scholarly journals Knowledge-Based Stable Roommates Problem: A Real-World Application

2021 ◽  
pp. 1-18
Author(s):  
MÜGE FIDAN ◽  
ESRA ERDEM
Keyword(s):  
Real World ◽  
Matching Problem ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Knowledge Based ◽  
Real World Application ◽  
Stable Roommates Problem ◽  
Domain Specific Knowledge ◽  
Incomplete Lists ◽  
Domain Independent

Abstract The Stable Roommates problem with Ties and Incomplete lists (SRTI) is a matching problem characterized by the preferences of agents over other agents as roommates, where the preferences may have ties or be incomplete. SRTI asks for a matching that is stable and, sometimes, optimizes a domain-independent fairness criterion (e.g. Egalitarian). However, in real-world applications (e.g. assigning students as roommates at a dormitory), we usually consider a variety of domain-specific criteria depending on preferences over the habits and desires of the agents. With this motivation, we introduce a knowledge-based method to SRTI considering domain-specific knowledge and investigate its real-world application for assigning students as roommates at a university dormitory.

scholarly journals ONTOLOGY-BASED WEB TOOLS FOR RETRIEVING PHOTOGRAMMETRIC CULTURAL HERITAGE MODELS

2019 ◽  
Vol XLII-2/W10 ◽  
pp. 31-38 ◽  
Author(s):  
M. Ben Ellefi ◽  
P. Drap ◽  
O. Papini ◽  
D. Merad ◽  
J. P. Royer ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Knowledge Based ◽  
Web Tools ◽  
Domain Specific Knowledge ◽  
Visualization Systems ◽  
User Friendly ◽  
Machine Readable ◽  
Associated Knowledge

<p><strong>Abstract.</strong> A key challenge in cultural heritage (CH) sites visualization is to provide models and tools that effectively integrate the content of a CH data with domain-specific knowledge so that the users can query, interpret and consume the visualized information. Moreover, it is important that the intelligent visualization systems are interoperable in the semantic web environment and thus, capable of establishing a methodology to acquire, integrate, analyze, generate and share numeric contents and associated knowledge in human and machine-readable Web. In this paper, we present a model, a methodology and a software Web-tools that support the coupling of the 2D/3D Web representation with the knowledge graph database of <i>Xlendi</i> shipwreck. The Web visualization tools and the knowledge-based techniques are married into a photogrammetry driven ontological model while at the same time, user-friendly web tools for querying and semantic consumption of the shipwreck information are introduced.</p>

Multi-Agent Architecture for Knowledge-Driven Decision Support

2010 ◽  
pp. 28-46
Author(s):  
Rahul Singh
Keyword(s):  
Decision Support ◽  
Intelligent Agents ◽  
Agent Architecture ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Knowledge Based ◽  
Intelligent Software Agents ◽  
Intelligent Decision ◽  
Domain Specific Knowledge ◽  
Multi Agent

Organizations use knowledge-driven systems to deliver problem-specific knowledge over Internet-based distributed platforms to decision-makers. Increasingly, artificial intelligence (AI) techniques for knowledge representation are being used to deliver knowledge-driven decision support in multiple forms. In this chapter, we present an Architecture for knowledge-based decision support, delivered through a Multi-Agent Architecture. We illustrate how to represent and exchange domain-specific knowledge in XML-format through intelligent agents to create exchange and use knowledge to provide intelligent decision support. We show the integration of knowledge discovery techniques to create knowledge from organizational data; and knowledge repositories (KR) to store, manage and use data by intelligent software agents for effective knowledge-driven decision support. Implementation details of the architecture, its business implications and directions for further research are discussed.

scholarly journals Reliability improvement and risk reduction by inequalities and segmentation

2019 ◽  
Vol 234 (1) ◽  
pp. 63-73
Author(s):  
Michael Todinov
Keyword(s):  
Risk Reduction ◽  
Kinematic Analysis ◽  
Chain Rule ◽  
Internal Stresses ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
Complex Mechanisms ◽  
The Individual ◽  
Domain Independent

The article introduces new domain-independent methods for improving reliability and reducing risk based on algebraic inequalities and chain-rule segmentation. Two major advantages of algebraic inequalities for reducing risk have been demonstrated: (1) ranking risky prospects in the absence of any knowledge related to the individual building parts and (2) reducing the variability of a risk-critical output parameter. The article demonstrates a highly counter-intuitive result derived using inequalities. If no information about the component reliability characterising the individual suppliers is available, purchasing components from a single supplier or from the smallest possible number of suppliers maximises the probability of a high-reliability assembly. The article also demonstrates the benefits from combining domain-independent methods and domain-specific knowledge for achieving risk reduction in several unrelated domains, decision-making, manufacturing, strength of components and kinematic analysis of complex mechanisms. In this respect, the article introduces the chain-rule segmentation method and applies it to reduce the risk of computational errors in kinematic analysis of complex mechanisms. Finally, the article demonstrates that combining the domain-independent method of segmentation and domain-specific knowledge in stress analysis leads to a significant reduction of the internal stresses and reduction of the risk of overstress failure.

scholarly journals Automated Process Planning for CNC Machining

AI Magazine ◽  
2016 ◽  
Vol 37 (3) ◽  
pp. 116-117 ◽  
Author(s):  
Christian Fritz
Keyword(s):  
Process Planning ◽  
Search Space ◽  
Cnc Machining ◽  
Ai Planning ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Automated Process Planning ◽  
Domain Specific Knowledge ◽  
Automated Process ◽  
Domain Independent

This article describes our application of AI planning to the problem of automated process planning for machining parts, given raw stock and a CAD file describing the desired part geometry. We have found that existing planners from the AI community were falling short on several requirements, most importantly regarding the expressivity of state and action representations, and the ability to exploit domain-specific knowledge to prune the search space. In this article we describe the requirements we had in this application and what kind of results from the planning community helped us most. Overall, in this project as well as others, we found that even significant results from domain-independent planning may not be relevant in practice.

A domain-specific knowledge-based heuristic for the Blocks Relocation Problem

2014 ◽  
Vol 28 (4) ◽  
pp. 327-343 ◽  
Author(s):  
Christopher Expósito-Izquierdo ◽  
Belén Melián-Batista ◽  
J. Marcos Moreno-Vega
Keyword(s):  
Specific Knowledge ◽  
Domain Specific ◽  
Knowledge Based ◽  
Domain Specific Knowledge

An Effective Assessment of Knowledge Sharing and E-Learning Portals

2015 ◽  
Vol 10 (2) ◽  
pp. 1-12 ◽  
Author(s):  
D. Venkata Subramanian ◽  
Angelina Geetha ◽  
P. Shankar
Keyword(s):  
Knowledge Sharing ◽  
Industrialized Countries ◽  
Specific Knowledge ◽  
Web Based ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
E Learning ◽  
Effective Assessment ◽  
Process Trends ◽  
Domain Independent

In recent years, most of the companies have increasingly realized the importance of the knowledge sharing portal and E-Learning portals to provide competitive knowledge for their employees. The knowledge stored in these portals varies from technical, process and project knowledge functional or domain specific knowledge to face the competitiveness among other companies or organizations, especially in industrialized countries. More than three-fourths of organizations have focused on their investment in technology and process trends that encourage user collaboration through Knowledge sharing and e-Learning Portals. There are many number of challenges in evaluating the effectiveness of the E-Learning Portals and Knowledge Portals. The primary goal of this paper is to illustrate how a domain independent multi-dimensional metric model and metric database can be built to assess the effectiveness of the Web Based Knowledge and E-Learning Portals.

A KNOWLEDGE-BASED METHOD FOR DERIVING CLASSES AND OBJECTS

1999 ◽  
Vol 08 (02) ◽  
pp. 239-251
Author(s):  
ALAN LIU ◽  
ARTHUR M. D. SHR
Keyword(s):  
Software Development ◽  
Object Oriented ◽  
Development Work ◽  
Software Systems ◽  
Specific Knowledge ◽  
Development Method ◽  
Domain Specific ◽  
Knowledge Based ◽  
Domain Specific Knowledge ◽  
Special Domain

Identifying classes and objects in an object-oriented (OO) software development method requires a great amount of domain-specific knowledge and OO developing experiences to achieve the work. Experienced developers always have heuristic solutions to different problems. However, novice developers have difficulties developing their desired OO software systems. We propose a method that uses a knowledge-based system with the identification knowledge to support developers to obtain classes and objects that are suitable for one special domain problem. With the help of the identification knowledge, the developers can model the system easily and complete the rest of development work quickly.

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