%0 Conference Paper %1 Aasman09AAAISS %A Aasman, Jans %B Intelligent Event Processing, Papers from the 2009 AAAI Spring Symposium %C Menlo Park, CA %D 2009 %E Stojanovic, Nenad %E Abecker, Andreas %E Etzion, Opher %E Paschke, Adrian %I AAAI Press %K 01801 aaai paper ai semantic web temporal spatial location knowledge processing ontology rdf retrieval zzz.sw %N SS-09-05 %P 1--5 %T Event Processing using an RDF Database %U http://www.aaai.org/Library/Symposia/Spring/2009/ss09-05-001.php %X This paper is about a new type of event database that enables efficient reasoning about things, people, companies, relationships between people and companies, and about places and events. The event database is built on top of a scalable distributed RDF triple store that can handle literally billions of events. Like objects, events have at least one actor, but usually more, a start-time and possibly an end-time, a place where the event happened, and the type of the event. An event can have many additional properties and annotations. On top of this event database we implemented libraries for RDFS++ logic reasoning, for geospatial and temporal capabilities, and an extensive social network analysis package. This paper focuses on a query framework that makes it easy to combine all of the aforementioned capabilities in a user friendly query language.

@inproceedings{Aasman09AAAISS, abstract = {This paper is about a new type of event database that enables efficient reasoning about things, people, companies, relationships between people and companies, and about places and events. The event database is built on top of a scalable distributed RDF triple store that can handle literally billions of events. Like objects, events have at least one actor, but usually more, a start-time and possibly an end-time, a place where the event happened, and the type of the event. An event can have many additional properties and annotations. On top of this event database we implemented libraries for RDFS++ logic reasoning, for geospatial and temporal capabilities, and an extensive social network analysis package. This paper focuses on a query framework that makes it easy to combine all of the aforementioned capabilities in a user friendly query language.}, added-at = {2012-05-30T10:41:56.000+0200}, address = {Menlo Park, CA}, author = {Aasman, Jans}, biburl = {https://www.bibsonomy.org/bibtex/24a2f096179b11d4024b5c31036df5ea2/flint63}, booktitle = {Intelligent Event Processing, Papers from the 2009 AAAI Spring Symposium}, editor = {Stojanovic, Nenad and Abecker, Andreas and Etzion, Opher and Paschke, Adrian}, file = {AAAI Digital Library:2009/Aasman09AAAISS.pdf:PDF}, groups = {public}, interhash = {6ef722abb08d4ef6a8086843ee2ef2c1}, intrahash = {357ad0a87d72a688dc231b593b596f7f}, keywords = {01801 aaai paper ai semantic web temporal spatial location knowledge processing ontology rdf retrieval zzz.sw}, number = {SS-09-05}, pages = {1--5}, publisher = {AAAI Press}, series = {Technical Report}, timestamp = {2018-04-18T16:00:13.000+0200}, title = {Event Processing using an {RDF} Database}, url = {http://www.aaai.org/Library/Symposia/Spring/2009/ss09-05-001.php}, username = {flint63}, year = 2009 }