2014/07/27 by Zeljko Carevic, Philipp Mayr, Carevic, Zeljko +1
Computer Science · #Advanced Text Analysis Techniques #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Information Retrieval (cs.IR) #Semantic Web and Ontologies #Web Data Mining and Analysis #cs.DL #cs.HC #cs.IR
paper · pdf · doi:10.48550/arxiv.1407.7276
3 pages, paper accepted for the 13th European Networked Knowledge Organization Systems (NKOS) Workshop
arxiv created 2014/07/27 · openalex publication_date 2014/07/27 · arxiv updated 2014/07/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In digital libraries recommendations can be valuable for researchers, e.g. recommending related literature to a given context. Typically, in a scientific context the simple presentation of related content is not sufficient. Often the users demand a more detailed view on the connection of a document and its specific recommendations. The aim of pennants introduced by Howard White (2007) is to provide the user with a graph showing the relatedness / distance between a given document and related documents. Co-citation but also co-occurrence analysis are established methods for finding related documents to a seed. A seed could be for instance an author, a keyword, or a publication. In this paper we introduce a recommender system in the digital library sowiport using pennant diagrams which can be created from co-citation and/or co-occurrence analysis. The presentation at the NKOS workshop will present demos of pennants in sowiport and will elaborate on practical questions in visualizing pennants and evaluating the utility of pennants for search.