Construction of A General Academic Search Engine Based on Multi-source and Heterogeneous Data

摘要

For researchers, the retrieval needs on multi-source and heterogeneous academic data are increasingly urgent. However, the existing retrieval systems still have some shortcomings, such as expensive prices, poor integration, loss of information. In this paper, we present a general framework for designing a unified retrieval system, called the multi-source heterogeneous academic literature search engine (Abbr. MH-ALSE). MH-ALSE is constructed into three phases, i.e., information collection, data integration, and engine implementation. Furthermore, the collaborative filtering mechanism is also introduced, for achieving personalized recommendation and early warning service. It is expected that MH-ALSE can provide easy-to-use retrieval functions to help researchers develop novel ideas and improve research efficiency.