THE USE OF CARIN LANGUAGE AND ALGORITHMS FOR INFORMATION INTEGRATION: THE PICSEL SYSTEM

2000 ◽  
Vol 09 (04) ◽  
pp. 383-401 ◽  
Author(s):  
FRANÇOIS GOASDOUÉ ◽  
VÉRONIQUE LATTÈS ◽  
MARIE-CHRISTINE ROUSSET
Keyword(s):  
Information Integration ◽  
Information Sources ◽  
Expressive Power ◽  
Real Case ◽  
Travel Agency ◽  
Integration System ◽  
The Core ◽  
Knowledge Based ◽  
Information Server ◽  
Logical Formalism

PICSEL is an information integration system over sources that are distributed and possibly heterogeneous. The approach which has been chosen in PICSEL is to define an information server as a knowledge-based mediator in which CARIN is used as the core logical formalism to represent both the domain of application and the contents of information sources relevant to that domain. In this paper, we describe the way the expressive power of the CARIN language is exploited in the PICSEL information integration system, while maintaining the decidability of query answering. We illustrate it on examples coming from the tourism domain, which is the first real case that we have to consider in PICSEL, in collaboration with the travel agency Degriftour. see

scholarly journals Technical Paper Recommendation: A Study in Combining Multiple Information Sources

2001 ◽  
Vol 14 ◽  
pp. 231-252 ◽  
Author(s):  
C. Basu ◽  
H. Hirsh ◽  
W. W. Cohen ◽  
C. Nevill-Manning
Keyword(s):  
Information Integration ◽  
Information Sources ◽  
Data Sources ◽  
Conference Paper ◽  
Online Data ◽  
Integration System ◽  
Technical Paper ◽  
Recommendation Algorithms ◽  
Opening Up ◽  
The Web

The growing need to manage and exploit the proliferation of online data sources is opening up new opportunities for bringing people closer to the resources they need. For instance, consider a recommendation service through which researchers can receive daily pointers to journal papers in their fields of interest. We survey some of the known approaches to the problem of technical paper recommendation and ask how they can be extended to deal with multiple information sources. More specifically, we focus on a variant of this problem -- recommending conference paper submissions to reviewing committee members -- which offers us a testbed to try different approaches. Using WHIRL -- an information integration system -- we are able to implement different recommendation algorithms derived from information retrieval principles. We also use a novel autonomous procedure for gathering reviewer interest information from the Web. We evaluate our approach and compare it to other methods using preference data provided by members of the AAAI-98 conference reviewing committee along with data about the actual submissions.

scholarly journals Semantic and knowledge based support to business model evaluation to stimulate green behaviour of electric vehicles’ drivers and energy prosumers

2021 ◽  
Author(s):  
Beniamino Di Martino ◽  
Dario Branco ◽  
Luigi Colucci Cante ◽  
Salvatore Venticinque ◽  
Reinhard Scholten ◽  
...  
Keyword(s):  
Business Model ◽  
Model Evaluation ◽  
Business Models ◽  
Real Case ◽  
Sustainable Mobility ◽  
Semantic Framework ◽  
Knowledge Based ◽  
Survey Results ◽  
Energy Prosumers

AbstractThis paper proposes a semantic framework for Business Model evaluation and its application to a real case study in the context of smart energy and sustainable mobility. It presents an ontology based representation of an original business model and examples of inferential rules for knowledge extraction and automatic population of the ontology. The real case study belongs to the GreenCharge European Project, that in these last years is proposing some original business models to promote sustainable e-mobility plans. An original OWL Ontology contains all relevant Business Model concepts referring to GreenCharge’s domain, including a semantic description of TestCards, survey results and inferential rules.

Capturing and Using Designer Intent in a Design-With-Features System

1991 ◽  
Author(s):  
Eric H. Nielsen ◽  
John R. Dixon ◽  
George E. Zinsmeister
Keyword(s):  
Computer Aided Design ◽  
Simultaneous Equation ◽  
The Core ◽  
Knowledge Based ◽  
Evaluation Procedures ◽  
Equation Solving ◽  
Feature Based ◽  
Design Systems ◽  
Aided Design ◽  
Intelligent Computer

Abstract The goal of “intelligent” computer-aided-design (CAD) systems is to provide greater support for the process of design, as distinguished from drafting and analysis. More supportive design systems should provide a quick and simple means of creating and modifying design configurations, automating evaluation procedures (e.g., for manufacturing), and automating interfaces to analysis procedures. In this paper we are concerned with the issues of representing in-progress designs so that such goals can be met. A feature-based representation is proposed in which features are defined as possessing not only form but also certain designer intentions regarding geometric relationships. A working experimental version of a design-with-features system using this representation for thin-walled components illustrates its use in composing a design as a configuration of feature-forms, in modifying the design geometry through automatic, intelligent incorporation and propagation of designer-initiated geometry changes, and in providing for the generation of user-defined features. In contrast to constraint-driven simultaneous equation solving methods, this system uses an intent-driven knowledge-based method to propagate and incorporate geometry modifications not only in fully-constrained designs, but also in over- and under-constrained designs. Issues of manageability, extensibility, and computationally efficiency were considered in the development of the core services of the system.

scholarly journals Management Methods and Concepts for Building Competitive Advantage in Hospitality Companies

2014 ◽  
Vol 21 (3) ◽  
pp. 178-183
Author(s):  
Beata Gierczak
Keyword(s):  
Knowledge Management ◽  
Competitive Advantage ◽  
Emerging Market ◽  
Final Part ◽  
Management Process ◽  
Practical Application ◽  
The Core ◽  
Knowledge Based ◽  
Management Concepts ◽  
Market Management

Abstract Introduction. Competitive advantage determines the success of modern enterprises, such as hospitality companies, on the market. In turn, competitive advantage is gained as the result of skillful management, taking into account the factors that characterize the company environment. In the management process, methods and concepts that, when properly applied, facilitate the company's innovative activities play the key role, thus contributing to building competitive advantage. The purpose of this paper is to specify and characterize the methods and management concepts most commonly used by hospitality companies in the process of building competitive advantage. The core benefit of these considerations is that they serve to identify those activities of hospitality companies in which the analyzed methods and concepts found practical application. The final part of the article is devoted to an attempt to identify barriers and problems that significantly limit the use of these methods and concepts. Material and methods. In order to achieve this objective, a survey and interviews were carried out in all three- and four-star hotels in the Rzeszów area in the first quarter of 2012. Results. The results revealed that the concept most commonly used by hoteliers was knowledge-based organization (knowledge management), followed by outsourcing, benchmarking and internal competition, respectively. Conclusions. The study also demonstrated that the managers of these hospitality companies significantly lacked substantive knowledge of emerging “market” management methods and concepts.

scholarly journals Transition to the Knowledge-Based Economy within the Modernization Paradigm for the States in the Core and Semi-Periphery of the Global Economic System

2021 ◽  
Vol 3 (49) ◽  
pp. 117-123
Author(s):  
O. A. Dovgal ◽  
◽  
G. V. Dovhal ◽  
H. V. Serdiuk ◽  
◽  
...  
Keyword(s):  
Economic System ◽  
Intellectual Capital ◽  
Main Function ◽  
Economic Resource ◽  
The Core ◽  
Knowledge Based ◽  
Catching Up ◽  
Knowledge Based Economy ◽  
Innovative Model ◽  
Intellectual Production

Abstract: The article generalizes the features of modern transition from industrial to post-industrial (or knowledge-based) economy within the modernization paradigm for the states in the core and semi-periphery of the global economic system. It is proved that among the historical diversity of national modernization phenomena one can single out two alternative models: an innovative model and a catching-up one. It is substantiated that the innovative model is most typical for the countries forming the core of the world economic system, while the catching-up model is more typical for countries in the periphery of global development. It is revealed that modern intellectual production covers, first of all, economic sectors producing information and knowledge. At the same time, intellectual capital also functions in productive industries, influencing their indicators as well. That is why knowledge workers, who form the intellectual strata of society, are considered to be subjects of intangible intellectual production, the latter making up the core of knowledge economy. Their main function is to produce intellectual products (socially valuable knowledge), in contrast to groups, whose social function is to embody these values and knowledge. It should also be noted that concrete historical forms of knowledge objectivisation, ways of their reproduction and, accordingly, historical types of intellectual layers can differ considerably. It is concluded that knowledge-based economy is considered as a sphere of economic activity, which nowadays is characterized by intensive use of intellectual capital as the main economic resource, in the fields of material production as well.

OPGEN: A System to Identify and Evaluate Potential Applications of Knowledge Based Systems

1992 ◽  
Author(s):  
Samir Rohatgi ◽  
James H. Oliver ◽  
Stuart S. Chen
Keyword(s):  
Knowledge Acquisition ◽  
Knowledge Base ◽  
Knowledge Based Systems ◽  
The Core ◽  
Knowledge Based ◽  
Evaluation Functions ◽  
Potential Applications ◽  
Computer Based ◽  
Suitable System ◽  
Overall Effectiveness

Abstract This paper describes the development of OPGEN (Opportunity Generator), a computer based system to help identify areas where a knowledge based system (KBS) might be beneficial, and to evaluate whether a suitable system could be developed in that area. The core of the system is a knowledge base used to carry out the identification and evaluation functions. Ancillary functions serve to introduce and demonstrate KBS technology to enhance the overall effectiveness of the system. All aspects of the development, from knowledge acquisition through to testing are presented in this paper.

Is Entrepreneurship Education Key to All Entrepreneurial Initiatives?

2021 ◽  
pp. 45-63
Author(s):  
Joana Costa
Keyword(s):  
Economic Growth ◽  
Entrepreneurship Education ◽  
Individual Characteristics ◽  
Entrepreneurial Activity ◽  
The Core ◽  
Knowledge Based ◽  
The World ◽  
Employment Generation ◽  
Different Cultures

Entrepreneurship is a worldwide reality. Since the beginning of times and all around the world people have created businesses. Entrepreneurial orientation, from a macroeconomic perspective, allows income and employment generation, thus boosting growth. At the microeconomic level, it is a competition booster playing a central role in a globalized market. In this entrepreneurial ecosystem in which knowledge-based activity is the core booster of employment, economic growth, and competitiveness, universities and, in particular, entrepreneurial universities play either the role of knowledge production and dissemination. The present work aims to understand the role of education (formal and entrepreneurship) on entrepreneurial activity combined with heterogeneous individual characteristics and different cultures and geographies. Specifically, the study identifies substitution and complementary effects among both types of education according to individual taxonomies.

Deep Knowledge as the Core of Sustainable Societies

2010 ◽  
pp. 141-161 ◽  
Author(s):  
Alex Bennet ◽  
David Bennet
Keyword(s):  
Social Health ◽  
Community Sustainability ◽  
Community Members ◽  
Attractor Network ◽  
Social Communities ◽  
Deep Knowledge ◽  
The Core ◽  
Knowledge Based ◽  
Sustainable Societies

Knowledge-based social communities are critical to sustain economic levels and quality environments for community members. The pace of change, rising uncertainty, exponentially increasing complexity and the resulting anxiety (CUCA) have made competition among nations, cities and communities greater and more fierce. As economies look from industry to knowledge for their prime income generator, the role of knowledge and its supporting infrastructure become critical to economic and social health. In this chapter the authors focus on what deep knowledge is and the environment needed to maximize its contribution to the health and growth of societies. They also introduce knowledge attractor network teams as sources of power for community sustainability.

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