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Towards Efficient Indexing of Arbitrary Similarity

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10139516" target="_blank" >RIV/00216208:11320/13:10139516 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.sigmod.org/publications/sigmod-record/1306/pdfs/03.articles.bartos.pdf" target="_blank" >http://www.sigmod.org/publications/sigmod-record/1306/pdfs/03.articles.bartos.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/2503792.2503794" target="_blank" >10.1145/2503792.2503794</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Towards Efficient Indexing of Arbitrary Similarity

  • Original language description

    The popularity of similarity search expanded with the increased interest in multimedia databases, bioinformatics, or social networks, and with the growing number of users trying to find information in huge collections of unstructured data. During the exploration, the users handle database objects in different ways based on the utilized similarity models, ranging from simple to complex models. Efficient indexing techniques for similarity search are required especially for growing databases. In this paper, we study implementation possibilities of the recently announced theoretical framework SIMDEX, the task of which is to algorithmically explore a given similarity space and find possibilities for efficient indexing. Instead of a fixed set of indexing properties, such as metric space axioms, SIMDEX aims to seek for alternative properties that are valid in a particular similarity model (database) and, at the same time, provide efficient indexing. In particular, we propose to implement the

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP202%2F11%2F0968" target="_blank" >GAP202/11/0968: Large-scale Nonmetric Similarity Search in Complex Domains</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    SIGMOD Record

  • ISSN

    0163-5808

  • e-ISSN

  • Volume of the periodical

    42

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    6

  • Pages from-to

    5-10

  • UT code for WoS article

    000321322500001

  • EID of the result in the Scopus database