Generating descriptions that summarize geospatial and temporal data

Molina, Martin and Stent, Amanda (2009). Generating descriptions that summarize geospatial and temporal data. In: "21th International Conference on Tools with Artificial Intelligence (ICTAI 2009)", 2009, Newark USA.

Description

Title: Generating descriptions that summarize geospatial and temporal data
Author/s:
  • Molina, Martin
  • Stent, Amanda
Item Type: Presentation at Congress or Conference (Article)
Event Title: 21th International Conference on Tools with Artificial Intelligence (ICTAI 2009)
Event Dates: 2009
Event Location: Newark USA
Title of Book: 21th International Conference on Tools with Artificial Intelligence
Date: 2009
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: None

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Abstract

Effective data summarization methods that use AI techniques can help humans understand large sets of data. In this paper, we describe a knowledge-based method for automatically generating summaries of geospatial and temporal data, i.e. data with geographical and temporal references. The method is useful for summarizing data streams, such as GPS traces and traffic information, that are becoming more prevalent with the increasing use of sensors in computing devices. The method presented here is an initial architecture for our ongoing research in this domain. In this paper we describe the data representations we have designed for our method, our implementations of components to perform data abstraction and natural language generation. We also discuss evaluation results that show the ability of our method to generate certain types of geospatial and temporal descriptions.

More information

Item ID: 30613
DC Identifier: http://oa.upm.es/30613/
OAI Identifier: oai:oa.upm.es:30613
Deposited by: Martin Molina
Deposited on: 31 Jul 2014 06:35
Last Modified: 22 Apr 2016 00:53
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