Retrieval of bibliographic records using Apache Lucene

摘要

Purpose - The aim of the research is modeling and implementing a software component for thernretrieval of bibliographic records using the Apache Lucene retrieval engine.rnDesign/methodology/approach - Object-oriented methodology is used for modeling andrnimplementation of the bibliographic record retrieval engine. Modeling is carried out in the CASErntool that supports the unified modeling language (UML 2.0), while the implementation is using the Javarnprogramming language and open source components.rnFindings - The result is a software component for the retrieval of bibliographic records that arernindependent of the bibliographic format used in cataloging. It features great flexibility in terms ofrnconfiguring search types without the need to change the software implementation.rnResearch limitations/implications - One of the constraints of this system relates to the problemrnof searching linking entry fields. UNEVLARC format defines fields used to link the item being catalogedrnto another bibliographic item, so those fields may contain other fields, which can be termed secondaryrnfields. In this proposed solution, secondary fields are treated as all other fields and there is norninformation whether the search term belongs to the secondary or a regular field.rnPractical implications - The proposed solution is integrated into library information systemrnBISIS, version 4. This version of the BISIS system is in use at university, public and special libraries.rnBy introducing this version, system performance as well as flexibility of the indexing process arernimproved and at the same time librarians are able to perform sophisticated and effective retrieval ofrnbibliographic records.rnOriginality/value - The contribution of this work is in the design of a customizable record retrievalrncomponent. It is configured by means of an XML document for specifying mapping rules betweenrnsubfields of the bibliographic record format and search types. By using XML it is possible to add newrnmapping rules without additional programming. In addition, great attention has been paid to thernindexing of subfields that contain punctuation marks having special semantic meanings for librariansrnand the transliteration between Cyrillic and Latin scripts. Also, originality of this work lies in using thernApache Lucene search engine, which facilitates building highly flexible and efficient retrieval systems.