A knowledge-based mediator for dynamic integration of heterogeneous multimedia information sources

2005 ◽  
Author(s):  
Peng Gong ◽  
Yu S. Lim ◽  
D. Feng
Keyword(s):  
Multimedia Information ◽  
Information Sources ◽  
Knowledge Based ◽  
Dynamic Integration

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

Knowledge-based cognitive support for multimedia information design

1996 ◽  
Vol 38 (3) ◽  
pp. 191-200 ◽  
Author(s):  
Kumiyo Nakakoji ◽  
Atsushi Aoki ◽  
Brent N. Reeves
Keyword(s):  
Multimedia Information ◽  
Information Design ◽  
Cognitive Support ◽  
Knowledge Based

scholarly journals Çiftçi Davranışlarının ve Bilgi Kaynaklarının Son 30 Yıllık Bir Süreçteki Değişimi Üzerine Araştırma

2020 ◽  
Vol 8 (6) ◽  
pp. 1405-1412
Author(s):  
Özdal Köksal
Keyword(s):  
Rural Areas ◽  
Information Sources ◽  
Economic Activities ◽  
Research Results ◽  
Knowledge Based ◽  
Analysis Technique ◽  
Farmer Behaviour ◽  
Longitudinal Approach ◽  
Long Time ◽  
Urban People

In this study, the change of farmer behaviour, which is thought to change slowly, over a 30 period, was evaluated in terms of information sources. In the study, the change in farmer attitudes with a longitudinal approach was designed in a process, and the data obtained from the same farmers and the same questionnaire forms were changed over time. A survey conducted in 1989 was repeated in the same region, in the same survey forms and in the same sample group (66 farmers) in 2019. In the analysis phase of the data obtained from the surveys, Multiple Compliance Analysis Technique was used. In the Polatlı District of Ankara Province, the long-term approach of 66 farmers, especially the changes in information sources and the non-logging habits of their businesses, has been determined with a longitudinal approach. The research results revealed that urban people have become close to rural areas and agriculture, and that their farmers have become close to district and provincial centres. As in all economic activities, research results support that the same jobs in agriculture for the long time do not have the opportunity to do the same and to be content with the knowledge left from the ancestor. This result is the most concrete indication that knowledge-based agriculture has become inevitable in every respect.

scholarly journals A knowledge-based approach for selecting information sources

2007 ◽  
Vol 7 (3) ◽  
pp. 249-300 ◽  
Author(s):  
THOMAS EITER ◽  
MICHAEL FINK ◽  
HANS TOMPITS
Keyword(s):  
Information Sources ◽  
Query Language ◽  
User Preferences ◽  
Logic Programs ◽  
Data Repositories ◽  
Vast Number ◽  
Knowledge Based ◽  
Source Selection ◽  
User Query ◽  
Selection Of

AbstractThrough the Internet and the World-Wide Web, a vast number of information sources has become available, which offer information on various subjects by different providers, often in heterogeneous formats. This calls for tools and methods for building an advanced information-processing infrastructure. One issue in this area is the selection of suitable information sources in query answering. In this paper, we present a knowledge-based approach to this problem, in the setting where one among a set of information sources (prototypically, data repositories) should be selected for evaluating a user query. We use extended logic programs (ELPs) to represent rich descriptions of the information sources, an underlying domain theory, and user queries in a formal query language (here, XML-QL, but other languages can be handled as well). Moreover, we use ELPs for declarative query analysis and generation of a query description. Central to our approach are declarativesource-selection programs, for which we define syntax and semantics. Due to the structured nature of the considered data items, the semantics of such programs must carefully respect implicit context information in source-selection rules, and furthermore combine it with possible user preferences. A prototype implementation of our approach has been realized exploiting the DLV KR system and its PLP front-end for prioritized ELPs. We describe a representative example involving specific movie databases, and report about experimental results.

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