Search results for "knowledge representation"
showing 10 items of 78 documents
Phase Coherence in Conceptual Spaces for Conversational Agents
2010
This chapter attempts to enhance the traditional chatbots with associative/intuitive capabilities. According to these considerations, it tries to create a conversational agent model that takes into consideration, aside from the traditional rule - based dialogue mechanism, also some sort of intuitive reasoning ability. The aim is in attempting to overcome the rigid pattern - matching rules, proposing a "phase coherence" paradigm into a semantic space. With this locution the chapter intend that the vectors representing the elements of the dialogue are coherent with the context. The chapter trust that this intuitive - associative capability can be obtained using the LSA methodology. The repres…
Requirement analysis abstractions for AmI system design
2015
Current trends in the AI’s evolution are going towards enriching environments with intelligence in order to support humans in their everyday life. AmI systems are plunged in the real world and humans expect to interact with them in a way that is similar to the one they have with other humans. In this kind of systems, where eliciting requirements involves several documents and stakeholders (mainly users that will be the first consumers of the system), the requirement analysis phase can be affected by incomplete, ambiguous and imprecise information. Hence, the need to find a fruitful way for knowledge management and its representation at design time. In this paper we propose a set of abstract…
A Knowledge Management and Decision Support Model for Enterprises
2011
We propose a novel knowledge management system (KMS) for enterprises. Our system exploits two different approaches for knowledge representation and reasoning: a document-based approach based on data-driven creation of a semantic space and an ontology-based model. Furthermore, we provide an expert system capable of supporting the enterprise decisional processes and a semantic engine which performs intelligent search on the enterprise knowledge bases. The decision support process exploits the Bayesian networks model to improve business planning process when performed under uncertainty. Copyright © 2011 Patrizia Ribino et al.
Background questionnaires of PISA : a study of the assessment indicators
2016
El sistema de evaluación de PISA ha generado y continúa generando intensos debates sobre su estructura y utilidad. Este artículo se centra en los cuestionarios de contexto, como forma de analizar y entender de manera adecuada los resultados. Los objetivos son analizar los indicadores de contexto que se utilizan en las distintas ediciones de las pruebas PISA, su utilización en distintos estudios y en los resultados de estos estudios. Se proporciona una visión general del modelo utilizado para conseguir que estos indicadores dejen de ser algo que acompaña a las prueba de rendimiento para que alcancen su verdadero sentido: analizar conjuntamente el rendimiento junto con las variables que…
A Rule-Based System for Hardware Configuration and Programming of IoT Devices
2019
Simplifying programming, deployment, and configuration of heterogeneous networked IoT devices requires networking, hardware, representation of knowledge and concepts, design and programming skills. In fact, IoT applications are mostly built by adopting different existing paradigms and technologies on a case-by-case basis. As a result, programming tools hinder adaptability and interoperability of applications with their rigidity. In this paper, we propose a rule-based system that configures and programs IoT devices automatically. The rule base holds formal specifications about hardware platforms, networking protocols, physical world concepts, and applications. Provided with a high-level appl…
A Problem Structuring Method
1991
Given a formal definition of problem and a formal definition of system, the equivalence between both concepts is studied. Considering a problem as a 3-tuple , where D is the set of possible data, R is the set of possible results, and P the set of conditions of the problem, classes of problems are constructed as combinations of types of data, types of results and types of conditions. For example, data can be either literal or numerical, either with uncertainty or not; conditions can be determined by rules, tables, equations, it may have uncertainty, etc. As a case of application it is outlined how some of the most common problems (knowledge representation, search, reasoning and planning, etc…
Geometric and conceptual knowledge representation within a generative model of visual perception
1989
A representation scheme of knowledge at both the geometric and conceptual levels is offered which extends a generative theory of visual perception. According to this theory, the perception process proceeds through different scene representations at various levels of abstraction. The geometric domain is modeled following the CSG (constructive solid geometry) approach, taking advantage of the geometric modelling scheme proposed by A. Pentland, based on superquadrics as representation primitives. Recursive Boolean combinations and deformations are considered in order to enlarge the scope of the representation scheme and to allow for the construction of real-world scenes. In the conceptual doma…
Demonstration of Semantic Web-based Medical Ontologies and Clinical Decision Support Systems
2016
Master's thesis in Information- and communication technology IKT590 - University of Agder 2016 Konfidensiell til / confidential until 01.01.2022
Knowledge Representation and Cognitive Skills in Problem Solving
2017
This paper offers a programmatic view on the study of cross-linguistic variation and its effects on human cognitive skills. Based on Linguistic Typology and its methodology to account for cross-linguistic differences (section 2), it will show how the presence or absence of certain grammatical categories enhances or inhibits specific skills in the domain of quantification (section 3). In its main part (section 4), it will show how to describe structural differences between the source and the target language in translation and how to find out if these differences affect the performance of students in knowledge assessment tests. For that purpose, it will compare the English and the Japanese ve…
$$PO^2$$ - A Process and Observation Ontology in Food Science. Application to Dairy Gels
2016
This paper focuses on the knowledge representation task for an interdisciplinary project called Delicious concerning the production and transformation processes in food science. The originality of this project is to combine data from different disciplines like food composition, food structure, sensorial perception and nutrition. Available data sets are described using different vocabularies and are stored in different formats. Therefore there is a need to define an ontology, called \(PO^2\) (Process and Observation Ontology), as a common and standardized vocabulary for this project. The scenario 6 of the NeON methodology was used for building \(PO^2\) and the core component is implemented i…