Abstract

With the rapid development of SOA and SaaS technology, service-oriented software development is gradually becoming one of the mainstream trends of software development on the Internet. Under this trend, the scale of service resources on the network is increasingly grow. Moreover, in the cloud computing and big data environment, service developers of the large-scale service resources may come from different regions, having different professional knowledge backgrounds and different skills. Facing service developers with different regions, different development experiences and abilities, how to recommend suitable service developers for personalized service development requirements is still an urgent problem to be solved. Therefore, this paper proposes a construction method of heterogeneous information network for service developers, which fully considers the rich semantic information contained in different paths of the heterogeneous information network, and analyzes the entities and connection types among services and developers, and then mines relationships among them to extract network schema, consequently to build the heterogeneous information network of service developers. Finally, experimental results on real data demonstrate the building process of the heterogeneous information network for service developers, and the concrete application of heterogeneous information network is shown through the case analysis. The results show that the approach proposed in this paper can identify the implicit relationships among services and developers by making full use of the characteristics of different types of nodes and the interaction information among nodes, consequently provide support for on-demand recommendations of service developers based on similarity measurement.

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