http://www.cnr.it/ontology/cnr/individuo/prodotto/ID67632
A similarity assessment method for discovering and adapting business services (Articolo in rivista)
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- Label
- A similarity assessment method for discovering and adapting business services (Articolo in rivista) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1504/IJCSE.2010.036820 (literal)
- Alternative label
D'Ulizia Arianna, Ferri Fernando, Grifoni Patrizia (2010)
A similarity assessment method for discovering and adapting business services
in International journal of computational science and engineering (Print); Inderscience Enterprises Ltd., Geneva (Swaziland)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- D'Ulizia Arianna, Ferri Fernando, Grifoni Patrizia (literal)
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- https://inderscience.metapress.com/content/wlx613wqt7r20547/resource-secured/?target=fulltext.pdf (literal)
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- ISSN: 1742-7185 (literal)
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- D'Ulizia Arianna, Ferri Fernando, Grifoni Patrizia : Institute for Research on Population and Social Policies - National Research Council (literal)
- Titolo
- A similarity assessment method for discovering and adapting business services (literal)
- Abstract
- The advent and achievement of new mobile technologies makes it possible to offer online services to people whenever and wherever they are. Location-based services, in particular, concentrate on providing users with information about points of interest or on the support for navigation and routing tasks. One of the main challenges for these services is to adapt information to be retrieved to the user, taking into account user's preferences and contextual data (e.g., time, user's location, weather, etc.). This paper focuses onsuch challenging issues, proposing a context-aware discovery process that is based on twokinds of similarities (semantic and structural) to facilitate the identification of semantically related services and to make the user's request more precise and selective. (literal)
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