Web service sub-chain recommendation leveraging graph searching

Abstract

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. 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 in terms of the initial and ending operations, 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.