Knowledge Representation and WordNets

Knowledge itself is a representation of “real facts”. Knowledge is a logical model that presents facts from “the real world” witch can be expressed in a formal language. Representation means the construction of a model of some part of reality. Knowledge representation is contingent to both cognitive science and artificial intelligence. In cognitive science it expresses the way people store and process the information. In the AI field the goal is to store knowledge in such way that permits intelligent programs to represent information as nearly as possible to human intelligence. Knowledge Representation is referred to the formal representation of knowledge intended to be processed and stored by computers and to draw conclusions from this knowledge. Examples of applications are expert systems, machine translation systems, computer-aided maintenance systems and information retrieval systems (including database front-ends).knowledge, representation, ai models, databases, cams

Queering Abstract Concepts. A Grounded Perspective on Gender

Concepts are the building blocks of our cognitive system. Theories of conceptual knowledge have attempted to explain how we acquire master concepts by relying on different assumptions. Among several proposals, theories of Embodied and Grounded Cognition (EGC) submit to the idea that our conceptual system is couched in our bodily states and is influenced by the environment surrounding us (Barsalou, 2008). Chapter 1 reviews and critically discusses the debate on conceptual format as developed in cognitive science. Abstract concepts (ACs) like ethic constitute a major challenge for theories of conceptual knowledge, and for EGC theories. Recently, some EG proposals addressed this criticism, arguing that the category of ACs is multifaced and heterogenous, encompassing exemplars that differ among them with respect of their grounding sources (Borghi et al., 2018). According to the WAT theory (Borghi & Binkofski, 2014), for instance, both abstract and concrete concepts are grounded in our bodily states and linguistic system, to different extents. Specifically, ACs are more influenced by social, cultural and linguistic aspects than concrete concepts, hence activating the mouth effector. In addition, ACs would be more influenced by cultural and linguistic variability. Chapter 2 tackles the issue of ACs from an EG perspective. In an EG approach, gender can be considered as a special kind of AC. In fact, its grounding sources enclose biological and perceptual aspects–related to one’s own sexual embodiment–and social and cultural factors. Whereas previous accounts on gender have stressed one specific aspect over the other (Eagly & Wood, 2013), nowadays the dichotomy opposing sex to gender seems less tenable (Butler, 1990; Hyde et al., 2019). Drawing on the description of ACs offered in Chapter 2, in Chapter 3 I defend a queer perspective on ACs and gender, that escapes traditional dichotomies such as abstract/concrete and sex/gender

O desenvolvimento de uma base de dados léxico-conceitual bilíngue (inglês norte-americano/português brasileiro)

<p>Para os sistemas computacionais que processam línguas naturais, como os de tradução automática, os recursos léxico-conceituais bilíngues ou multilíngues são de extrema importância. Consequentemente, o desenvolvimento de tais recursos tem ocupado lugar de centralidade no Processamento Automático das Línguas Naturais (PLN). Para o português do Brasil (PB), os recursos desse tipo ainda são escassos. Neste trabalho, apresenta-se REBECA, uma base de dados léxico-conceitual bilíngue desenvolvida para o par de línguas “inglês americano-PB” (Ingl-PB). Na introdução, contextualiza-se o projeto de desenvolvimento dessa base. Na sequência, apresentam-se (i) o equacionamento metodológico do projeto, enfatizando as atividades de pesquisa realizadas em cada uma das etapas previstas pela metodologia, (ii) a construção da base com o auxílio do editor de ontologias Protégé-OWL, (iii) as principais características e potencialidades da base REBECA e, por fim, (iv) as possíveis extensões e algumas considerações finais.</p&gt

O desenvolvimento de uma base de dados léxico-conceitual bilíngue (inglês norte-americano/português brasileiro)

Para os sistemas computacionais que processam línguas naturais, como os de tradução automática, os recursos léxico-conceituais bilíngues ou multilíngues são de extrema importância. Consequentemente, o desenvolvimento de tais recursos tem ocupado lugar de centralidade no Processamento Automático das Línguas Naturais (PLN). Para o português do Brasil (PB), os recursos desse tipo ainda são escassos. Neste trabalho, apresenta-se REBECA, uma base de dados léxico-conceitual bilíngue desenvolvida para o par de línguas “inglês americano-PB” (Ingl-PB). Na introdução, contextualiza-se o projeto de desenvolvimento dessa base. Na sequência, apresentam-se (i) o equacionamento metodológico do projeto, enfatizando as atividades de pesquisa realizadas em cada uma das etapas previstas pela metodologia, (ii) a construção da base com o auxílio do editor de ontologias Protégé-OWL, (iii) as principais características e potencialidades da base REBECA e, por fim, (iv) as possíveis extensões e algumas considerações finais

Human-machine communication for educational systems design

This book contains the papers presented at the NATO Advanced Study Institute (ASI) on the Basics of man-machine communication for the design of educational systems, held August 16-26, 1993, in Eindhoven, The Netherland

Ontology-Driven Semantic Annotations for Multiple Engineering Viewpoints in Computer Aided Design

Engineering design involves a series of activities to handle data, including capturing and storing data, retrieval and manipulation of data. This also applies throughout the entire product lifecycle (PLC). Unfortunately, a closed loop of knowledge and information management system has not been implemented for the PLC. As part of product lifecycle management (PLM) approaches, computer-aided design (CAD) systems are extensively used from embodiment and detail design stages in mechanical engineering. However, current CAD systems lack the ability to handle semantically-rich information, thus to represent, manage and use knowledge among multidisciplinary engineers, and to integrate various tools/services with distributed data and knowledge. To address these challenges, a general-purpose semantic annotation approach based on CAD systems in the mechanical engineering domain is proposed, which contributes to knowledge management and reuse, data interoperability and tool integration. In present-day PLM systems, annotation approaches are currently embedded in software applications and use diverse data and anchor representations, making them static, inflexible and difficult to incorporate with external systems. This research will argue that it is possible to take a generalised approach to annotation with formal annotation content structures and anchoring mechanisms described using general-purpose ontologies. In this way viewpoint-oriented annotation may readily be captured, represented and incorporated into PLM systems together with existing annotations in a common framework, and the knowledge collected or generated from multiple engineering viewpoints may be reasoned with to derive additional knowledge to enable downstream processes. Therefore, knowledge can be propagated and evolved through the PLC. Within this framework, a knowledge modelling methodology has also been proposed for developing knowledge models in various situations. In addition, a prototype system has been designed and developed in order to evaluate the core contributions of this proposed concept. According to an evaluation plan, cost estimation and finite element analysis as case studies have been used to validate the usefulness, feasibility and generality of the proposed framework. Discussion has been carried out based on this evaluation. As a conclusion, the presented research work has met the original aim and objectives, and can be improved further. At the end, some research directions have been suggested.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

AI in Learning: Designing the Future

AI (Artificial Intelligence) is predicted to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support well-being initiatives and lifelong learning but educational institutions and companies need to take the changing technology into account. Moving towards AI supported by digital tools requires a dramatic shift in the concept of learning, expertise and the businesses built off of it. Based on the latest research on AI and how it is changing learning and education, this book will focus on the enormous opportunities to expand educational settings with AI for learning in and beyond the traditional classroom. This open access book also introduces ethical challenges related to learning and education, while connecting human learning and machine learning. This book will be of use to a variety of readers, including researchers, AI users, companies and policy makers