1. Semantic Navigation on the Web with SWGET Valeria Fionda 1, Claudio Gutierrez 2, Giuseppe Pirró 1 1 KRDB, Free University of BOZEN-BOLZANO, Bolzano, Italy 2 DCC, Universidad de Chile, Santiago, Chile The graph nature of the Web of Data with thousands of interlinked RDF data sources needs navigational languages. SWGET is available both as a standalone GUI and a Web portal. SWGET enables to write scripts containing navigational expressions written in NautiLOD. Scripts are represented in RDF and thus can be shared, modified and reused. You can instruct your Semantic Web agent and it will locate information of your behalf. The NautiLOD navigational language enables to: 1.declaratively specify data sources in the Web of Data; 2.perform controlled navigation across data sources via ASK SPARQL queries; 3.retrieve data along the navigational path; 4.command actions during the navigation (e.g., send notification messages). SWGET features Standalone GUI Web portal

2. Biomedical Knowledge Repository BKR A SW based application that helps biologists interactively study and explore the BKR. We developed the iExplore to 1)visualize and navigate all the possible semantic predications 2)search for interesting links between concepts. A SW based application that helps biologists interactively study and explore the BKR. We developed the iExplore to 1)visualize and navigate all the possible semantic predications 2)search for interesting links between concepts. iExplore Access to BKR requires UMLS license from NLM. iExplore is available at http://knoesis.wright.edu/iExplore Access to BKR requires UMLS license from NLM. iExplore is available at http://knoesis.wright.edu/iExplore Access to BKR requires UMLS license from NLM. iExplore is available at http://knoesis.wright.edu/iExplore Access to BKR requires UMLS license from NLM. iExplore is available at http://knoesis.wright.edu/iExplore PubMed: 14M predications (facts) extracted from 21M abstracts by normalizing biomedical entities into Metathesaurus concepts UMLS: 12M predications in the Metathesaurus derived from 87 sources integrated in the UMLS Available at http://knoesis.wright.edu/iExplore BKR Schema: 2M hierarchical concepts from Metathesaurus, and 650 relations from Semantic Network BKR Instances: 26M predications from PubMed and UMLS BKR Schema: 2M hierarchical concepts from Metathesaurus, and 650 relations from Semantic Network BKR Instances: 26M predications from PubMed and UMLS

3. LEAPS: A Semantic Web and Linked data framework for the Algal Biomass Domain From Algae to Energy via Semantic Web and Linked data LEAPS enables stakeholders in the algal biomass domain to interactively explore, via linked data, potential algal sites and sources of their consumables across regions in North-Western Europe for generation of bioenergy L inked E ntities for A lgal P lant S ites The first (known) application of SW/LD to Algal Biomass datasets Monika Solanki, Birmingham City University, UK

4. Smart-Aleck: An Interestingness Algorithm for Large Semantic Datasets Kavi Mahesh & Pallavi Karanth, PESIT, India

5. http://activehiring.labs.exal ead.com http://activehiring.labs.exal ead.com Revealing HR trends using LOD cloud

6. X-ENS: Semantic Enrichment of Web Search Results at Real-Time Pavlos Fafalios and Yannis Tzitzikas Institute of Computer Science (ICS), Foundation for Research and Technology -Hellas (FORTH) Try X-ENS: http://139.91.183.72/x-ens query results LOD entities SWC’12, Boston, USA

7. Semantic Web Challenge 2012 | Alexander Seeliger and Heiko Paulheim | TU Darmstadt A Semantic Browser for Linked Open Data LOD for end users – is that all we can do?

8. Open Self Medication - Self Medication molecules are rated (from A to E) given a tolerance/efficient ratio.

9. Semantic Web Challenge 2012 | Heiko Paulheim | TU Darmstadt Browsing the Semantic Web with Auto Complete The Open World Assumption – do we really need to live with it?

11. SEMANTIC WEB CHALLENGE iPlant Semantic Web Platform uses SSWAP (Simple Semantic Web Architecture and Protocol) to enable Semantic Pipelines across Distributed Web and High Performance Computing Resources Live production platform (http://sswap.info) offering transaction-time OWL reasoning to discover, construct, and engage on-demand semantic pipelines of third-party semantic web services Background image: Creative Commons NASA/NOAA/GSFC/Suomi NPP/VIIRS/Norman Kuring UC Davis Texas Advanced Computer Center University of Arizona Gessler DDG, Bulka B, Sirin E, Kang Y, Klinov P, Vasquez-Gross H, Yu J, Wegrzyn J

12. SELECT ?x WHERE { ?x rdf:type schema:Movie. ?x dbpedia:starring ?y. ?y rdf:type dbpedia:Athlete. ?y rdf:type dbpedia:MartialArtist } SELECT ?x WHERE { ?x rdf:type schema:Movie. ?x dbpedia:starring ?y. ?y rdf:type dbpedia:Athlete. ?y rdf:type dbpedia:MartialArtist } 0 Results !!! Did you mean? SELECT ?x WHERE { ?x rdf:type schema:Movie. ?x dbpedia:starring ?y. ?y rdf:type dbpedia:Athlete } Did you mean? SELECT ?x WHERE { ?x rdf:type schema:Movie. ?x dbpedia:starring ?y. ?y rdf:type dbpedia:Athlete } 1.Brian Lopes 2.Hugo Soto 3.... http://bit.ly/lodatio

13. Use RailGB To Simplify Your Life

14. 14 http://superstreamcollider.org

15. Strabon Greek Adminis trative Geograp hy National Observa tory of Athens Geon ames Corine Land Use Land Cover Coas tline Linke d GeoD ata GeoSPARQL stSPARQL SWeFS National and Kapodistrian UNIVERSITY OF ATHENS K. Kyzirakos, M. Karpathiotakis, G. Garbis, C. Nikolaou, K. Bereta, M. Sioutis, I. Papoutsis, T. Herekakis, D. Michail, M. Koubarakis, and C. Kontoes

16. SPUD- Semantic Processing of Urban Data Documents + Metadata StructureEntities LinksViews Insight Pay-as-you-go, Gain-as-you-go VISIT SPYROS KOTOULAS & FREDDY LECUE @ DEMO + POSTER

17. Tracking Movement and Attention of Crowds in Real Time Analysing Social Streams for London 2012 Opening Ceremony The Problem To manage a big event requires tracking in real time the movement of crowds and if the event is capturing the attention of the audience Our Approach Social Media Analysis Advantages Pervasive, and minimally invasive. The Results http://streamreasoning.org/demos/london2012 http://streamreasoning.org/demos/london2012

18. 18 Exploring the Linked Data Cloud via Contextual Tag Cloud For Billion Triples Challenge Tags are ontological terms assigned to instances. A context is a set of tags that defines a subset of instances. In the Contextual Tag Cloud, the font size of each tag reflects the size of intersection between instances of the context and those of the tag. Users can construct a context by clicking on tags or removing them Tags of an instance can vary under different inference rules Tag font sizes reflect sizes of intersections.  provides a more detailed summary of linkages beyond the LOD cloud diagram;  helps casual users explore a large scale dataset;  helps data providers find potential errors or missing links.

19. “ How we stood on the shoulders of SETI@home… …and made it SEKI@home… ” Search for Embedded Knowledge Items Thomas Steiner (Universitat Politècnica de Catalunya, @tomayac) Stefan Mirea (Jacobs University Bremen, @stmirea)

20. A need for connection… Semantic Web Challenge - ISWC 2012 - Boston 13/11/2012  Semantization of data (events, media, people)  Reconciliation of sparse and highly heterogeneous data  User-centric design: discovering, deciding and recommending  Scalability, Caching and Optimization