Download E-Commerce and Web Technologies: 14th International by Ivy Hong-Ieng Hoi, Mars Liwen Liao, Chih-Chieh Hung, Evans PDF

By Ivy Hong-Ieng Hoi, Mars Liwen Liao, Chih-Chieh Hung, Evans Tseng (auth.), Christian Huemer, Pasquale Lops (eds.)

This e-book constitutes the refereed court cases of the 14th foreign convention on digital trade and net applied sciences (EC-Web) held in Prague, Czech Republic, in August 2013. In 2013, EC-Web excited about recommender platforms, semantic e-business, enterprise providers and strategy administration, and agent-based e-commerce. The thirteen complete and six brief papers authorised for EC-Web, chosen from forty three submissions, have been rigorously reviewed in accordance with their originality, caliber, relevance, and presentation.

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Extra resources for E-Commerce and Web Technologies: 14th International Conference, EC-Web 2013, Prague, Czech Republic, August 27-28, 2013. Proceedings

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Afterwards RuleML is transformed to Jess in order to become machine executable, as discussed above. fact (entrance_fee 5)) (store EXPLANATION "entrance fee for Students on Tuesday’s is 5 euro")) In detail, the JESS salience operator is used for resolving rule conflict issues, “modify” changes the values of the related properties and “EXPLANATION” is a variable for storing the explanation and presenting it afterwards to the end user. Place owners are able to repeat this process and add multiple rules.

The strength of weak ties. American Journal of Sociology, 1360– 1380 (1973) 21. : Social network analysis. SAGE Publications Limited (2012) 22. : A collaborative filtering similarity measure based on singularities. Information Processing & Management 48, 204–238 (2012) 23. : Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities. gr 2 Abstract. In this paper, an innovative Personalized Location Information System for the Semantic Web (called SPLIS) is presented.

Arias et al. [24] proposed a thesaurus-based semantic context-aware auto completion mechanism. Applications that Take Advantage of Smartphones Capabilities. Woensel et al. [25] proposed a person matching application based on data retrieved from foaf profile and identification techniques such as RFID, Bluetooth etc. Furthermore, Keßler et al. [26] combined data collected from sensors with ontologies and rules in SWRL format for utilizing complex context information. Venezia et al. [27], adopted a dynamic rule based approach for personalizing mobile experiences, by offering user the capability to choose from a set of rules (concerning mobile preferences) or add one manually.

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