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|Abstract=Semantically rich descriptions of web services enable automatic composition and matchmaking. End users as well as providers compose web services according to their needs. Since in general, there can be more than one possibilities (combinations of web services) to achieve a certain goal, a user has to decide which of the alternatives suits him the best. This leads to the requirement that the combinations of web services must be comparable. This can be achieved by aggregating web service attributes. Since the ranking of web service combinations depends on user's needs, capabilities and willingness for ivestment of resources, considering user preferences is important while calculating the rank of a web service composition. We show, how user preferences as well as aggregation information can be modeled in a formal way and how web service combinations can be ranked automatically based on this information. | |Abstract=Semantically rich descriptions of web services enable automatic composition and matchmaking. End users as well as providers compose web services according to their needs. Since in general, there can be more than one possibilities (combinations of web services) to achieve a certain goal, a user has to decide which of the alternatives suits him the best. This leads to the requirement that the combinations of web services must be comparable. This can be achieved by aggregating web service attributes. Since the ranking of web service combinations depends on user's needs, capabilities and willingness for ivestment of resources, considering user preferences is important while calculating the rank of a web service composition. We show, how user preferences as well as aggregation information can be modeled in a formal way and how web service combinations can be ranked automatically based on this information. | ||
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Version vom 15. August 2009, 19:09 Uhr
User Preference based Automated Selection of Web Service Compositions
User Preference based Automated Selection of Web Service Compositions
Published: 2005
Dezember
Herausgeber: Kunal Verma; Amit Sheth; Michal Zaremba; Christoph Bussler
Buchtitel: ICSOC Workshop on Dynamic Web Processes
Seiten: 1-12
Verlag: IBM
Erscheinungsort: Amsterdam, Netherlands
Referierte Veröffentlichung
BibTeX
Kurzfassung
Semantically rich descriptions of web services enable automatic composition and matchmaking. End users as well as providers compose web services according to their needs. Since in general, there can be more than one possibilities (combinations of web services) to achieve a certain goal, a user has to decide which of the alternatives suits him the best. This leads to the requirement that the combinations of web services must be comparable. This can be achieved by aggregating web service attributes. Since the ranking of web service combinations depends on user's needs, capabilities and willingness for ivestment of resources, considering user preferences is important while calculating the rank of a web service composition. We show, how user preferences as well as aggregation information can be modeled in a formal way and how web service combinations can be ranked automatically based on this information.
Download: Media:2005_1058_Agarwal_User_Preference_1.pdf
Graduiertenkolleg IME, KAON WS, SESAM, SEKT
Semantische Web Dienste, Electronic Commerce, Elektronische Märkte, Fuzzy Logik