Abstract

This paper presents a study of a strategy for automated cataloging within an OPAC or for online bibliographic catalogs generally. The aim of the analysis is to offer a set of results, while searching in library catalogs, that goes further than the expected one-to-one term correspondence. The goal is to understand how ontological structures can affect query search results. This analysis can also be applied to search functions other than in the library context, but in this case, cataloging relies on predefined rules and noncontrolled dictionary terms, which means that the results are meaningful in terms of knowledge organization. The approach was tested on an Edisco database, and we measured the system’s ability to detect whether a new incoming record belonged to a specific set of textbooks.

Highlights

  • Libraries are increasingly transitioning from manual retrieval systems such as traditional card catalogs to the use of online public access catalogs (OPACs) as information retrieval systems, which are characterized by short bibliographic records of the books, journals, and audio–visual materials available in a particular library [1]

  • We have the ability to understand the text and abstraction. It is not so simple for a machine, and for a library catalog (OPAC), to understand how house and apartment/flat are used as variants of one another

  • They were novels; Step 3: Evaluating the indexing, i.e., the field of the Dewey Decimal Classification (DDC), of all the volumes returned for the author Veladiano, we noticed that 75% of the items present in the set cannot be considered textbooks; they are storytelling

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Summary

Introduction

Libraries are increasingly transitioning from manual retrieval systems such as traditional card catalogs to the use of online public access catalogs (OPACs) as information retrieval systems, which are characterized by short bibliographic records of the books, journals, and audio–visual materials available in a particular library [1]. We have the ability to understand the text and abstraction It is not so simple for a machine, and for a library catalog (OPAC), to understand how house and apartment/flat are used as variants of one another. Some even recently have been provided by Common Language Resources and Technology Infrastructure (CLARIN) November 2021), the Dewey Decimal Classification (DDC) The aim of this work is to understand whether it is possible to identify a strategy to automate the classification operations, allowing decisions about the inclusion or exclusion of a book, in a given category, based on a few descriptive elements. This work focuses on the content of the Edisco catalog, an electronic database that aims to register the books for school and education published in Italy between 1800 and 1900. The fields dedicated to the subjects do not follow the Italian Cataloging Rules, especially those related to the New Subject Heading System, which includes fields that allow you to organize cataloging records taxonomically

Related Work
Understanding the Bibliographic Elements
Integration of External Data
Defining the Ideal Classifier
Semantic Analysis
Findings
Conclusions
Full Text
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