Organiser: Dr Nicholas Gibbins
Time: 14/05/2007 13:00-14:00
High-impact papers are not necessarily the most cited. Impact measurements using document and/or citation count alone are not adequate for determining impact of papers, authors or groups of less than a hundred authors. Although valid, they remain controversial when used to determine impact of larger groups or journals. Citation and metadata analysis allows richer calculations such as hub/authority, H-Index and others to be performed over large-scale document networks, such that more qualitative impact ratings can be determined. These qualitative ratings can be best applied using an ontology-based data source, allowing more efficient inference than under a traditional RDBMS system, particularly across research sub-disciplines, and allowing easier integration between heterogeneous data sources. These metrics, termed 'Semantic Bibliometrics' or 'Semiometrics', can be applied at a variety of levels of granularity, allowing a compositional framework for impact analysis. This seminar focuses on issues of data preparation and the effectiveness of the semantic approach in dealing with impact calculations over large-scale digital libraries.
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