A Model and Framework for Matching Complementary Spatio-Temporal Needs

Dominik Bucher, S. Scheider, Martin Raubal

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Currently, systems that let people search for opportunities to fulfill
their spatio-temporal needs are built according to the conceptual
model of service provider and consumer: After the providers make
their needs publicly available, consumers use a specifically tailored
query engine to find fitting offers. E.g., in carpooling, someone
wants to fill an empty seat and to share costs (and publishes this
offer), while another person wants to travel the same route. This
model prevents the consuming side from making their needs avail-
able to the service providers and makes it hard to generalize, as
query engines require rigid (often domain-specific) properties. Ad-
dressing this problem, we propose a generic model for publishing
and processing complementary spatio-temporal needs. Our model
uses a simulator to assess how well the collaboration between dif-
ferent entities would approximate their goals. To reuse existing
concepts and embed the model into the emerging Semantic Web,
everything is modeled in accordance with Linked Data principles.
Original languageEnglish
Title of host publicationProceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Publication statusPublished - 2017
Event25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2017) -
Duration: 7 Nov 2017 → …

Conference

Conference25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2017)
Period7/11/17 → …

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