SPUD-2.js

Excerpt

one source of information in our scenario is the social media data obtained from the LiveDrive trac update service that provides information about the city in the form of messages. This data is lifted into an events ontology and a domain-specific sub-ontology is automatically generated using a hierarchical clustering technique.

Synopsys

  1. having the LiveTrac update service >> access, LiveTrac, Update, Service
  2. listen the LiveTrac service for updates >> listen, LiveTrac, Service, Update
  3. having a message from the LiveTrac service >> receive, Message, LiveTrac, Service
  4. lift semantic data from the message using hierarchical clustering method >> lift, Data, Message, Method, HierarchicalClustering
  5. represent the data using the event ontology and sub-ontology >> describe, Data, Ontology, SubOntology

Diagram

Turtle

@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix : <http://purl.org/datanode/ex/0.2/SPUD/2#> . @prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> . @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix dbpedia: <http://dbpedia.org/resource/> . @prefix dn: <http://purl.org/datanode/ns/> . @prefix xsd: <http://www.w3.org/2001/XMLSchema#> . @prefix void: <http://rdfs.org/ns/void#> . @prefix skos: <http://www.w3.org/2004/02/skos/core#> . @prefix owl: <http://www.w3.org/2002/07/owl#> . @prefix dbprop: <http://dbpedia.org/property/> . @prefix dct: <http://purl.org/dc/terms/> . <http://purl.org/datanode/ex/0.2/SPUD/2#> a foaf:Document ; rdfs:comment "0) having the LiveTrac update service >> access, LiveTrac, Update, Service 1) listen the LiveTrac service for updates >> listen, LiveTrac, Service, Update 2) having a message from the LiveTrac service >> receive, Message, LiveTrac, Service 3) lift semantic data from the message using hierarchical clustering method >> lift, Data, Message, Method, HierarchicalClustering 4) represent the data using the event ontology and sub-ontology >> describe, Data, Ontology, SubOntology" ; rdfs:label "one source of information in our scenario is the social media data obtained from the LiveDrive trac update service that provides information about the city in the form of messages. This data is lifted into an events ontology and a domain-specific sub-ontology is automatically generated using a hierarchical clustering technique." . :LiveTrac a dn:Datanode . :database a dn:Datanode . :view1 dn:isExtractionOf [ dn:isSelectionOf :LiveTrac ; dn:isUpdateOf :database ] ; dn:usesSchema <http://linkedevents.org/ontology/>, [ owl:imports <http://linkedevents.org/ontology/> ] ; skos:note "... using hierarchical clustering method ..."@en .