An academic search and analysis prototype for specific domain

Abstract

There exist several powerful and popular academic search engines, such as Microsoft Academic Search, Google Scholar and CiteSeerX, etc. However, query answering is now being required by users in addition to existed keyword and semantic search. Academic search and analysis is based on techniques of keyword and semantic search, and implements part of the query answering functions. It can provide but not limited to the following services: ranking researchers, mining university and company relationships, finding research groups in an affiliation, evaluating importance of research communities, recommending similar researchers, and so on. This paper introduces an academic search and analysis prototype All4One for specific domains of information science, computer science and telecommunication science. It is focused on solving the two major difficulties of affiliation name and researcher name disambiguation, as well as domain specific large scale ontology construction. © 2012 Springer-Verlag Berlin Heidelberg.