Getting Indexed by Bibliographic Databases in the Area of Computer Science

Every author and publisher is interested in adding their publications to the widely used bibliographic databases freely accessible in the world wide web: This ensures the visibility of their publications and hence of the published research. However, the inclusion requirements of publications in the bibliographic databases are heterogeneous even on the technical side. This survey paper aims in shedding light on the various data formats, protocols and technical requirements of getting indexed by widely used bibliographic databases in the area of computer science and provides hints for maximal database inclusion. Furthermore, we point out the possibilities to utilize the data of bibliographic databases, and describes some personal and institutional research repository systems with special regard to the support of inclusion in bibliographic databases

Augmenting Dublin Core digital library metadata with Dewey Decimal Classification

Purpose – The purpose of this paper is to describe a new approach to a well-known problem for digital libraries, how to search across multiple unrelated libraries with a single query. Design/methodology/approach – The approach involves creating new Dewey Decimal Classification terms and numbers from existing Dublin Core records. In total, 263,550 records were harvested from three digital libraries. Weighted key terms were extracted from the title, description and subject fields of each record. Ranked DDC classes were automatically generated from these key terms by considering DDC hierarchies via a series of filtering and aggregation stages. A mean reciprocal ranking evaluation compared a sample of 49 generated classes against DDC classes created by a trained librarian for the same records. Findings – The best results combined weighted key terms from the title, description and subject fields. Performance declines with increased specificity of DDC level. The results compare favorably with similar studies. Research limitations/implications – The metadata harvest required manual intervention and the evaluation was resource intensive. Future research will look at evaluation methodologies that take account of issues of consistency and ecological validity. Practical implications – The method does not require training data and is easily scalable. The pipeline can be customized for individual use cases, for example, recall or precision enhancing. Social implications – The approach can provide centralized access to information from multiple domains currently provided by individual digital libraries. Originality/value – The approach addresses metadata normalization in the context of web resources. The automatic classification approach accounts for matches within hierarchies, aggregating lower level matches to broader parents and thus approximates the practices of a human cataloger. </jats:sec

Hierarchical Classification of OAI Metadata Using the DDC Taxonomy

Waltinger U, Mehler A, Lösch M, Horstmann W. Hierarchical Classification of OAI Metadata Using the DDC Taxonomy. In: Bernardi R, Chambers S, Gottfried B, Segond F, Zaihrayeu I, eds. Advanced Language Technologies for Digital Libraries. Lecture Notes in Computer Science. Vol 6699. Berlin / Heidelberg: Springer; 2011: 29-40.In the area of digital library services, the access to subject-specific metadata of scholarly publications is of utmost interest. One of the most prevalent approaches for metadata exchange is the XML-based Open Archive Initiative (OAI) Protocol for Metadata Harvesting (OAI-PMH). However, due to its loose requirements regarding metadata content there is no strict standard for consistent subject indexing specified, which is furthermore needed in the digital library domain. This contribution addresses the problem of automatic enhancement of OAI metadata by means of the most widely used universal classification schemes in libraries—the Dewey Decimal Classification (DDC). To be more specific, we automatically classify scientific documents according to the DDC taxonomy within three levels using a machine learning-based classifier that relies solely on OAI metadata records as the document representation. The results show an asymmetric distribution of documents across the hierarchical structure of the DDC taxonomy and issues of data sparseness. However, the performance of the classifier shows promising results on all three levels of the DDC

Sjednocování věcného popisu agregovaných záznamů v repozitáři NUŠL: Unification of Subject Description of Aggregated Records in National Repository of Grey Literature

Diplomová práce se zabývá metodami sjednocení věcného popisu v záznamech agregovaných z různých zdrojů v prostředí digitálního repozitáře na příkladu Národního úložiště šedé literatury (NUŠL). Po představení zahraničních zkušeností ze systémů BASE a LASSO je popsána i současná praxe v repozitáři NUŠL, v němž je k jednotnému popisu pomocí Polytematického strukturovaného hesláře (PSH) využívána automatická indexace. V rámci práce byly na PSH namapovány skupiny Konspektu a tezaurus MeSH. Tato mapování byla aplikována na záznamy přebírané do systému NUŠL z Národní lékařské knihovny a v průběhu navrženého experimentu byl srovnán výsledný věcný popis tvořený hesly PSH přiřazených na základě vytvořených mapování a věcný popis vytvořený automatickou indexací. Kromě toho byla řešena i možnost mapování autorských klíčových slov popisujících vysokoškolské kvalifikační práce v záznamech pocházejících z repozitářů spolupracujících vysokých škol.The diploma thesis focuses on subject description unification methods in records aggregated from different sources in digital repositories, using the example of the National Repository of Grey Literature (NRGL). After presenting experiences with systems BASE and LASSO abroad, I describe the current situation in NRGL, where the automatic indexing is used to assign each record a unified subject heading from the Polythematic Structured Subject Heading System (PSSHS). The thesis then presents how the MeSH thesaurus and Conspectus categorization scheme were mapped to PSSHS. These mappings were then applied to records from the National Medical Library. The aim of the experiment was to compare the subject description consisting of PSSHS subject headings created by automatic indexing, and the subject description created by mapping. In addition to that I explore the possibilities of mapping author keywords in records of academic theses

Study on open science: The general state of the play in Open Science principles and practices at European life sciences institutes

Nowadays, open science is a hot topic on all levels and also is one of the priorities of the European Research Area. Components that are commonly associated with open science are open access, open data, open methodology, open source, open peer review, open science policies and citizen science. Open science may a great potential to connect and influence the practices of researchers, funding institutions and the public. In this paper, we evaluate the level of openness based on public surveys at four European life sciences institute