Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Chapter 15: Search Computing and the Life Sciences

Masseroli, Marco, Paton, Norman W. and Spasic, Irena 2010. Chapter 15: Search Computing and the Life Sciences. Lecture Notes in Computer Science 5950 , pp. 291-306. 10.1007/978-3-642-12310-8_15

Full text not available from this repository.

Abstract

Search Computing has been proposed to support the integration of the results of search engines with other data and computational resources. A key feature of the resulting integration platform is direct support for multi-domain ordered data, reflecting the fact that search engines produce ranked outputs, which should be taken into account when the results of several requests are combined. In the life sciences, there are many different types of ranked data. For example, ranked data may represent many different phenomena, including physical ordering within a genome, algorithmically assigned scores that represent levels of sequence similarity, and experimentally measured values such as expression levels. This chapter explores the extent to which the search computing functionalities designed for use with search engine results may be applicable for different forms of ranked data that are encountered when carrying out data integration in the life sciences. This is done by classifying different types of ranked data in the life sciences, providing examples of different types of ranking and ranking integration needs in the life sciences, identifying issues in the integration of such ranked data, and discussing techniques for drawing conclusions from diverse rankings.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: search computing - bioinformatics - data integration - ranked data
Additional Information: Book title: Search computing challenges and directions (ISBN 9783642123092)
Publisher: Springer Verlag
ISSN: 0302-9743
Last Modified: 04 Jun 2017 02:56
URI: http://orca.cf.ac.uk/id/eprint/14260

Citation Data

Cited 6 times in Google Scholar. View in Google Scholar

Cited 5 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item