Towards a Conceptual Modelling of Ontologies (original) (raw)
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Ontology Creation and Development Model
International Journal of Innovative Research in Computer and Communication Engineering, 2014
The continuing need for effective information retrieval, paved way for the inception of semantic web. It’s, unquestionably, as extension to the existing web which holds distributed information lacking any logical relationships amongst themselves. This information can be integrated and related to each other using ontologies. The paper intends to bridge this gap by providing a brief idea of ontology creation and how can it help in implementation of semantic web. The paper has threefold objective. Firstly the paper provides multiple definitions of ontology and their relation with in semantic web. Secondly the paper briefly provides a comparison of several ontology development tools justifies the use of a particular ontology tool. Lastly the paper proposes an ontology on data structures.
Ontologies (as knowledge organization systems)
ISKO Encyclopedia of Knowledge Organization 31 August 2020, 2020
This contribution presents the principal features of ontologies, drawing special attention to the comparison between ontologies and the different kinds of knowledge organization systems (KOS). The focus is on the semantic richness exhibited by ontologies, which allows the creation of a great number of relationships between terms. That establishes ontologies as the most evolved type of KOS. The concepts of “conceptualization” and “formalization” and the key components of ontologies are described and discussed, along with upper and domain ontologies and special typologies, such as bibliographical ontologies and biomedical ontologies. The use of ontologies in the digital libraries environment, where they have replaced thesauri for query expansion in searching, and the role they are playing in the Semantic Web, especially for semantic interoperability, are sketched. Available at https://www.isko.org/cyclo/ontologies
Domain-Based Ontology Architecture
Ontologies are used for enhancement of explicit semantic information of data sources. We can establish a consensus between communities and resolve semantic heterogeneity conflicts between data sources through ontology. The reason ontologies are becoming so popular is in large part due to what they promise: a shared and common understanding of some domain that can be communicated between people and application systems. The creation of the ontology is a major issue in use of ontology. In order to create an ontology we need to extract all detailed specifications from the domain conceptualization, modeling these specifications based on a data model and formalizing these based on a formal language. Most ontologies are related to a specific domain area (such as university, music, movie, and so on) and thhee use of a particular vocabulary related to the domain area. We call these ontologies as domain-based ontology. In this paper we introduce a model for representing of domain-based ontologies. Subsequently we build an University ontology as a domainbased ontology, based on our proposed model. Finally we propose domain-based ontology architecture as an efficient approach in ontology-based data integration.
Procedia Computer Science, 2021
The paper considers a purpose and features of ontologies use in describing of subject area, both from a theoretical and an applied point of view. Criteria for identifying ontologies types are indicated. Based on cognition schematism principles, a knowledge representation ontologies system has been developed, that combines language, forms of knowledge representation and process schemes. It is shown that it is exactly such a system of ontologies makes it possible for the practical use of ontologies in computing environments.
2000
A methodology of ontology design and a computer system supporting ontology design are needed. Our research goals include a methodology for ontology design and developing an environment for building and using ontologies. Although several systems for building ontologies have been implemented, they do not consider enough ontological theory. We discuss how to apply the "role-concept" and "relationship" in our environment, named Hozo, for creating and using ontologies. We present the architecture, functionalities of its modules, its interface and the different possibilities for the design and use of ontologies. * We coined this term to represent our original idea of "the whole". ** "Ho" is a Japanese word and means unchanged truth, laws or rules in Japanese, and we represent "ontologies" by the word. "Zo" means to build in Japanese. Language management system Ontology Server Clients (other agents) building / browsing Ontology Editor Ontology/ model authors Models Ontologies Ontologies reference / install management of ontologies and models Onto-Studio (a guide system for ontology design) support support
An ontology-based framework for representing organizational knowledge
2005
This paper describes an ontology-based organizational knowledge representation framework focused on the specification of a two kinds of ontologies: the top level ontology containing concepts characterizing the typical organizational background and COKE ontologies representing so called core organizational knowledge entities. The framework constitutes an abstract representation of organizational knowledge providing a semantic support for designing knowledge management infrastructure able to interoperate with systems already existing in an organization. Moreover, the annotation of COKE w.r.t. the top level ontology allowed by the framework facilitates their semi-automatic handling, retrieval and evolution monitoring.
The Role of Foundational Ontologies for Conceptual Modeling and Domain Ontology Representation
In recent years, there has been a growing interest in the development and use of domain ontologies, strongly motivated by the Semantic Web initiative. However, as we demonstrate in this paper, an approach for ontology representation uniquely based on the modeling languages adopted in the Semantic Web is insufficient to address a number of semantic interoperability problems that arise in concrete application scenarios. The main objective of this paper is to advocate in favor of an approach for conceptual modeling, in general, and domain ontology representation, in particular, in which lightweight modeling languages such as OWL and standard UML are complemented by modeling languages and methodologies based on theoretically principled Foundational Ontologies.
Ontology-Centric Knowledge Organization
Abstract In this paper, we introduce ontology-centric knowledge organization approach to build engineering knowledge base systems. Ontology is an intermediate level of information representation between the model and the media level representations. They also work to bridge multiple models and multiple users. In order to realize knowledge base systems based on this approach, we investigated ontologies from two points of view. One is how to formalize ontologies that can represent multiple de nitions for concepts.
Ontological Framework for Semantic Web
— The web in today's era is an remarkable triumph due to the proliferating number of users and sources of information. However, the increasing complexity of the web is not reflected in the present-day state of Web technology. The load of gaining access to, extracting relevant information, interpretation and upholding is left to the human (user end).The Semantic Web should structure the content of web pages so that information is also structured in well-defined manner. Ontology structuring techniques is good choice to structure and model problem. It provides proper conceptualization of a domain that is communal to group of people. Ontology is basically representation of domain based theory or information in view of their semantics. Thus ontology is basically a structure or framework which underlies and enables machine understanding. The paper discusses ontology in context of semantic web.
Towards an Ontology for Conceptual Modeling
2011
Abstract. Conceptual modeling can be viewed as a way of expressing human understanding of a body of knowledge. This view can be viewed as distinct from standard notions of data modeling and ontology, which seek to directly describe data and reality. We define our notion of conceptual interoperability, give use cases and requirements for it, and introduce the Conceptual Model Ontology (CMO), which satisfies the discussed use cases and requirements.