Identifying References to Datasets in Publications

Autor:	Katarina Boland, Dominique Ritze, Kai Eckert, Brigitte Mathiak
Rok vydání:	2012
Předmět:	Identification (information) Information extraction Information retrieval Computer science Integrated information system Information system Bootstrapping (linguistics) Induction method Digital library computer.software_genre computer Variety (cybernetics)
Zdroj:	Theory and Practice of Digital Libraries ISBN: 9783642332890 TPDL
DOI:	10.1007/978-3-642-33290-6_17
Popis:	Research data and publications are usually stored in separate and structurally distinct information systems. Often, links between these resources are not explicitly available which complicates the search for previous research. In this paper, we propose a pattern induction method for the detection of study references in full texts. Since these references are not specified in a standardized way and may occur inside a variety of different contexts --- i.e., captions, footnotes, or continuous text --- our algorithm is required to induce very flexible patterns. To overcome the sparse distribution of training instances, we induce patterns iteratively using a bootstrapping approach. We show that our method achieves promising results for the automatic identification of data references and is a first step towards building an integrated information system.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::31a9d3b9d03c1280167d3a7130b19060 https://doi.org/10.1007/978-3-642-33290-6_17 Zobrazit plný text záznamu