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Implementation and Development of Internal Search Engine for Slovenian Police

Primož Skale (2012) Implementation and Development of Internal Search Engine for Slovenian Police. MSc thesis.

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    The amount of information that modern society receives and processes is, simply said, enormous. Individuals, groups and organizations are faced with the daily overload of information from which they want to extract only the useful and quality information. On the World Wide Web are available many powerful and widely used Web search engines that - at least for the Internet - perform their work well. The data is not only stored on the Internet, but different organizations (banks, insurance companies, government institutions, etc.) have their own private data warehouses on which employees perform many daily queries. The question is whether such queries return quality information in a secure manner? To this end, some software development companies (IBM, Microsoft, etc..) are offering paid solutions that prepare and index this information for fast and efficient searching. Organizations are faced with problems as how to prevent access by unauthorized persons and to ensure a high quality of the returned information. At police we have developed our own internal search engine that is based on two freely available, open source solutions (Apache Lucene and Apache Solr) which already contain the functionality of modern search engines. For the primary source of data we took IBM Lotus Notes databases. We have successfully implemented the authentication of users and the provision of security policy and access to search data. This Master Thesis presents a description of the systems for information retrieval in direct connection with solutions Apache Lucene and Apache Solr, and the development and implementation of an internal search engine into production for use in Police.

    Item Type: Thesis (MSc thesis)
    Keywords: information retrieval systems, search engines, indexing, Apache Solr, Apache Lucene, vector-space model, development of enterprise search engine
    Number of Pages: 86
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    prof. dr. Tomaž Pisanski1102Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=9498452)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 1902
    Date Deposited: 19 Oct 2012 15:50
    Last Modified: 14 Nov 2012 10:37
    URI: http://eprints.fri.uni-lj.si/id/eprint/1902

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