scholarly journals A Method of Ontology Integration for Designing Intelligent Problem Solvers

2019 ◽  
Vol 9 (18) ◽  
pp. 3793 ◽  
Author(s):  
Do ◽  
Nguyen ◽  
Mai
Keyword(s):  
Real World ◽  
Knowledge Integration ◽  
Knowledge Bases ◽  
World Knowledge ◽  
Knowledge Domain ◽  
Ontology Integration ◽  
Knowledge Based ◽  
Ontology Model ◽  
Problem Solvers ◽  
Integrated Knowledge

Nowadays, designing knowledge-based systems which involve knowledge from different domains requires deep research of methods and techniques for knowledge integration, and ontology integration has become the foundation for many recent knowledge integration methods. To meet the requirements of real-world applications, methods of ontology integration need to be studied and developed. In this paper, an ontology model used as the knowledge kernel is presented, consisting of concepts, relationships between concepts, and inference rules. Additionally, this kernel is also added to other knowledge, such as knowledge of operators and functions, to form an integrated knowledge-based system. The mechanism of this integration method works upon the integration of the knowledge components in the ontology structure. Besides this, problems and the reasoning method to solve them on the integrated knowledge domain are also studied. Many related problems in the integrated knowledge domain and the reasoning method for solving them are also studied. Such an integrated model can represent the real-world knowledge domain about operators and functions with high accuracy and effectiveness. The ontology model can also be applied to build knowledge bases for intelligent problem solvers (IPS) in many mathematical courses in college, such as linear algebra and graph theory. These IPSs have great potential in helping students perform better in those college courses.

DATAtourist

2021 ◽  
Vol 13 (2) ◽  
pp. 62-84
Author(s):  
Boudjemaa Boudaa ◽  
Djamila Figuir ◽  
Slimane Hammoudi ◽  
Sidi mohamed Benslimane
Keyword(s):  
Software Engineering ◽  
Knowledge Acquisition ◽  
Software Architecture ◽  
Recommender Systems ◽  
Real World ◽  
Mobile Application ◽  
Knowledge Bases ◽  
User Requirements ◽  
World Knowledge ◽  
Points Of Interest

Collaborative and content-based recommender systems are widely employed in several activity domains helping users in finding relevant products and services (i.e., items). However, with the increasing features of items, the users are getting more demanding in their requirements, and these recommender systems are becoming not able to be efficient for this purpose. Built on knowledge bases about users and items, constraint-based recommender systems (CBRSs) come to meet the complex user requirements. Nevertheless, this kind of recommender systems witnesses a rarity in research and remains underutilised, essentially due to difficulties in knowledge acquisition and/or in their software engineering. This paper details a generic software architecture for the CBRSs development. Accordingly, a prototype mobile application called DATAtourist has been realized using DATAtourisme ontology as a recent real-world knowledge source in tourism. The DATAtourist evaluation under varied usage scenarios has demonstrated its usability and reliability to recommend personalized touristic points of interest.

scholarly journals Entity Alignment between Knowledge Graphs Using Attribute Embeddings

2019 ◽  
Vol 33 ◽  
pp. 297-304 ◽  
Author(s):  
Bayu Distiawan Trisedya ◽  
Jianzhong Qi ◽  
Rui Zhang
Keyword(s):  
Real World ◽  
Graph Embedding ◽  
Knowledge Bases ◽  
Knowledge Graph ◽  
World Knowledge ◽  
Large Numbers ◽  
Proposed Model ◽  
Alignment Task ◽  
Transitivity Rule ◽  
Knowledge Graphs

The task of entity alignment between knowledge graphs aims to find entities in two knowledge graphs that represent the same real-world entity. Recently, embedding-based models are proposed for this task. Such models are built on top of a knowledge graph embedding model that learns entity embeddings to capture the semantic similarity between entities in the same knowledge graph. We propose to learn embeddings that can capture the similarity between entities in different knowledge graphs. Our proposed model helps align entities from different knowledge graphs, and hence enables the integration of multiple knowledge graphs. Our model exploits large numbers of attribute triples existing in the knowledge graphs and generates attribute character embeddings. The attribute character embedding shifts the entity embeddings from two knowledge graphs into the same space by computing the similarity between entities based on their attributes. We use a transitivity rule to further enrich the number of attributes of an entity to enhance the attribute character embedding. Experiments using real-world knowledge bases show that our proposed model achieves consistent improvements over the baseline models by over 50% in terms of hits@1 on the entity alignment task.

Altering the SightPlan knowledge-based systems

1992 ◽  
Vol 6 (1) ◽  
pp. 19-37 ◽  
Author(s):  
I. D. Tommelein ◽  
B. Hayes-Roth ◽  
R. E. Levitt
Keyword(s):  
Problem Solving ◽  
Knowledge Bases ◽  
Knowledge Based Systems ◽  
Knowledge Domain ◽  
Task Knowledge ◽  
Knowledge Based ◽  
Site Layout ◽  
Different Types ◽  
Control Knowledge ◽  
Construction Site Layout

SightPlan refers to several knowledge-based systems that address construction site layout. Five different versions were implemented and their components of expertise are described here. These systems are alterations of one another, differing either in the problems they solve, the problem-solving methods they apply, or the tasks they address. Because they share either control knowledge, domain concepts, or heuristics, and such knowledge is implemented in well-defined modular knowledge bases, these systems could easily re-use parts of one another. Experiments like those presented here may clarify the role played by different types of knowledge during problem solving, enabling researchers to gain a broader understanding of the generality of the domain and task knowledge that is embedded in KBSs and of the power of their systems.

Acquired, transferred and integrated knowledge: a study of M&A knowledge performance

2018 ◽  
Vol 11 (3) ◽  
pp. 282-305 ◽  
Author(s):  
Rachel Calipha ◽  
David M. Brock ◽  
Ahron Rosenfeld ◽  
Dov Dvir
Keyword(s):  
Knowledge Integration ◽  
Theory Model ◽  
Annual Reports ◽  
Content Type ◽  
Knowledge Based ◽  
Before And After ◽  
And Performance ◽  
The Relationship ◽  
Integrated Knowledge

PurposeThe acquisition of knowledge through mergers and acquisition (M&A) may not create value—usually because the knowledge may not be transferred, or transferred but not integrated. The purpose of this paper to develop and test a theoretical model of knowledge and performance in the M&A process.Design/methodology/approachTheory, model and case analysis.FindingsThe literature review led us to distinguish between three main categories of knowledge along the different stages of the M&A process: acquired knowledge in the pre-merger stage; and transferred knowledge and integrated knowledge in the post-merger stage. The application of the model is illustrated in a case study of technology M&A, which includes data collected from annual reports before and after the merger.Research limitations/implicationsThe model recommends acknowledging the differences between the acquired knowledge, transferred knowledge and integrated knowledge when examining the relationship between knowledge and performance in M&As. In addition, the model suggests considering several factors that influence future knowledge integration in the pre-merger stage. Ignoring the three categories and the factors may be the reason for the reports of previous studied stating that the acquisition of knowledge-based resources is associated with negative announcement returns to the acquiring firm.Originality/valueThe paper presents new procedures to measure knowledge, collecting data on R&D employees by using annual reports. In addition, the paper suggests adding “in-process R&D” as an “Acquired Knowledge” measure.

Knowledge Based Engineering in Complicated Product Design

2012 ◽  
Vol 466-467 ◽  
pp. 1135-1139 ◽  
Author(s):  
Jia Li ◽  
Yun Bing Yang ◽  
Fa Yuan Wei
Keyword(s):  
Product Design ◽  
Knowledge Economy ◽  
Knowledge Integration ◽  
Product Data Management ◽  
Product Knowledge ◽  
World Knowledge ◽  
Knowledge Based ◽  
The World ◽  
Knowledge Based Engineering ◽  
Key Techniques

Under the tendency of knowledge economy in the world, knowledge research becomes a hot subject. The analysis about the meanings, categories and characteristics of knowledge is presented at first. The concept and key techniques of Knowledge Based Engineering (KBE) are discussed. The differences and relationships among KBE, Expert System (ES) and CAD/CAE/CAPP/CAM (CAX) Systems are analyzed as well. An example on knowledge-based designing of one complicated product is provided. A product knowledge base is established by analyzing the structure and characteristics of product design knowledge. Product knowledge integration and management is fulfilled using Product Data Management (PDM) and dynamic database technique.

scholarly journals Engineering Knowledge Graph from Patent Database

2021 ◽  
pp. 1-36
Author(s):  
L Siddharth ◽  
Lucienne Blessing ◽  
Kristin L. Wood ◽  
Jianxi Luo
Keyword(s):  
Knowledge Base ◽  
Engineering Design ◽  
Real World ◽  
Knowledge Bases ◽  
Knowledge Graph ◽  
Patent Document ◽  
Engineering Knowledge ◽  
Design Perspective ◽  
Entity Relationship ◽  
Integrated Knowledge

Abstract We propose a large scalable engineering knowledge base as an integrated knowledge graph, comprising sets of (entity, relationship, entity) triples that are real-world engineering ‘facts’ found in the patent database. We apply a set of rules based on the syntactic and lexical properties of claims in a patent document to extract entities and their associated relationships that are supposedly meaningful from an engineering design perspective. Such a knowledge base is expected to support inferencing, reasoning, recalling in various engineering design tasks. The knowledge base has a greater size and coverage in comparison with the previously used knowledge bases in the engineering design literature.

Cyberphysical Design Automation Framework for Knowledge-based Engineering

2013 ◽  
Vol 1 (1) ◽  
pp. 158-178
Author(s):  
Urcun John Tanik
Keyword(s):  
System Design ◽  
Design Process ◽  
Design Automation ◽  
Design Theory ◽  
Knowledge Bases ◽  
Knowledge Based ◽  
Knowledge Based Engineering ◽  
Cyberphysical System ◽  
Automation Framework

Cyberphysical system design automation utilizing knowledge based engineering techniques with globally networked knowledge bases can tremendously improve the design process for emerging systems. Our goal is to develop a comprehensive architectural framework to improve the design process for cyberphysical systems (CPS) and implement a case study with Axiomatic Design Solutions Inc. to develop next generation toolsets utilizing knowledge-based engineering (KBE) systems adapted to multiple domains in the field of CPS design automation. The Cyberphysical System Design Automation Framework (CPSDAF) will be based on advances in CPS design theory based on current research and knowledge collected from global sources automatically via Semantic Web Services. A case study utilizing STEM students is discussed.

An integrated knowledge-based and procedural system for the design of energy conscious buildings

1992 ◽  
Vol 1 (2) ◽  
pp. 123-141 ◽  
Author(s):  
Edna Shaviv ◽  
Yehuda E. Kalay ◽  
Uriel J. Peleg
Keyword(s):  
Knowledge Based ◽  
Integrated Knowledge
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