]> testbed.owl, v 2.0 2004/02/13 Ontology for Testbed of LSDIS-SemDis project SemDis Ontology Place Typically, entities of type Place include continents, regions, countries, states, cities Thing This class encompasses one of the three major divisions of the ontology by discarding persons and places Person This includes different types/specializations of person Politician Terrorist Researcher This includes different types/specializations of a researcher person Computer Science Researcher Professor This includes different types/specializations of a professor Computer Science Professor This includes different types/specializations of a computer science professor Mathematics Professor This includes different types/specializations of a mathematics professor Statistics Professor This includes different types/specializations of a statistics professor Engineering Professor This includes different types/specializations of an engineeringprofessor Physics Professor This includes different types/specializations of a physicsprofessor Publication Scientific Publication Scientific publications include books, journal articles, conference papers Book Journal Conference University University, Technical Institute or College Academic Department Academic Department within a University or College Mathematics Department Mathematics (Academic) Department within a University or College Statistics Department Statistics (Academic) Department within a University or College Computer Science Department Computer Science (Academic) Department within a University or College Engineering Department Engineering (Academic) Department within a University or College Physics Department Physics (Academic) Department within a University or College Publication Classification Scientific publications classifications ACM Top level Classification The top level ACM publications classifications ACM Second level Classification The Second level ACM publications classifications ACM Third level Classification The Third level ACM publications classifications ACM_Subject_Descriptors Subject descriptors with reference to a classification Country Countries in the world, examples: Mexico, Austria, India Region Regions in the world, examples: North America, Central America, South America City Cities in the world, examples: Athens, Atlanta, Chihuahua, New York State States or Provinces of countries, examples: Georgia, Alaska, Alberta Airport Airports in the world, examples: LAX - Los Angeles, ATL - Atlanta Event Important events, examples: 9/11, Suicide Attacks, Scientific Conference Terrorist_Attack Organization Organizations, examples: CIA, Worldbank, UN Academic Organization Academic organizations, examples: UGA, CalTech, ISI Terrorist_Organization Political Organization Political organizations, examples: republican party, green party, democratic party Financial Organization, examples: bank, credit union Company synonym Alias, aka, examples: Aleman, Boanerges Aleman, Aleman-Meza, B. Aleman lives in Relates a person to a place in which that person lives affiliated with Relates a person to an organization to which that person is affiliated with affiliated with Relates a person to an organization to which that person is member of affiliated with Relates a person to an organization to which that person is leader of has citizenship in Connects a person to a country by its citizenship, examples: Bill Clinton has_citizenship_in USA published in listed author in faculty member at a professor is a faculty member at an academic department has academic department An academic department located in a University located in Connects a place with another place, examples: Athens located_in Georgia, Georgia located_in USA code Airport code, examples: ATL, CUU, LAX responsible for A connection of an organization with an event, examples: UN responsible_for Peace Accord ocurred in Connects an event to a place in which it happened, examples: 9/11 occured_in USA classified with Relationship from a scientific publication to a publication classification publication keywords Set of keywords of a publication name sourceId extractorId parentURI attribute_country airport_code attack_type injured fatalities target_type location complexion reward caution sex eye hair remarks scars_and_marks languages build weight height place_of_birth date_of_birth_used address type of financial organization latitude_longitude altitude No Year_pulished Volume Download_link page_numbers URL_link description More information about an event, examples: The event will have minor economic impact in the southern part of the state event date Date of occurrence of an event, examples: 2001-09-11 type of event Type of an event, examples: Suicide, Peace Accord, company bankruptcy extraction method Entities are extracted either in an automated or manual manner extracted by person Person who extracted the entity, examples: Gowtham Sannapareddy, Boanerges Aleman-Meza extraction tool Tool used for extraction, examples: Semagix Fredom extraction date time Keeps the date and time of extraction, examples: 2003-11-13, 12:00 extraction update date time Keeps the date and time of an updated extraction, examples: 2003-11-13, 12:00 curation Examples: yes/no source location Source location, examples: http://lsdis.cs.uga.edu/about/people.html, ftp://.... owner Owner of the data source, examples: http://www.cia.gov, http://lsdis.cs.uga.edu/ boundary boundary example: 130330N/59076W,130370N/59096W, 130324N/59140W,130317N/5890W bounding box bounding box example: 130330N/59076W,130330N/59096W, 130324N/59096W,130324N/59076W geographic description description of the geographic location using identifiers, can include center point latitude/longitude in seconds by using cp= example:FIPS=059, cp=122220N/300327W