3 resultados
Resultados de la búsqueda
Mostrando 1 - 3 de 3
Ítem Managing Dynamic Context to Enable User-Driven Web Integration in the Personal Web(2010-10-15) Lau, AlexThe Personal Web is the people-centric instan-tiation of the Smart Internet where informa-tion systems, services and web content are ar-ticulated by users according to their matters of concern. To realize the vision of the Per-sonal Web, the Smart Internet requires infras-tructure to support the user in the integra-tion of personal data and the composition of personal services within a highly dynamic con-text that constitutes the user's Personal Web Sphere. To address these requirements, we pro-pose a user-driven context management frame-work, built on the top of the basic enabling infrastructure of the Personal Web, to support users in the run-time modification of personal context models. The core of our proposal is the management of monitoring concerns by imple-menting feedback loops, where the user acts as the planner of the controller to adapt the mon-itoring strategy by means of using web inter-actions to modify the personal context models. These context models, deployed at three differ-ent levels of abstraction, represent monitoring concerns by defining abstract types of contex-tual entities, the relationships among them and the interactions that the user can instantiate to drive web integration.Ítem Exploiting social context in personalized web-tasking applications(IBM Corp., 2014-11-03) Villegas Machado, Norha MilenaPersonalized Web-Tasking (PWT) systems automate ordinary and repetitive web interactions while exploiting personal context to deliver personalized features. Among the personal context of a user, social context is all information obtained from the relationships with other users, which is relevant to the user's personalized web-tasks. Current approaches exploit the information of social media, or the explicit input of the user, and use it as is. In addition to this, PWT systems also benefit by inferring social relationships through reasoning over such information and other sources of context. For example, a calendar application might record events the user shares with other people, or the sensors on mobile devices can be used to identify others nearby. This information can be exploited to improve the execution of PWT applications including its personalization and context-adaptive capabilities.Ítem Personalized Web-Tasking Applications: An Online Grocery Shopping Prototype(IEEE, 2014-06-27) Muller, Hausi A.Users utilize web applications to perform everyday tasks in order to achieve personal goals. Personalized Web-Tasking (PWT) is the automation of such web interactions while exploiting personal context to enrich users experience. However, web-tasking is affected by unpredictable context behaviour -- environment, user, and infrastructure -- and situational changes. Given that current web systems are challenged to respond effectively to such changes, we proposed to design PWT applications as self-adaptive software systems that exploit personal context to deliver user-centric functionalities. This paper presents our first approach implementing PWT applications using a grocery shopping web-tasking scenario. Our prototype PWT system transforms web-tasking knowledge information (i.e., user's web interactions) into RDF graphs (i.e., runtime models that contain the user's web-tasking). We conclude our paper with a discussion about our results and implementation challenges.