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| //Abstract//: Spatio-temporal data is used to represent dynamic spatial phenomena. | //Abstract//: Spatio-temporal data is used to represent dynamic spatial phenomena. | ||
| Some examples are physical processes like temperature and volcano eruption, moving objects | Some examples are physical processes like temperature and volcano eruption, moving objects | ||
| - | like animal tracking and iceberg movement as well as evolving objects like oil spill evolution | + | like animal and iceberg movement tracking and as well as evolving objects like oil spill evolution |
| on the ocean. This spatio-temporal data is generated by different technologies, such as fixed | on the ocean. This spatio-temporal data is generated by different technologies, such as fixed | ||
| and mobile geosensors, GPS and Earth observation satellites or radio-frequency identification | and mobile geosensors, GPS and Earth observation satellites or radio-frequency identification | ||
| - | (RFID) and can be distributed in different data sources. In order to analyse this kind of data | + | (RFID) and can are stored as distributed data sources. In order to analyze this kind of data |
| specific operations are necessary, for instance, extraction of trajectories, calculation of | specific operations are necessary, for instance, extraction of trajectories, calculation of | ||
| the variation of distance between two moving objects over time and extraction of time series of | the variation of distance between two moving objects over time and extraction of time series of | ||
| a specific location or area. | a specific location or area. | ||
| \\ | \\ | ||
| - | In this context, service oriented architecture is a good option to create interoperable | + | In this context, a service oriented architecture is a good option to create a framework to handle the |
| - | frameworks in order to handle distributed spatio-temporal data sources. Therefore, this work | + | distributed spatio-temporal data sources. The leading organization devote to propose specifications |
| - | aims to evaluate if and how existing web service specifications, such as Sensor Observation | + | for interoperable geo service standards is the Open GeoSpatial Consortium (OGC). Currently, the OGC has |
| - | Service (SOS), Web Feature Service (WFS), Web Coverage Service (WCS), Web Processing Service (WPS), | + | defined dozens of abstract and implementation specifications. Several of them deal with spatio-temporal |
| + | data, but is there something missing? | ||
| + | With this motivation, this work aims to evaluate if and how existing web service specifications, such as | ||
| + | Sensor Observation Service (SOS), Web Feature Service (WFS), Web Coverage Service (WCS), Web Processing Service (WPS), | ||
| Open Location Service (OpenLS) and Sensor Planning Service (SPS), deal with spatio-temporal | Open Location Service (OpenLS) and Sensor Planning Service (SPS), deal with spatio-temporal | ||
| - | information. The main goal is to assess them by considering the following aspects: | + | information. The main goal is to assess them by considering the aspects the supported spatio-temporal data and operations, usability and compliance of existing implementations. |
| - | supported spatio-temporal data and operations, usability and compliance of existing | + | |
| - | implementations. | + | |
