), a DISIT tool for smart environments. It is currently in use in Km4City tools, and in ICARO Cloud project and service, see CLOUD page. Developed for ICARO, and then improved for Sii-Mobility, and used in many other projects SCE, Smart City/Cloud Engine backend, SCE is part of DISCES a Distributed SCE Scheduler Tools (SCE: Smart City/Cloud Engine), a DISIT tool for smart environments. It is currently in use in Km4City tools, and in ICARO Cloud project and service, see CLOUD page. Developed for ICARO, and then improved for Sii-Mobility, and used in many other projects DIM-RIM: Data Ingestion Manager and RDF Indexing Manager, WEB page on DISIT lab with user manuals, DIM and RIM area used in Km4City and tools, Sii-Mobility smart city national SCN project, RESOLUTE H2020 Dashboard Builder and executor: a tool for creating dashboard for smart city. See Km4City example of dashboard as reported in http://www.km4city.org/controlroomtools.html for the documentation see http://www.disit.org/6935 which is manual with examples regarding widgets. Developed for REPLICATE Project, and used in others as Sii-Mobility, RESOLUTE. Sii-Mobility Dev Kit Mobile AppKm4city: Open Source version of the Sii-Mobility mobile and web app, open modular (the full version is operative and accessible on all stores as "Firenze dove cosa", or " Toscana dove cosa", you can install from http://www.km4city.org/app ). Developed for Sii-Mobility, adopted for the training and development meeting of the 24 janaury 2017, and as a basis for the Hackathon of 7-8 April 2017 in Florence. Sensor Server Manager: open source for gathering data from mobile app. Data Enrichment, data enricher: a tool for enriching RDF stores and mysql stores with URI, links to dbpedia. Smart City Data Warehouse ETL processes collection: a collection of ETL processes to gather data (static and real time data) from city municiplality, and operators and other kinds of sources by using Penthao Kettle tool. Smart City Recommender: a set of tool for producing recommendations to city users connected via Smart City API and apps, Sii-Mobility project respository: main entrance to the tools developed and used into Sii-mobility project. They are listed according to their ID, the description of those IDs can be found on http://www.disit.org/6852, and on http://www.sii-mobility.org NLP-Hadoop: NLP Gate (Natural Language Processing) support for Hadoop, is coming... AXMEDIS framework, is coming... If you have a particular request to access at a source code of a DISIT tool that is not presently on GitHub please contact paolo.nesi@unifi.it  

RIM and DIM are accessible at source code on GITHUB