Qing Guo^1,2, ¹Nanyang Technological University, Singapore and ²SAP Innovation Center Network, Singapore

Literature review is part of scientific research. Online references management tools help researchers in finding relevant literature and documents. Finding relevant conferences is the key step to understand the research field. Researchers usually rely on the conference names to find out whether they are related. However, the conference name rarely reflects the diverse topics it covers. For instance, for the two conferences, “International Conference on Data Mining and Applications” and “Special Interest Group on Information Retrieval” which represent similar research topics and research areas, but the names fail to capture the similarity. One possible method to compute the similarity between all the papers in the two conferences but it's time-consuming. Instead of computing the similarity, this work builds a search engine based on Lucene and find similar conferences given a query conference based on the index. A BFS-based algorithm is proposed to address this problem and experiments on DBLP dataset shows the proposed approach can generate comparable results with the similarity-based approach.

Literature Review, Information Retrieval, Breadth-First-Search