Deriving human activity from geo-located data by ontological and statistical reasoning

Zolzaya Dashdorj, Stanislav Sobolevsky, Sang-Geun Lee, Carlo Ratti

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Every day, billions of geo-referenced data (e.g., mobile phone data records, geo-tagged social media, gps records, etc.) are generated by user activities. Such data provides inspiring insights about human activities and behaviors, the discovery of which is important in a variety of domains such as social and economic development, urban planning, and health prevention. The major challenge in those areas is that interpreting such a big stream of data requires a deep understanding of context where each activity occurs. In this study, we use a geographical information data, OpenStreetMap (OSM) to enrich such context with possible knowledge. We build a combined logical and statistical reasoning model for inferring human activities in qualitative terms in a given context. An extensive validation of the model is performed using separate data-sources in two different cities. The experimental study shows that the model is proven to be effective with a certain accuracy for predicting the context of human activity in mobile phone data records.

Original languageEnglish
Pages (from-to)225-235
Number of pages11
JournalKnowledge-Based Systems
Volume143
DOIs
Publication statusPublished - 2018 Mar 1

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Mobile phones
Urban planning
Health
Economics
Mobile phone

Keywords

  • Human activity recognition
  • Knowledge management
  • Ontology
  • Spatial data

ASJC Scopus subject areas

  • Software
  • Management Information Systems
  • Information Systems and Management
  • Artificial Intelligence

Cite this

Deriving human activity from geo-located data by ontological and statistical reasoning. / Dashdorj, Zolzaya; Sobolevsky, Stanislav; Lee, Sang-Geun; Ratti, Carlo.

In: Knowledge-Based Systems, Vol. 143, 01.03.2018, p. 225-235.

Research output: Contribution to journalArticle

Dashdorj, Zolzaya ; Sobolevsky, Stanislav ; Lee, Sang-Geun ; Ratti, Carlo. / Deriving human activity from geo-located data by ontological and statistical reasoning. In: Knowledge-Based Systems. 2018 ; Vol. 143. pp. 225-235.
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