THE SEMANTIC WEB DEMO HOUR LUIGI DE RUSSIS 

SUMMARY SOME TOOLS how to write, visualize and query an ontology? SOME OTHER PROJECTS recent projects involving Semantic Web technologies RESEARCH AREAS current research areas in the Semantic Web 

TOOLS 

PROTÉGÉ protégé is one of the (few) applications for modeling ontologies. It is Java-based, extensible, and provides a plug-and-play environment. It is released for all the desktop platforms and offers a web client. protégé is actively maintained by the Stanford Center for Biomedial Informatics Research. Website: http://protege.stanford.edu/ 

PROTÉGÉ 

ANZO FOR EXCEL Anzo is an Excel plugin to associate an ontology to some Excel data. It is another of the (few) applications for modeling ontologies. It is a commercial product. Website: http://www.cambridgesemantics.com/home 

NOTEPAD (AND SIMILAR) 

PROGRAMMING TOOLS Two main programming tools for interacting with Semantic Web data: Apache Jena and OWL API, both Java based. Apache Jena (http://jena.apache.org) is an open source framework for building Semantic Web and Linked Data applications, handling RDF, SPARQL, triple store, OWL, etc. It supports only the Pellet reasoner and does not support OWL 2. OWL API (http://owlcs.github.io/owlapi) is an open source library for creating, parsing, manipulating and serializing OWL ontologies. It supports various reasoners and OWL 2 

OTHER PROJECTS 

THE LINKING OPEN DATA CLOUD DIAGRAM The Open Data Movement aims at making data freely available to everyone. There are already various interesting open data sets available on the Web (such as Wikipedia, Geonames or MusicBrainz). The goal of the W3C Linked Open Data community project is to extend the Web with data commons by publishing various open data sets as RDF and by setting RDF links between them. Upon this dataset, a LOD cloud diagram has been developed (http://lod- cloud.net). 

THE LINKING OPEN DATA CLOUD DIAGRAM Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/ 

LINKED OPEN VOCABULARIES (LOV) The Linked Open Vocabularies project aims at providing easy access methods to most vocabularies available in the linked data Web. The LOV dataset contains the description of RDFS vocabularies or OWL ontologies used or usable by other datasets in the Linked Data Cloud. The project is maintained by two employers of the company Mondeca (http://www.mondeca.com) and supported by various foundations and projects. The LOV datasets contains, nowadays, 431 vocabularies at http://lov.okfn.org. 

LOCCIONI LEAF ISLAND Loccioni Group is an Italian company, located near Ancona, Marche. Its main area of interest is quality control, industrial automation and management of energy processes. The company has a strong R&D area. In 2013, they experimented the idea of a Leaf Community (http://energy.loccioni.com/sustainable- community/), an area where people live in zero-emissions homes, can use electrical and hydrogen-powered cars, children go to solar-powered schools, etc. 

LOCCIONI LEAF ISLAND The Leaf Island is a prototype for an energy management software system for the Leaf Community. Such a prototype is powered by the Leaf Ontology, which comprises both Smart Grid reference models and Building Automation concepts. The goal is to assess the energetic independence of the Loccioni microgrid and eventually acting on the appropriate devices to enforce it, thus minimizing energy exchanges with the bulk energy supply. 

DOGONT DogOnt is an ontology for Intelligent Domotic Environment. It is able to face interoperation issues allowing to describe where a device is located, the set of its capabilities, the technology-specific features needed to interface it, etc. It is a research product of the e-Lite research group at Politecnico di Torino. Website: http://elite.polito.it/dogont Ontology: http://elite.polito.it/ontologies/dogont.owl 

RESEARCH AREAS 

RESEARCH AREAS SCALABLE REASONING reasoning has always been an hot topic in the Semantic Web community there is increasing demand for reasoners that can scale into billions of triples and handle messy data SPARQL PERFORMANCE high performance SPARQL engine 

RESEARCH AREAS LINKED DATA “SCIENCE” how interact with Linked Data? how consume it? how useful is it? What kind of quality is expected? SEMANTIC SENSOR STREAMS how can Semantic Web technologies help to make sense of data streams produced by the various Internet-connected devices? can such streams be reasoned and queried? 

RESEARCH AREAS VISUALIZATION/UI how to effectively interact with ontologies, RDF documents, …? SEMANTIC WEB TECHNOLOGIES FOR MOBILE PLATFORMS 

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