Search computing: Integrating ranked data in the life sciences

Marco Masseroli, Norman W. Paton, Giorgio Ghisalberti

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Search computing has been proposed to support the integration of the results of search engines with other data and computational resources. In essence, in search computing, search services provide ranked answers to requests, and mechanisms are provided for integrating results from multiple searches. This paper presents a case study of the use of a domain independent search computing platform for describing well known bioinformatics resources as search services, and for carrying out integrated analyses over the resulting services. In particular, this makes explicit how ranked data from sequence comparisons and from gene expression results can be integrated in a way that takes account of the ranked results from the different types of data. In so doing, the paper illustrates the use of ranking as a first class citizen for data integration in the life sciences, and identifies open issues for further investigation. © 2010 Springer-Verlag.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.
    PublisherSpringer Nature
    Pages207-214
    Number of pages7
    Volume6254
    ISBN (Print)3642151191, 9783642151194
    DOIs
    Publication statusPublished - 2010
    Event7th International Conference on Data Integration in the Life Sciences, DILS 2010 - Gothenburg
    Duration: 1 Jul 2010 → …

    Conference

    Conference7th International Conference on Data Integration in the Life Sciences, DILS 2010
    CityGothenburg
    Period1/07/10 → …

    Keywords

    • bioinformatics
    • data integration
    • ranked data
    • search

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