|
| << vorige | volgende >> |
Tijdschrift beschrijving
Alle jaargangen van het bijbehorende tijdschrift
Alle afleveringen van het bijbehorende jaargang
Alle artikelen van de bijbehorende aflevering
Details van artikel 38 van 59 gevonden artikelen
| Titel: |
Reality mining on micropost streamsDeductive and inductive reasoning for personalized and location-based recommendations |
| Auteur: |
Balduini, Marco Celino, Irene Dell'Aglio, Daniele Della Valle, Emanuele Huang, Yi Lee, Tony Kim, Seon-Ho Tresp, Volker |
| Verschenen in: |
Semantic web |
| Paginering: | Jaargang 5 (2013) nr. 5 pagina's 341-356 |
| Jaar: |
2013-04-17 |
| Inhoud: |
The rapid growth of personal opinions published in form of microposts, such as those found on Twitter, is the basis of novel emerging social and commercial services. In this paper, we describe BOTTARI, an augmented reality application that permits the personalized and localized recommendation of points of interest (POIs) based on the temporally-weighted opinions of the community. The technological basis of BOTTARI is the highly scalable LarKC platform for the rapid prototyping and development of Semantic Web applications. In particular, BOTTARI exploits LarKC's deductive and inductive stream reasoning. We present an evaluation of BOTTARI based on a three year collection of tweets about 319 restaurants located in the 2 km2 district of Insadong, a popular tourist area of the South Korean city of Seoul. BOTTARI is the winner of the 9th edition of the Semantic Web Challenge, co-located with the 2011 International Semantic Web Conference. BOTTARI is currently field tested in Korea by Saltlux. |
| Uitgever: |
IOS Press |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 38 van 59 gevonden artikelen
| << vorige | volgende >> |