Geospatial Web Service Sub-Chain Ranking And Recommendation

In recent years, the information technology and resources are in explosive growth. Thanks to the spatial attributes and the multi-scale, multi-type and multi-tense geospatial information, researchers get to find solutions of the problems in land, people and environment. In addition, we witness the advance of geospatial cyber-infrastructure. Especially, with the rapid development of geospatial information acquisition techniques, the huge amount of aerial and satellite imagery has been collected, and is widely available on the Internet for supporting the analysis in many domains including emergency response(i.e., earthquake).Nowadays an increasing number of Open Geospatial Consortium Web services(OWSs) is built and being available on the Web for the accessibility and processing of geospatial information. Typically, the specific requirement specified by a certain user can be satisfied by a chain of OWSs. Besides, many of the users are not domain experts. It means that users cannot express their requirement explicitly. In this setting, retrieving and recommending sub-chains of possible service invocations is critical. Leveraging the semantic similarity between the name and text description of parameters and operations, the degree that represents the invocation possibility between operations in OWSs is calculated. Thereafter, the service network model is constructed that captures the possible invocations between operations. Given a user's requirement represented, possible sub-chains of operations are retrieved, ranked and recommended. Based on which the user can select the most appropriate sub-chain with respect to her specific requirement.