Optimizing Academic Conference Classification Using Social Tags

Abstract

Abstract-Automatically classifying academic conference into semantic topic promises improved academic search and browsing for users. Social tagging is an increasingly popular way of describing the topic of academic conference. However, no attention has been devoted to academic conference classification by making use of social tags. Motivated by this observation, this paper proposes a method which utilizes social tags as well as the content of academic conference in order to improve automatically identifying academic conference classification. The proposed method applies different automatic classification algorithms to improve classification quality by using social tags. Experimental results show that this method mentioned above performs better than the method which only utilizes the content to classify academic conference with 1% Precision measure score increase and 1.64% F1 measure score increase, which demonstrates the effectiveness of the proposed method.

Towards a Cloud-Based Service for Maintaining and Analyzing Data About Scientific Events

“…Hurtado Martin et al proposed an approach based on user profiles, which takes a scholar's recent publication list and recommends related CfPs using content analysis [3]. Xia et al presented a classification method to filter CfPs by social tagging [10]. Wang et al proposed another approach to classify CfPs by implementing three different methods but focus on comparing the classification methods rather than services to improve scientific communication [9].…”

Harnessing Folksonomies to Produce a Social Classification of Resources

“…Also, they conclude that the more users annotate a URL, the better it is classified. Xia et al [33] studied the usefulness of social tags as a complementary source for improving the classification of academic conferences into topics. Using tagging data gathered from WikiCFP.com, and weighting the tags according to the number of users using them, they compare the classification of conferences by using only the content of the call for papers, and by integrating tagging data along with it.…”

Collaborative Filtering of Call for Papers

“…There are others trying to address this problem by improving CFP retrieval performance. Xia et al [4] proposed the use of social tags in CFP classification to increase the accuracy. Issertial and Tsuji [5] showed that adding enriched ontology into structure data of CFPs will increase the recall in CFP retrieval.…”