In recent years, geospatial big data (GBD) has obtained attention across various disciplines,
categorized into big Earth observation data and big human behavior data. Identifying …

Tremendous amounts of data are generated every day by different sources and stored in
heterogeneous databases. Providing an integrated view by fusion of data is essential to …

The discrete representation of resources in geospatial catalogues affects their information
retrieval performance. The performance could be improved by using automatically …

Conflating multiple geospatial data sets into a single dataset is challenging. It requires
resolving spatial and aspatial attribute conflicts between source data sets so the best value …

Semantic web provides information for humans as well as computers to semantically
maintain a large-scale of data and provide a meaningful content of unstructured data. It …

A Spatial Data Supply Chain (SDSC) is a series of processes that convert raw spatial data
(eg road locations) into useable products (eg road networks). Duplicate SDSCs are not …

Implementation of ocean observation sensors are booming in recent years for encouraging
research among coastal areas all over the world. This results in a copious amount of big …

Background Results of scientific experiments and research work, either conducted by
individuals or organizations, are published and shared with scientific community in different …

Semantic Web (SW) provides new opportunities for the study and application of big data,
massive ranges of data sets in varied formats from multiple sources. Related studies focus …

This article describes how geographic information systems (GISs) can enable, enrich and
enhance geospatial applications and services. Accurate calculation of the similarity among …