On Service Value Networks Composition
This event took place on Monday 27 June 2011 at 11:30
Ivan S. Razo-Zapata Free University Amsterdam
In our research we aim at a framework for Service Value Network (SVN) composition. Such framework focuses on business-oriented issues. In this sense, based on the concept of economic reciprocity, we consider a service as an economic activity that offers and requests valuable objects, i.e. the service gives its resources if, and only if, it gets its requested objects. Moreover, since the participants within an SVN are customers and suppliers, our framework helps to analyze the Business to Customer (B2C) and the Business to Business (B2B) value exchanges. Finally, we argue that the future internet of services depends on the availability of service offerings as well as the understanding of issues such as revenue models, service bundling, business relationships among others.
This event took place on Monday 27 June 2011 at 11:30
In our research we aim at a framework for Service Value Network (SVN) composition. Such framework focuses on business-oriented issues. In this sense, based on the concept of economic reciprocity, we consider a service as an economic activity that offers and requests valuable objects, i.e. the service gives its resources if, and only if, it gets its requested objects. Moreover, since the participants within an SVN are customers and suppliers, our framework helps to analyze the Business to Customer (B2C) and the Business to Business (B2B) value exchanges. Finally, we argue that the future internet of services depends on the availability of service offerings as well as the understanding of issues such as revenue models, service bundling, business relationships among others.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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