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Management and integration of virtual enterprise information on grid spaces through semantic web ontologies
Published in Manuel Martínez, Raimar Scherer, eWork and eBusiness in Architecture, Engineering and Construction, 2020
A. Gehre, P. Katranuschkov, R.J. Scherer
Such content description standards can ensure semantic interoperability if an ontology that suffices a set of basic features is established, in accordance with the following definition based on (Gruber 1993): “An ontology is a formal, explicit specification of a shared conceptualization.” In this extended form of Gruber’s initial definition formal means that the ontology should be machine readable (and interpretable), explicit means that it contains clear, unambiguous, assertive definitions of concept types and constraints modelling the targeted domain of discourse, and shared means that it is used to define a common standard in that domain. The term conceptualization refers to the objects, concepts and other entities that are presumed to exist in the domain of interest and the relationships that hold between them (Genesereth & Nilsson 1987).
MAID: A Knowledge-Based Support System for Multivariable Control System Design
Published in Derek A. Linkens, CAD for Control Systems, 2020
In this section, we shall describe the states in the development of MAID. The process of transferring knowledge from experts, books, and examples into a KBS is referred to as knowledge acquisition. The knowledge acquisition life cycle has been discussed by numerous workers, notably by Buchanan et al. [8]. The main stages are considered to be: Identification involves identifying domain characteristics, proposed users, and type of assistance to be provided by the KBS to users.Conceptualization involves defining, in a high-level form, the main domain concepts and problem-solving strategies. This knowledge must also be partitioned and hierarchically organized.Formalization involves developing a formal description of the concepts and strategies defined during the conceptualization phase.Implementation involves implementing the knowledge in the form of a KBS.Testing involves testing and revising the KBS as required.
Information Retrieval and Semantic Search
Published in Anuradha D. Thakare, Shilpa Laddha, Ambika Pawar, Hybrid Intelligent Systems for Information Retrieval, 2023
Anuradha D. Thakare, Shilpa Laddha, Ambika Pawar
Ontology, which is defined as a specification of conceptualization, is one of the most important concepts used in semantic retrieval [5]. Originally, the term ontology was used to refer to the philosophical study of the meaning of existences. Ontology is a perspective of a domain in the semantic sense. It fulfills critical functions by defining domain-specific restricted vocabularies. A semantic ontology can simply be a simple conceptual structure with natural language names for concept types and relationships. The ontology might also be developed as a formal semantic account of the domain with concept types and their relations systematically defined.
Ecosystems in construction management and urban development: a comprehensive review of conceptualizations and contributions
Published in Construction Management and Economics, 2023
Second, the review is a confirmatory and concept-centric review (Webster and Watson 2002), meaning that the review confirms how concepts are used in literature. Confirmatory reviews can bring clarity to the use of concepts by focusing on the chosen conceptualizations, i.e. operationalizations, and the context in which concepts are used. A focus on conceptualizations represents a view in which concepts are considered as entities themselves. The latter view, a dispositional view of concepts (Baldwin 2008), emphasizes the meaning of concepts in use. Awareness of this distinction is relevant as the application of concepts vary in different research fields and borrowing of concepts from one context to another requires an understanding of both the concepts and the contexts of use. This is to say that theoretical concepts have an origin, and that application of concepts may change the meaning of concepts. Furthermore, a confirmatory review on an emerging research topic can help to consolidate knowledge and therefore create a solid foundation for further research (e.g. Webster and Watson 2002, Snyder 2019, Granstrand and Holgersson 2020).
Business-Driven Data Recommender System: Design and Implementation
Published in Journal of Computer Information Systems, 2023
Sarah Pinon, Corentin Burnay, Isabelle Linden
Ontologies are formal and explicit specifications of conceptualizations.17 These semantic systems represent concepts, relations, instances, and axioms in a way that is machine and human-readable.34 The relevance of using these particular semantic systems in our framework is twofold. First, ontologies are suitable to visualize, in a structured and formal way, the different data fields types and their relations. Secondly, the ontologies ontologies within recommender systems solves several barriers encountered by traditional systems,35 as further developed in the “Artifact 2 - Hybrid Data Recommender Engine Architecture” Section.