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This paper proposes an architecture and assignment management model of aconference management system that performs a precise and accurate automaticassignment of reviewers to papers. The system relies on taxonomy of keywords todescribe papers and reviewers' competences. The implied hierarchical structureof the taxonomy provides important additional information - the semanticrelationships between the separate keywords. It allows similarity measures totake into account not only the number of exactly matching keywords between apaper and a reviewer, but in case of non-matching ones to calculate howsemantically close they are. Reviewers are allowed to bid on the papers theywould like to (or not like to) review and to explicitly state conflicts ofinterest (CoI) with papers. An automatic CoI detection is checking foradditional conflicts based on institutional affiliation, co-authorship (withinthe local database) and previous co-authorship in the past (within the majorbibliographic indexes and digital libraries). The algorithm for automaticassignment takes into account all - selected keywords, reviewers' bids andconflicts of interest and tries to find the most accurate assignment whilemaintaining load balancing among reviewers.

Architecture of a Conference Management System Providing Advanced Paper Assignment Features