Chapter 15: Search computing and the life sciences

Marco Masseroli; Norman W. Paton; Irena Spasić

doi:10.1007/978-3-642-12310-8_15

Chapter 15: Search computing and the life sciences

Marco Masseroli, Norman W. Paton, Irena Spasić

Research output: Chapter in Book/Conference proceeding › Conference contribution

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. © 2010 Springer-Verlag.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)\|Lect. Notes Comput. Sci.
Publisher	Springer Nature
Pages	291-306
Number of pages	15
Volume	5950
ISBN (Print)	3642123090, 9783642123092
DOIs	https://doi.org/10.1007/978-3-642-12310-8_15
Publication status	Published - 2010
Event	1st Workshop on Search Computing Challenges and Directions, SeCo 2009 - Como Duration: 1 Jul 2010 → …

Conference

Conference	1st Workshop on Search Computing Challenges and Directions, SeCo 2009
City	Como
Period	1/07/10 → …

Keywords

Bioinformatics
Data integration
Ranked data
Search computing

Access to Document

10.1007/978-3-642-12310-8_15

Cite this

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title = "Chapter 15: Search computing and the life sciences",

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. {\textcopyright} 2010 Springer-Verlag.",

keywords = "Bioinformatics, Data integration, Ranked data, Search computing",

author = "Marco Masseroli and Paton, {Norman W.} and Irena Spasi{\'c}",

year = "2010",

doi = "10.1007/978-3-642-12310-8_15",

language = "English",

isbn = "3642123090",

volume = "5950",

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booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.",

publisher = "Springer Nature",

address = "United States",

note = "1st Workshop on Search Computing Challenges and Directions, SeCo 2009 ; Conference date: 01-07-2010",

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Masseroli, M, Paton, NW & Spasić, I 2010, Chapter 15: Search computing and the life sciences. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. vol. 5950, Springer Nature, pp. 291-306, 1st Workshop on Search Computing Challenges and Directions, SeCo 2009, Como, 1/07/10. https://doi.org/10.1007/978-3-642-12310-8_15

Chapter 15: Search computing and the life sciences. / Masseroli, Marco; Paton, Norman W.; Spasić, Irena.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 5950 Springer Nature, 2010. p. 291-306.

Research output: Chapter in Book/Conference proceeding › Conference contribution

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AB - 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. © 2010 Springer-Verlag.

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Chapter 15: Search computing and the life sciences

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