On Digitalizing the Geographical Dictionary of Polish Kingdom Published in 1880

Maciej Durzewski , Andrzej Jankowski , Łukasz Szydełko


Printed encyclopedic texts provide us with great quality and organized textual data but make us face several problems. Most of the modern data extractors are indexers that create rather simple databases. Such type of database provides keyword search and simple links between subjects (based on co-occurrences). The most advanced extractors are supported by predefined ontologies which help to build relations between concepts. In this paper we study the problem of digitalizing the Geographical Dictionary of Polish Kingdom published in 1880. We address two kinds of problems: technical problems of converting scanned pages of that dictionary to reliable textual data and theoretical challenges of organizing that data into knowledge. Our solution for organizing data into knowledge is based on defining an appropriate ontology and rules for converting textual data to ontological knowledge. We describe methods of extracting simple information like keywords and bootstrapping it into higher level relations and discuss their possible uses.
Author Maciej Durzewski
Maciej Durzewski,,
, Andrzej Jankowski (FEIT / IN)
Andrzej Jankowski,,
- The Institute of Computer Science
, Łukasz Szydełko
Łukasz Szydełko,,
Publication size in sheets0.6
Book Bembenik Robert, Skonieczny Łukasz, Rybiński Henryk, Kryszkiewicz Marzena, Niezgódka Marek (eds.): Intelligent Tools for Building a Scientific Information Platform: Advanced Architectures and Solutions, Studies in Computational Intelligence, vol. 467, 2013, Heidelberg New York Dordrecht London, Springer-Verlag Berlin Heidelberg , ISBN 978-3-642-35646-9, [978-3-642-35647-6], 548 p., DOI:10.1007/978-3-642-35647-6
Fronf Matter.pdf / 149 KB / No licence information
Keywords in Englishtext mining, search engine, semantic, OCR, ontology, geographical, dictionary
ASJC Classification1702 Artificial Intelligence
URL http://link.springer.com/chapter/10.1007%2F978-3-642-35647-6_5#
Languageen angielski
Score (nominal)5
ScoreMinisterial score = 5.0, 19-05-2020, MonographChapterAuthor
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2013 = 0.54
Citation count*1 (2016-09-06)
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