Collaborative Ontology Construction Research Articles

Collaborative Ontology Construction Framework: An Attempt to Rationalize Effective Knowledge Dissemination

Ontologies are domain rich conceptualizations, which can be utilized for effective knowledge dissemination strategies. Knowledge dissemination plays a vital role in any industry. In this research, novel framework is designed and experimented for the collaborative ontology construction. With the iterative and incremental involvement of the domain specialists and ontologists rational process has been discussed and planned for the collaborative ontology construction. Additionally, existing shortcomings associated with the current ontology construction methodologies and frameworks also have been rigorously reviewed to identify the shortcomings. Henceforth the responses received from the domain specialists and ontologists, along with the gaps located from the literatures have been utilized as the backbone in designing this novel framework. Designed ontology increments have the potential of effective knowledge distribution once it`s coupled with technologies like chatbots. In this research, proposed framework has been deployed in three different domains and three different ontology increments have been created for each domain. Consequently, their efficacy have been tested with the involvement of domain specific stakeholders. Overall results have yielded an 82% of acceptance from the stakeholders.

An Improved Methodology for Collaborative Construction of Reusable, Localized, and Shareable Ontology

Interlocking Institutional Worlds (IWs) is a concept explaining the need to interoperate between institutions (or players), to solve problems of common interest in a given domain. Managing knowledge in the IWs domain is complex; however, promoting knowledge sharing based on standards and common terms agreeable to all players is essential and is something that must be established. In this context, ontologies, as a conceptual tool and a key component of knowledge-based systems, have been used by organizations for effective knowledge management, better decision-making, and interoperability among diverse institutions of an IWs domain. The development of ontology involves structural and logical complexity, and requires a well-designed, mature, and widely accepted methodology, to ensure its reliability. Many methodologies for ontology development have been proposed by several researchers; however, most of the developed methodologies have not included several important phases. Furthermore, several methodologies have not provided the complete details of the techniques and activities involved in the ontology construction process. Fewer details make it difficult to follow a methodology for designing ontologies. This study aims to compare existing methodologies based on sixteen important criteria and proposes an improved methodology for ontology development for IWs domains. The proposed methodology has included several important phases such as the Estimation of Human Resources, Re-engineering and Re-using of Resources, Collaborative Ontology Construction, the Conceptualization of both Endurants and Perdurants, Localization of an Ontology, Ontology Integration and Merging, Support for Interoperability, Versioning of an Ontology, and Ontology Population. The proposed methodology has been applied to design an OntoWM domain ontology for the Waste Management (WM) domain. The evaluation of the proposed methodology has been made by utilizing the designed OntoWM domain ontology in an ontology-based web application called SmartBinAnalytics. SmartBinAnalytics has been built using OntoWM, Java Server Pages (JSP), Jena Application Programming Interface (API), and MySQL. The proposed methodology can be used for the construction of domain ontologies in any IWs domain.

A New Framework for Collaborative Ontology Construction for an Agricultural Domain from Heterogeneous Information Resources

ABSTRACTIn this paper, we present and evaluate a new event-based ontology model and methodology that enables multilingual, domain-specific ontology construction for an agricultural domain by experts and non-expert users. Twenty-six non-expert users were guided to collaboratively populate an ontology and create cross-resource relationships based on expert guidelines and using the developed new graphical tool and data from the existing online agricultural databases. The study's results show that the accuracy of the ontology built using the graphical tool, as well as the non-expert user satisfaction with the tool, was substantially higher than that of the state-of-the-art, collaborative WebProtégé.

Social Support for Ontological Mediation and Data Integration

Most organizations store their data in several databases with no flexible mechanism for integration and access, and with no common vocabulary in place. Maintaining local vocabularies while realizing distributed access is a challenge that most organizations face regularly. For several years, the Semantic Web community has been developing algorithms for mapping data models (ontologies). Nevertheless, ontology mapping remains to be a great challenge, and humans are always expected to verify the results of existing automatic mapping tools. The spread of social web demonstrate the possibility of using collaborative techniques for reaching consensus and fostering user participation. While a number of prototypes for collaborative ontology construction are being developed, collaborative ontology mapping is not yet well investigated. In this article, the authors describe an approach that combines off-the-shelf ontology mapping tools with social software techniques to enable users to collaborate on mapping ontologies.

Community-driven ontology construction in social networking portals

The goal of the work presented here is to introduce community-driven ontology management as a new approach to ontology construction and demonstrate the added value to community portals of being community driven. The three main parts of the work are (i) the development of a framework allowing and motivating collaborative ontology construction and reuse for the end users (a person or a community), (ii) building a prototype on the basis of this specification, namely the People's portal, and (iii) the application of the developed infrastructure to scenarios in semantically-enhanced community portals with the involvement of real users. The development of the framework for community-driven ontology construction is aimed at enriching the established practices for ontology development and population with community-supporting features. The objective of community-driven ontology management is to provide the means and motivations for a large number of users to “weave” and adopt the Semantic Web. The People's portal infrastructure allows end users to define the content structure (i.e., develop ontologies), to populate ontologies, and to define the ways in which the content is managed on various semantically-enhanced community portals where the infrastructure is applied. An analysis of the functionalities of existing (Semantic) Web community environments and the empirical results obtained in this work are indicative of its feasibility and of the advantages of community-driven ontology construction. In practice, the communities were capable of introducing on the community portals such ontology items as Classes, Subclasses, Properties, Instances, ontology mappings, and of reusing these items afterwards.

APECKS: using and evaluating a tool for ontology construction with internal and external KA support

This paper describes Adaptive Presentation Environment for Collaboration Knowledge Structuring (APECKS), an experimental tool for collaborative ontology construction. APECKS takes a different line to most ontology servers, in that it is designed for use by domain experts, possibly in the absence of a knowledge engineer, and its aim is to foster and support debate about domain ontologies. To that end, it does not enforce ideals of consistency or correctness, and instead allows different conceptualizations of a domain to coexist. The system architecture and life cycle are introduced, and three extensive scenarios are outlined, showing how APECKS supports ontology construction, learning, ontology comparison and discussion. APECKS has also been used by several subjects during an evaluation experiment, and the results of this experiment are described. A particular factor about APECKS is that, as well as providing internal KA support, it is designed to interface with web-accessible KA tools, thereby allowing theoretically unlimited KA support for users. The prototype used WebGrid-II as external KA support, and the issues involved in integrating APECKS and WebGrid are discussed in detail.