Project Plan 2013 (First Year)

This project comprises the following milestones:
  1. Software-based approaches to task simplification (May 2013). To understand personalized web-tasking in the context of the smart internet, we must first understand the state-of-the-art of software-based task simplification. During this milestone we propose a set of research challenges towards task simplifications. That is, the automatic decomposition of a web-task into an ordered and logical sequence of web-subtasks. Get the article here, or from the IEEExplore
  2. Characterization of models requirements for personalized web-tasking (July 2013). We proposed a conceptual representation of personalized web-tasking, characterize the corresponding modelling requiremts, and studied different modelling approaches in cpmpliance with these requirements. As a result, we mapped the modelling requirements and the modelling approaches to understand the elements that can be applied into personalized web-tasking as well as the gaps. Read our survey soon
  3. Modeling approach proposal for user tasks (December 2013). Goal-oriented modelling and the General Context Ontology are the main influences in our proposal of runtime models for personalized web-tasking. We propose a personalized web-tasking ontology using OWL2/RDF, and transform such ontology as an RDF graph that can be manipulated at runtime. Such rutime adaptation meets the requierment of context-awareness, and self-adaptation that we envision in the situation-aware software systems to support personalized web-tasking. Read our paper soon. In the meanwhike,  give a look to our CASCON 2013 poster and our CSER 2013 Fall Research talk presentation.
  4. Prototype to demonstrate selected personalized web-tasking features  (December 2013). As an illustration of the personaized web-tasking domain, we implement an scenario based on an online grocery shopping task. This scenario implies activities that must be performed periodically and can involve social interactions, as well as interaction of a variety of software applications and devices. Moreover, this scenario uses multiple services and diverse data sources from the web. Read our paper soon. In the meakwhile, give a look to our 2013 CASCON demo presentation for an overview.

The next idea
We are proposing the introduction of Social Context as a mean to improve personalized web-tasking. 

We presented our idea at the CSER 2013 Fall conference. Give a look to our poster here.
Poster abtract: Personalized web-tasking assists users in the fulfillment of personal goals, through the automation of repetitive web-tasks commonly managed and customized manually by the user. For this purpose, the user's personal context is exploited to guarantee user-centric web interactions. However, social context (i.e., the personal context of other users in her social network) is also part of her personal context. Data analytics is relevant to understand this type of information and act upon itto for improving the web-tasking by suggesting better recommendations to execute web-tasks and/or dynamically compose them. We present a characterization of social context and how it might affect personalized web-tasking. As an illustration we use an online grocery shopping scenario to exploit the existence of multiple user social connections