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PSH Product Types Ontology Product DB PBAC Poké- pédia patents data.go v.uk Ox Points Ord- nance Survey Openly Local Open Library Open Cyc Open Corpo- rates Open Calais OpenEI Open Election Data Project Open Data Thesau- rus Ontos News Portal OGOLOD Janus AMP Ocean Drilling Codices New York Times NVD ntnusc NTU Resource Lists Norwe- gian MeSH NDL subjects ndlna my Experi- ment Italian Museums medu- cator MARC Codes List Man- chester Reading Lists Lotico Weather Stations London Gazette LOIUS Linked Open Colors lobid Resources lobid Organi- sations LEM Linked MDB LinkedL CCN Linked GeoData LinkedCT Linked User Feedback LOV Linked Open Numbers LODE Eurostat (Ontology Central) Linked EDGAR (Ontology Central) Linked Crunch- base lingvoj Lichfield Spen- ding LIBRIS Lexvo LCSH DBLP (L3S) Linked Sensor Data (Kno.e.sis) Klapp- stuhl- club Good- win Family National Radio- activity JP Jamendo (DBtune) Italian public schools ISTAT Immi- gration iServe IdRef Sudoc NSZL Catalog Hellenic PD Hellenic FBD Piedmont Accomo- dations GovTrack GovWILD Google Art wrapper gnoss GESIS GeoWord Net Geo Species Geo Names Geo Linked Data GEMET GTAA STITCH SIDER Project Guten- berg Medi Care Euro- stat (FUB) EURES Drug Bank Disea- some DBLP (FU Berlin) Daily Med CORDIS (FUB) Freebase flickr wrappr Fishes of Texas Finnish Munici- palities ChEMBL FanHubz Event Media EUTC Produc- tions Eurostat Europeana EUNIS EU Insti- tutions ESD stan- dards EARTh Enipedia Popula- tion (En- AKTing) NHS (En- AKTing) Mortality (En- AKTing) Energy (En- AKTing) Crime (En- AKTing) CO2 Emission (En- AKTing) EEA SISVU educatio n.data.g ov.uk ECS South- ampton ECCO- TCP GND Didactal ia DDC Deutsche Bio- graphie data dcs Music Brainz (DBTune) Magna- tune John Peel (DBTune) Classical (DB Tune) Audio Scrobbler (DBTune) Last.FM artists (DBTune) DB Tropes Portu- guese DBpedia dbpedia lite Greek DBpedia DBpedia data- open- ac-uk SMC Journals Pokedex Airports NASA (Data Incu- bator) Music Brainz (Data Incubator) Moseley Folk Metoffice Weather Forecasts Discogs (Data Incubator) Climbing data.gov.uk intervals Data Gov.ie data bnf.fr Cornetto reegle Chronic- ling America Chem2 Bio2RDF Calames business data.gov. uk Bricklink Brazilian Poli- ticians BNB UniSTS UniPath way UniParc Taxono my UniProt (Bio2RDF) SGD Reactome PubMed Pub Chem PRO- SITE ProDom Pfam PDB OMIM MGI KEGG Reaction KEGG Pathway KEGG Glycan KEGG Enzyme KEGG Drug KEGG Com- pound InterPro Homolo Gene HGNC Gene Ontology GeneID Affy- metrix bible ontology BibBase FTS BBC Wildlife Finder BBC Program mes BBC Music Alpine Ski Austria LOCAH Amster- dam Museum AGROV OC AEMET US Census (rdfabout) Media Geographic Publications Government Cross-domain Life sciences User-generated content Data2Semantics COMMIT From Data to Semantics for Scientific Data Publishers THE SEMANTIC WEB Editor: Steffen Staab, University of Koblenz-Landau, [email protected] It’s a Streaming World! Reasoning upon Rapidly Changing Information Emanuele Della Valle and Stefano Ceri, Politecnico di Milano Frank van Harmelen, Vrije Universiteit Amsterdam Dieter Fensel, University of Innsbruck person behind the computer? Which content on the news Web portal is attracting the most atten- tion? Which navigation pattern would lead readers to other news related to that content? Do trends in medical records indicate any new disease spread- ing in a given part of the world? Where are all my friends meeting? Can we detect any intra-day cor- relation clusters among stock exchanges? What are the top 10 emerging topics under discussion in the blogosphere, and who is driving the discussions? The state of the art in reasoning over changing worlds is based on temporal logic and belief revi- sion; these are heavyweight tools, suitable for data that changes in low volumes at low frequency. Sim- ilarly, the problem of changing vocabularies and evolving ontologies has undergone thorough inves- tigation, but here the standard practice relies on conguration management techniques taken from software engineering, such as vocabulary and on- tology versioning. These are suitable for ontologies that change on a weekly or monthly basis, but not for high-change-rate, high-frequency domains. Moreover, the typical (Semantic) Web architec- ture, which caches all the information, can hardly be applied to rapidly changing information, be- W ill there be a traf c jam on this highway? Can we reroute travelers on the basis of the forecast? By examining the clickstream from a given IP, can we discover shifts in interest of the http://www.data2semantics.org