Semantically Interoperable Transportation Data Model: Methodology and Application

SG Jang, TJ Kim - 2007 - trid.trb.org
2007trid.trb.org
Sharing transportation data across multiple, distributed, and heterogeneous information
sources is problematic when there is little understanding of the structure and meaning of
varied transportation data. To overcome this situation, this study proposes a conceptual
modeling method using a canonical data model approach based upon standardized
concepts adopted in the ISO 19100 series of International Standards. The purpose of the
paper is to develop a method to achieve unambiguous sharing of concepts in the …
Sharing transportation data across multiple, distributed, and heterogeneous information sources is problematic when there is little understanding of the structure and meaning of varied transportation data. To overcome this situation, this study proposes a conceptual modeling method using a canonical data model approach based upon standardized concepts adopted in the ISO 19100 series of International Standards. The purpose of the paper is to develop a method to achieve unambiguous sharing of concepts in the transportation domain. The paper also illustrates how the proposed framework can be successfully employed in designing application schemas for a particular application of the transportation domain, a multimodal travel guide system (MTGS). The paper presents how application schemas for the MTGS in Unified Modeling Language (UML) can be efficiently and effectively developed both by reuse of the standardized schemas of the ISO 19100 series and by extension of standardized schemas in accordance with the rules of application schemas in ISO 19109. Finally, the paper demonstrates how MTGS UML application schemas can be successfully implemented as platform neutral encodings, ie, ISO 19136–Geography Markup Language (GML). A rigorous semantic modeling methodology starting from consensual domain concepts using the International Standards, as this study proposes, would play an important role in providing a feasible and effective conceptual framework for development of semantic transportation data models.
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