Please use this identifier to cite or link to this item:
https://ruomo.lib.uom.gr/handle/7000/882
Title: | Activity Ontologies for Intelligent Calendar Applications |
Authors: | Agnantis, Konstantinos Refanidis, Ioannis |
Editors: | Bădică, Costin Manolopoulos, Yannis Coşulschi, Mirel Eleftherakis, George Leon, Florin |
Type: | Conference Paper |
Subjects: | FRASCATI::Natural sciences::Computer and information sciences |
Keywords: | Ontology Semantic Web Activities Events Modeling Intelligent Calendars |
Issue Date: | Sep-2015 |
Publisher: | ACM |
First Page: | 1 |
Last Page: | 8 |
Volume Title: | Proceedings of the 7th Balkan Conference on Informatics (BCI-2105), Craiova, Romania, September 2015 |
Abstract: | Intelligent Calendar Applications (ICA) have recently emerged as a very promising target field for Artificial Intelligence (AI) techniques, since calendar applications are used daily by millions of people world-wide. ICAs built on traditional electronic calendars, by empowering them with efficient scheduling engines, being able to schedule and reschedule a user’s events within its calendar. However, in order to fully exploit the dynamics of an ICA, the user has to describe his events with much more detail than with a traditional electronic calendar, in order for the scheduler to have all the necessary information, that is, attribute values, constraints and preferences, to schedule the events. Existing XML based formats to describe events, such as iCalendar, do not provide enough context for the information needed in order to describe a rich event, to be used by an ICA. In this paper we present three ontologies that have been designed to be used by modern ICAs, in order to exchange information about events between ICAs and event providers. The ontologies have been designed in order to describe the event, its temporal aspects, as well as the user’s constraints and preferences. |
URI: | https://doi.org/10.1145/2801081.2801109 https://ruomo.lib.uom.gr/handle/7000/882 |
Electronic ISBN: | 978-1-4503-3335-1 |
Other Identifiers: | 10.1145/2801081.2801109 |
Appears in Collections: | Department of Applied Informatics |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Ontologies_for_ICAs_bci - preprint.pdf | preprint | 224,77 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.