Search Computing aims at opening the Web to a new class of search applications, by offering enhanced expressive and computational power. The success of Search Computing, as of any technical advance, will be measured by its impact upon the search industry and market, and this in turn will be highly influenced by reactions of Web users and developers. It is too early to anticipate such reactions - as the technology is still "under construction" - but this chapter attempts a first identification of the possible future players in the development of Search Computing applications, by grossly identifying the roles of "data source publishers" and of "application developers", and by discussing how classical advertising-based models may support the new applications. This chapter also describes the high-level design of the prototyping environment that is currently under development and how the design will support the deployment upon high performance architectures. Finally, we describe advertising as the prevalent business model of the search engines industry, and briefly discuss the options for the evolution of such model in the context of Search Computing.
Original languageEnglish
Title of host publicationSearch Computing - Challenges and Directions
Place of PublicationBerlin
PublisherSpringer
Chapter14
Pages268-290
Number of pages23
Volume5950 LNCS
ISBN (Print)3642123090, 9783642123092
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event1st Workshop on Search Computing Challenges and Directions, SeCo 2009 - Como, Italy
Duration: 17 Jun 200919 Jun 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5950 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st Workshop on Search Computing Challenges and Directions, SeCo 2009
CountryItaly
CityComo
Period17/06/0919/06/09

    Research areas

  • Advertising models, Cloud computing, Development process, Search Computing, Software architectures, Software engineering

ID: 45469317