Integration of Multi-Source Spatial Datasets Via Web Services Semi-Automatically and Ontology Based

This paper focuses on integration of multi-source datasets which often occur in spatial planning process, land administration and management, management of resources and site selection in Iran. In many cases in Iran; land records are available as textual data (definition of parcels in title deeds), vector datasets, aerial photos and satellite images in different forms. The problem is that there isn’t a template and framework for integration of datasets from different sources. Poor interoperability among organizations, data sharing and data exchanging becomes complicated, if one does not have a complete or proper understanding of how text in a land related document relates to (spatial) reality or how solve the incompatibility of different datasets. Using Web services as a bridge between end users and spatia l data providers, is a prudently and judiciously way for spatial data integration, that helps in saving both time and costs. Accordingly this paper, describes two scenarios where textual data are available which contain at least some spatial reference, which can be used to link to other vector datasets. The process through which integration of text and vector dataset is made possible is through the use of ontology. As the result of this research, semi automatic integration of textual datasets and other spatial datasets via Web services helps the people and decision makers in their house or office have the capability of integrating textual data and any other datasets from different sources. Some recommendations are presented for other researches.