Catarina Marques-Lucena

Framework for Customers’ Sentiment Analysis

Web software usage used as a vehicle of communication, where sentiments related to different subjects are shared through the web, has had a steep increase in recent years. For example, customers write about characteristics that they like the most, and they dislike, influencing others to use a specific commented service or product. Thus, the content of these comments could be used to address customers’ sentiments in such way that would increase companies’ services quality. However, since the output of such kind of web software is essentially unstructured data it is difficult for company managers to have access to that knowledge, and consequently reason through it accordingly. In this paper, the authors present a framework for customers’ sentiment analysis, which has the ability to automatically acquire knowledge from web software. Thus, it addresses the target of customer’s sentiments with the purpose of supporting companies’ managers in their decision-making to improve their products and services.

Osmosis Process Development for Innovative Product Design and Validation

The emerging Liquid-Sensing Enterprise (LSE) concept provides to manufacturing enterprises the required enablers to modernize traditional strategies for product design and validation. The proposed osmosis processes integrates innovative processes and paradigms comprising a MDA/MDI based approach with the focus to potentiate the generation of technological innovations. These osmosis processes address the existing real, digital and virtual related data of specific products design supported by sensing assets to facilitate ready-to-run business processes, to then perform efficient product development and validation. This paper integrates model-driven techniques and runtime environments as well as novel form of information access and visualization for systems design and process development. The developments are accompanied with a real example from a manufacturing environment of engine camshafts.Copyright

E-Training Development Approach for Enterprise Knowledge Evolution

A practical e-training development approach can facilitate and promote the development of competencies and knowledge in industry. This paper presents a training strategy and a common methodology for building training courses with the purpose to provide an efficient inter-organizational approach to industrial training development. The methodology for building e-training courses proposes to create training materials in an easier way, enabling various organizations to actively participate on its production. The result is an approach able to facilitate intra and inter enterprises knowledge creation and transfer.Copyright

Knowledge Management Framework using Wiki-based Front-end Modules

Nowadays organizations have been pushed to speed up the rate of industrial transformation to high value products and services. The capability to agilely respond to new market demands became a strategic pillar for innovation, and knowledge management could support organizations to achieve that goal. However, such knowledge management approaches tend to be over complex or too academic, with interfaces difficult to manage, even more if cooperative handling is required. Nevertheless, in an ideal framework, both tacit and explicit knowledge management should be addressed to achieve knowledge handling with precise and semantically meaningful definitions. Contributing towards this direction, this paper proposes a framework capable of gathering the knowledge held by domain experts through a widespread wiki look interface, and transforming it into explicit ontologies. This enables to build tools with advanced reasoning capacities that may support enterprises decision-making processes.

Knowledge Management Support in Sensing Enterprises Establishment

Abstract The Sensing Enterprise paradigm relies upon the collection and processing of several types of data, from a wide variety of sources, including sensor networks. If the data collected is to be useful in the support and decentralization of its decision-making capabilities, the data gathered must be transformed into actionable information and knowledge. Knowledge management principles can and should be applied as they can assist in the fulfillment of the Sensing Enterprise vision. It states that enterprises with sensing capabilities will be able to anticipate future decisions by the understanding of the information handled, which enables specific context situations awareness.

Framework for Management of Internet Objects in Their Relation With Human Sensations and Emotions

Emotions are what make us human and emotions are what make us different. A person can make a list of such expressions about the role of human emotions, as they play a central role in our lives, in our interactions with others and the surrounding environment. Emotions are in a broad sense the regulators of our interaction with the world as they play a central role in our perception of the world and in our knowledge construction.In another angle, sensations are our immediate detector of the surrounding environment as, since ever, we see, touch and smell what is around us, we ear friendly voices or run from predator’s sounds and taste food that keep us alive. Both emotions and sensations can be used to describe our living and our main interactions with the world.However, despite that important role of senses and emotions, there is a poor representation of sensorial information and lack of understanding of emotions from the side of computational systems. Subsequently it is noticeable the absence of support to acquire and fully represent human sensorial experience and lack of ability to represent, and appropriately react, from those systems to emotional activity. The proposed work consists in developing a framework that acquires knowledge about human emotions from self-reporting or the interaction with Internet objects and media. In particular, it intends to facilitate their emotions description at the Internet from proposed samples of sensorial information allowing a later management of that knowledge for the most diverse objectives, as an example, for searching objects or media through similarities of emotional and sensorial patterns.Copyright

Model-driven approach for the interoperability of enterprises' services information exchange

Nowadays, enterprises have been pushed up the rate of industrial transformation to high level products and services. The capability to agilely respond to new market demands became a strategic pillar for enterprises survival. It leads to the necessity of create mechanisms to allow enterprises to combine forces to compete jointly in the market, in order to raise their own added value and to become specialist in niche activities. But to unite forces, enterprises must exchange information/knowledge between them. A semantic problem emerges when the same representation of a thing can have different meanings to different applications and enterprises. It can be a disabler for information exchange and its interpretation. The Semantic Web Service concept emerges as a solution to facilitate Web Services description and consequently discovery tasks, unifying the domain services. Moreover, the data integration between concepts can be achieved trough mappings establishment between Web Services elements. However, a solution that allows to map Web Service elements to semantic concepts represented using OWL is still missing. To face this issue, a model-driven approach supported by a mapping tool is here presented with the aim of facilitate the information exchange trough the establishment of mappings between enterprises services models and the domain reference lexicon.

Collaborative Knowledge Management Using Wiki Front-End Modules

Nowadays organizations have been pushed to speed up the rate of industrial transformation to high value products and services. The capability to agilely respond to new market demands became a strategic pillar for innovation, and knowledge management could support organizations to achieve that goal. However, such knowledge management approaches tend to be over complex or too academic, with interfaces difficult to manage, even more if cooperative handling is required. Nevertheless, in an ideal framework, both tacit and explicit knowledge management should be addressed to achieve knowledge handling with precise and semantically meaningful definitions. Contributing towards this direction, this paper proposes a framework capable of gathering the knowledge held by domain experts through a widespread wiki look interface, and transforming it into explicit ontologies. This enables to build tools with advanced reasoning capabilities, able to provide contextualized recommendation of resources, facilitating communities’ coordination and supporting decision-making activities. A scenario where the framework was successfully applied is provided to show the pertinence of the proposed framework.

Osmotic Event Detection and Processing for the Sensing-Liquid Enterprise

The Sensing-Liquid Enterprise paradigm enhances sensing capabilities of the Sensing Enterprise with fuzzy boundaries of the Liquid Enterprise by interconnecting real, virtual and digital worlds through semi-permeable membrane behavior. Shadow images of the different worlds need to be kept consistent. Osmotic data flows between the real, digital and virtual world allow events to break out of their inner world behavior and to advance to inter-world events.