| Blaz Fortuna|
(Alternative names for this author)
|Co-authors||Abhijit Bhole, Dunja Mladeni, Fortuna C., Kenda K., Marko Grobelnik, Mladenic D., Moraru A., Sipos R., Vucnik M.|
|Authorship||Publications (3), datasets (0), tools (0)|
|Citations||Total (0), average (0), median (0), max (0), min (0)|
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Blaz Fortuna is an author.
PublicationsOnly those publications related to wikis are shown here.
|Title||Keyword(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Towards building a global oracle: A physical mashup using artificial intelligence technology||Artificial intelligence
|ACM International Conference Proceeding Series||English||2012||In this paper, we describe Videk - a physical mashup which uses artificial intelligence technology. We make an analogy between human senses and sensors; and between human brain and artificial intelligence technology respectively. This analogy leads to the concept of Global Oracle. We introduce a mashup system which automatically collects data from sensors. The data is processed and stored by SenseStream while the meta-data is fed into ResearchCyc. SenseStream indexes aggregates, performs clustering and learns rules which then it exports as RuleML. ResearchCyc performs logical inference on the meta-data and transliterates logical sentences. The GUI mashes up sensor data with SenseStream output, ResearchCyc output and other external data sources: GoogleMaps, Geonames, Wikipedia and Panoramio. Copyright||0||0|
|Demo: Historyviz - Visualizing events and relations extracted from wikipedia||Lecture Notes in Computer Science||English||2009||HistoryViz provides a new perspective on a certain kind of textual data, in particular the data available in the Wikipedia, where different entities are described and put in historical perspective. Instead of browsing through pages each describing a certain topic, we can look at the relations between entities and events connected with the selected entities. The presented solution implemented in HistoryViz provides user with a graphical interface allowing viewing events concerning the selected person on a timeline and viewing relations to other entities as a graph that can be dynamically expanded.||0||0|
|Mining Wikipedia and Relating Named Entities over Time||English||2007||0||0|