Automatic Generation of Mashups for Personalized Commerce in Digital TV by Semantic Reasoning

Blanco‐Fernández, Yolanda; López‐Nores, Martín; Pazos‐Arias, José J.; Martín-Vicente, Manuela I.

doi:10.1007/978-3-642-03964-5_13

Cited by 3 publications

(4 citation statements)

References 13 publications

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“…With the advertisement on screen, as explained in [4], the viewer could click a button on his remote control to launch an interactive application that allows to learn more about the recommended item, to purchase online in case there is a return channel for bidirectional communication, etc.…”

Section: A Quick Examplementioning

confidence: 99%

Exploring synergies between digital tv recommender systems and electronic health records

López‐Nores

Blanco‐Fernández

Pazos‐Arias

et al. 2010

Proceedings of the 8th European Conference on Interactive TV and Video

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Recommender systems have been around for several years in Digital TV scenarios as tools intended to discover items that are likely to be of interest for the viewers, as inferred from profiles that gather information about TV programs they watch or commercial products they purchase. In this paper, we introduce electronic health records as a new dimension of the viewer profiles, enabling a number of features that may have a significant impact in the field of interactive services to the home. This proposal brings in contributions related to (i) designing architectures and procedures to prevent the disclosure or guessing of sensitive health-related data, (ii) enabling access to information stored in standards-compliant EHR repositories from DTV set-top boxes, and (iii) refining the recommendation logic to reckon the enabling/disabling nature of such data.

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Section: A Quick Examplementioning

confidence: 99%

Exploring synergies between digital tv recommender systems and electronic health records

López‐Nores

Blanco‐Fernández

Pazos‐Arias

et al. 2010

Proceedings of the 8th European Conference on Interactive TV and Video

Self Cite

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“…Blanco-Fernández et al [9] presented a procedure to automatically compose interactive applications that provide personalized commercial functionalities to the users, gathering content from multiple sources and with a back-end of semantic web services. The procedure is driven by SWRL rules and similarity metrics based on semantic reasoning.…”

Section: Related Workmentioning

confidence: 99%

“…The above efforts differ in two distinct dimensions, namely the representation formalism and the exploi-tation technique used, as discussed in Section 2. The tourist information and the content of advertised items in [30] and in [9] respectively, are both represented as basic ontology components. In [30] besides the travel ontology, a user ontology is also constructed.…”

Section: Related Workmentioning

confidence: 99%

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Semantic web rules and ontologies for developing personalised mashups

Kalou

Koutsomitropoulos

Papatheodorou

2013

IJKWI

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The current trends for the future evolution of the Web are without doubt the Semantic Web and Web 2.0. A common perception for these two visions is that they are competing. Nevertheless, it becomes more and more obvious that these two concepts are complementary. Semantic Web technologies have been considered as a bridge for the technological evolution from Web 2.0 to Web 3.0, the Web about recommendation and personalization. Towards this perspective, in this work we introduce a framework based on a 3-tier architecture that illustrates the potential for combining Web 2.0 and Semantic Web technologies. Based on this framework, we present an application of searching books from Amazon and Half eBay with a focus on personalization. This implementation purely depends on ontology development, writing of rules (for the personalization), and on creation of a mashup with the aid of Web APIs. However, there are several open issues that must be addressed before such applications can become commonplace. The aim of this work is to be a step towards supporting the development of applications which combine the two trends so as to conduce towards the term Web 3.0, which is used to describe the next generation Web.

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