Magnus Pfeffer

Interactive thesaurus assessment for automatic document annotation

The use of thesaurus-based indexing is a common approach for increasing the performance of document retrieval. With the growing amount of documents available, manual indexing is not a feasible option. Statistical methods for automated document indexing are an attractive alternative. We argue that the quality of the thesaurus used as a basis for indexing in regard to its ability to adequately cover the contents to be indexed is of crucial importance inautomatic indexing because there is no human in the loop that can spot and avoid indexing errors. We propose a method for thesaurus evaluation that is based on a combination of statistical measures and appropriate visualization techniques that supports the detection of potential problems in a thesaurus. We describe this method and show its application in the context of two automatic indexing tasks. The examples show that the methods indeed eases the detection and correction of errors leading to a better indexing result. Please refer to http://www.kaiec.org for high resolution media of all figures used in this paper, as well as an animated presentation of the interactive tool.

Using Clustering Across Union Catalogues to Enrich Entries with Indexing Information

The federal system in Germany has created a segmented library landscape. Instead of a central entity responsible for cataloguing and indexing, regional library unions share the workload cooperatively among their members. One result of this approach is limited sharing of cataloguing and indexing information across union catalogues as well as heterogeneous indexing of items with almost equivalent content: different editions of the same work. In this paper, a method for clustering entries in library catalogues is proposed that can be used to reduce this heterogeneity as well as share indexing information across catalogue boundaries. In two experiments, the method is applied to several union catalogues and the results show that a surprisingly large number of previously not indexed entries can be enriched with indexing information. The quality of the indexing has been positively evaluated by human professionals and the results have already been imported into the production catalogues of two library unions.

Assessing thesaurus-based annotations for semantic search applications

Statistical methods for automated document indexing are becoming an alternative to the manual assignment of keywords. We argue that the quality of the thesaurus used as a basis for indexing in regard to its ability to adequately cover the contents to be indexed and as a basis for the specific indexing method used is of crucial importance in automatic indexing. We present an interactive tool for thesaurus evaluation that is based on a combination of statistical measures and appropriate visualisation techniques that supports the detection of potential problems in a thesaurus. We describe the methods used and show that the tool supports the detection and correction of errors, leading to a better indexing result.

Visual Analysis of Classification Systems and Library Collections

In this demonstration we present a visual analysis approach that addresses both developers and users of hierarchical classification systems. The approach supports an intuitive understanding of the structure and current use in relation to a specific collection. We will also demonstrate its application for the development and management of library collections.

Does It Fit? KOS Evaluation Using the ICE-Map Visualization

The ICE-Map Visualization was developed to graphically analyze the distribution of indexing results within a given Knowledge Organization System (KOS) hierarchy and allows the user to explore the document sets and the KOSs at the same time. In this paper, we demonstrate the use of the ICE-Map Visualization in combination with a simple automatic indexer to visualize the semantic overlap between a KOS and a set of documents.

An application to support reclassification of large libraries

In this paper, we describe a software application that was developed and is successfully applied at the Mannheim University Library to manually reclassify about 1 million books in a very efficient manner by supporting various different working strategys and by using information from several sources.

Mehr aus der Schlagwortnormdatei herausholen - Implementierung einer geographischen Facette in den Online-Katalogen der UB Heidelberg und der UB Mannheim

Heutige Bibliothekskataloge werten nur einen Bruchteil der in den Schlagwortnormsatzen abgelegten Informationen aus, obwohl die Recherche dadurch signifikant verbessert werden konnte. So konnen die ISO-Landercodes, die nicht nur bei Geographika, sondern z.B. auch bei Personen erfasst werden, als Basis fur eine Einschrankung nach dem geographischen Raum dienen. Ein erster Ansatz zur Einbeziehung dieser Landercodes in die Recherche stellt die Einfuhrung einer geographischen Facette dar, wie sie in den auf Suchmaschinentechnologie basierenden Katalogen der UB Heidelberg und der UB Mannheim realisiert wurde.

Erschließung. Präsentation von E-Books mit Primo

Die Autoren stellen die Moglichkeiten von Primo dar, Metadaten von Anbietern mit heterogenen Formaten zu normalisieren und in Primo durchsuchbar zum machen.