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Article

Dongmei Han, Wen Wang, Suyuan Luo, Weiguo Fan and Songxin Wang

This paper aims to apply vector space model (VSM)-PCR model to compute the similarity of Fault zone ontology semantics, which verified the feasibility and effectiveness of

Abstract

Purpose

This paper aims to apply vector space model (VSM)-PCR model to compute the similarity of Fault zone ontology semantics, which verified the feasibility and effectiveness of the application of VSM-PCR method in uncertainty mapping of ontologies.

Design/methodology/approach

The authors first define the concept of uncertainty ontology and then propose the method of ontology mapping. The proposed method fully considers the properties of ontology in measuring the similarity of concept. It expands the single VSM of concept meaning or instance set to the “meaning, properties, instance” three-dimensional VSM and uses membership degree or correlation to express the level of uncertainty.

Findings

It provides a relatively better accuracy which verified the feasibility and effectiveness of VSM-PCR method in treating the uncertainty mapping of ontology.

Research limitations/implications

The future work will focus on exploring the similarity measure and combinational methods in every dimension.

Originality/value

This paper presents an uncertain mapping method of ontology concept based on three-dimensional combination weighted VSM, namely, VSM-PCR. It expands the single VSM of concept meaning or instance set to the “meaning, properties, instance” three-dimensional VSM. The model uses membership degree or correlation which is used to express the degree of uncertainty; as a result, a three-dimensional VSM is obtained. The authors finally provide an example to verify the feasibility and effectiveness of VSM-PCR method in treating the uncertainty mapping of ontology.

Details

Information Discovery and Delivery, vol. 46 no. 2
Type: Research Article
ISSN: 2398-6247

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Article

Sudarsana Desul, Madurai Meenachi N., Thejas Venkatesh, Vijitha Gunta, Gowtham R. and Magapu Sai Baba

Ontology of a domain mainly consists of a set of concepts and their semantic relations. It is typically constructed and maintained by using ontology editors with…

Abstract

Purpose

Ontology of a domain mainly consists of a set of concepts and their semantic relations. It is typically constructed and maintained by using ontology editors with substantial human intervention. It is desirable to perform the task automatically, which has led to the development of ontology learning techniques. One of the main challenges of ontology learning from the text is to identify key concepts from the documents. A wide range of techniques for key concept extraction have been proposed but are having the limitations of low accuracy, poor performance, not so flexible and applicability to a specific domain. The propose of this study is to explore a new method to extract key concepts and to apply them to literature in the nuclear domain.

Design/methodology/approach

In this article, a novel method for key concept extraction is proposed and applied to the documents from the nuclear domain. A hybrid approach was used, which includes a combination of domain, syntactic name entity knowledge and statistical based methods. The performance of the developed method has been evaluated from the data obtained using two out of three voting logic from three domain experts by using 120 documents retrieved from SCOPUS database.

Findings

The work reported pertains to extracting concepts from the set of selected documents and aids the search for documents relating to given concepts. The results of a case study indicated that the method developed has demonstrated better metrics than Text2Onto and CFinder. The method described has the capability of extracting valid key concepts from a set of candidates with long phrases.

Research limitations/implications

The present study is restricted to literature coming out in the English language and applied to the documents from nuclear domain. It has the potential to extend to other domains also.

Practical implications

The work carried out in the current study has the potential of leading to updating International Nuclear Information System thesaurus for ontology in the nuclear domain. This can lead to efficient search methods.

Originality/value

This work is the first attempt to automatically extract key concepts from the nuclear documents. The proposed approach will address and fix the most of the problems that are existed in the current methods and thereby increase the performance.

Details

The Electronic Library, vol. 37 no. 1
Type: Research Article
ISSN: 0264-0473

Keywords

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Article

Yonca Hurol

This study aims to define the main characteristics and possibilities of ontological approaches to research in architecture by considering content, methodologies and…

Abstract

Purpose

This study aims to define the main characteristics and possibilities of ontological approaches to research in architecture by considering content, methodologies and subject position in this type of research and questions if there is a future for this type of research or not.

Design/methodology/approach

The primary data collection method of this research is based on the ethos of the author who has taught research courses for many years. This research has also been questioned through the discussions made within a related PhD course.

Findings

Results of this research reveal that the spontaneous ideology of architecture might have influenced the neglection of the ontological approaches in academic research in architecture.

Social implications

Architecture has an interesting position towards reductionism because architectural thinking has ontological characteristics. The ontological approaches to academic research seems to be more applicable to architecture. However, research in architecture does not necessarily have this ontological character.

Originality/value

The “ontological approach to academic research” covers a larger set of research than the method of ontology, which is used to discuss the categories, limitations in research. Thinking on ontological approaches to research is needed because there is a considerable increase in the use of mixed research methods, which combine qualitative and quantitative research. The second reason for this is the criticisms about the unethical reductionism directed towards contemporary science by philosophers. However, there is no sufficient literature on the ontological approaches to research. This is true also for the academic research in architecture.

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Article

Junwu Zhu, Jiandong Wang and Bin Li

The purpose of this paper is to integrate distributed ontologies on the web system and clarify the structure of the integrated one.

Abstract

Purpose

The purpose of this paper is to integrate distributed ontologies on the web system and clarify the structure of the integrated one.

Design/methodology/approach

A formal method based on concept lattices is introduced as a mechanism to form more general semantic level. By checking the extension and the intension of concept, this method extracts the concept pairs satisfying inclusion relations from descartes' set of concepts in distributed ontologies first, and then constructs a concept lattice according to these concept pairs. An algorithm to reduce redundant relations is also proposed to clarify the structure of integrated ontology.

Findings

The experiments demonstrate the effectiveness of the proposed method to reduce redundant relations, and the Nir‐to‐Ncr ratio inclines to 1.05 from 3.13.

Research limitations/implications

Instances of certain concept are not given completely on the web, so it is difficult to check extension of different concepts.

Practical implications

A very useful method of integrating distributed ontologies on the web.

Originality/value

Compared with existing methods, this formal method can be performed by program automatically without any human intervening, and can extract the inclusion relations between concepts from distributed ontologies completely.

Details

Kybernetes, vol. 38 no. 10
Type: Research Article
ISSN: 0368-492X

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Article

Chao Wang, Jie Lu and Guangquan Zhang

Matching relevant ontology data for integration is vitally important as the amount of ontology data increases along with the evolving Semantic web, in which data are…

Abstract

Purpose

Matching relevant ontology data for integration is vitally important as the amount of ontology data increases along with the evolving Semantic web, in which data are published from different individuals or organizations in a decentralized environment. For any domain that has developed a suitable ontology, its ontology annotated data (or simply ontology data) from different sources often overlaps and needs to be integrated. The purpose of this paper is to develop intelligent web ontology data matching method and framework for data integration.

Design/methodology/approach

This paper develops an intelligent matching method to solve the issue of ontology data matching. Based on the matching method, it also proposes a flexible peer‐to‐peer framework to address the issue of ontology data integration in a distributed Semantic web environment.

Findings

The proposed matching method is different from existing data matching or merging methods applied to data warehouse in that it employs a machine learning approach and more similarity measurements by exploring ontology features.

Research limitations/implications

The proposed method and framework will be further tested for some more complicated real cases in the future.

Originality/value

The experiments show that this proposed intelligent matching method increases ontology data matching accuracy.

Details

International Journal of Web Information Systems, vol. 5 no. 2
Type: Research Article
ISSN: 1744-0084

Keywords

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Article

Evangelia Triperina, Georgios Bardis, Cleo Sgouropoulou, Ioannis Xydas, Olivier Terraz and Georgios Miaoulis

The purpose of this paper is to introduce a novel framework for visual-aided ontology-based multidimensional ranking and to demonstrate a case study in the academic domain.

Abstract

Purpose

The purpose of this paper is to introduce a novel framework for visual-aided ontology-based multidimensional ranking and to demonstrate a case study in the academic domain.

Design/methodology/approach

The paper presents a method for adapting semantic web technologies on multiple criteria decision-making algorithms to endow to them dynamic characteristics. It also showcases the enhancement of the decision-making process by visual analytics.

Findings

The semantic enhanced ranking method enables the reproducibility and transparency of ranking results, while the visual representation of this information further benefits decision makers into making well-informed and insightful deductions about the problem.

Research limitations/implications

This approach is suitable for application domains that are ranked on the basis of multiple criteria.

Originality/value

The discussed approach provides a dynamic ranking methodology, instead of focusing only on one application field, or one multiple criteria decision-making method. It proposes a framework that allows integration of multidimensional, domain-specific information and produces complex ranking results in both textual and visual form.

Details

Data Technologies and Applications, vol. 52 no. 3
Type: Research Article
ISSN: 2514-9288

Keywords

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Article

Ivan Luiz Salvadori, Alexis Huf, Bruno C.N. Oliveira, Ronaldo dos Santos Mello and Frank Siqueira

This paper aims to propose a method based on Linked Data and Semantic Web principles for composing microservices through data integration. Two frameworks that provide…

Abstract

Purpose

This paper aims to propose a method based on Linked Data and Semantic Web principles for composing microservices through data integration. Two frameworks that provide support for the proposed composition method are also described in this paper: Linkedator, which is responsible for connecting entities managed by microservices, and Alignator, which aligns semantic concepts defined by heterogeneous ontologies.

Design/methodology/approach

The proposed method is based on entity linking principles and uses individual matching techniques considering a formal notion of identity. This method imposes two major constraints that must be taken into account by its implementation: architectural constraints and resource design constraints.

Findings

Experiments were performed in a real-world scenario, using public government data. The obtained results show the effectiveness of the proposed method and that, it leverages the independence of development and composability of microservices. Thereby, the data provided by microservices that adopt heterogeneous ontologies can now be linked together.

Research limitations/implications

This work only considers microservices designed as data providers. Microservices designed to execute functionalities in a given application domain are out of the scope of this work.

Originality/value

The proposed composition method exploits the potential data intersection observed in resource-oriented microservice descriptions, providing a navigable view of data provided by a set of interrelated microservices. Furthermore, this study explores the applicability of ontology alignments for composing microservices.

Details

International Journal of Web Information Systems, vol. 13 no. 3
Type: Research Article
ISSN: 1744-0084

Keywords

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Article

Hui Jiang, Jianjun Yi, Xiaomin Zhu and Zhao Li

This paper aims to develop methods for generating disassembly tasks for selective disassembly. The disassembly task contains the disassembly information, namely…

Abstract

Purpose

This paper aims to develop methods for generating disassembly tasks for selective disassembly. The disassembly task contains the disassembly information, namely, disassembly direction, disassembly tool and selective disassembly sequence.

Design/methodology/approach

Ontology is adopted to represent the product, and ontology rules are used to represent the disassembly knowledge. A product ontology model (POM) is introduced on the basis of material, connection matrix and interference matrix. Two types of disassembly knowledge are taken into account, one is the disassembly knowledge of disassembly tool selection and the other is the disassembly knowledge of special connections. Based on the POM and the disassembly knowledge, decision support methods are designed to generate disassembly tasks.

Findings

A centrifugal pump is used to demonstrate the proposed methods, and the result shows that the methods work well.

Research limitations/implications

The methods developed in this study are fundamental approaches. The ontology and the ontology rules can be extended with more disassembly knowledge.

Originality/value

The main contribution of this research is the development of methods for representing disassembly knowledge based on ontology rules and the decision support methods for generating disassembly tasks.

Details

Assembly Automation, vol. 38 no. 2
Type: Research Article
ISSN: 0144-5154

Keywords

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Article

Chi‐Lun Liu

This paper aims to manage access control tasks to satisfy the user privacy needs of online information resources according to social relations and tags.

Abstract

Purpose

This paper aims to manage access control tasks to satisfy the user privacy needs of online information resources according to social relations and tags.

Design/methodology/approach

The study proposes a method for access control management in the online social context. The proposed method includes the access control policy management process, metadata of access control policies, the data of ontologies, tags, and social relations, and conflict detection rules.

Findings

Online information sharing and hiding, which needs to consider social relations and mentioned topics, is a unique context and needs a novel access control mechanism. Ontologies are powerful and expressive enough to identify conflicts in access control policies. The paper provides a method using ontologies to control the access control activities based on social relations and tags on web content. The effectiveness of the method's conflict detection rules is validated through several scenarios.

Research limitations/implications

To make the proposed method suitable for widespread usage, further work is required to develop an access control policy specification and conflict detection tool. The proposed method introduces relatively novel usage scenarios, which consider social relationships, and tags compared with existing access control methods for online information sharing.

Practical implications

The proposed access control mechanism can be integrated into existing web sites. Online users can use this method to share information more easily than at present.

Originality/value

The method enables flexible access control in social contexts and handles unavoidable conflicts. It also opens the way to new access control scenarios in online social activities. The method can be used to keep secrets hidden from selected people.

Details

Online Information Review, vol. 34 no. 3
Type: Research Article
ISSN: 1468-4527

Keywords

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Article

Fan Yu, Junping Qiu and Wen Lou

This paper aims to solve the disadvantages of content-based domain ontology (CBDO) and metadata-based domain ontology (MDO) and improve organization and discovery…

Abstract

Purpose

This paper aims to solve the disadvantages of content-based domain ontology (CBDO) and metadata-based domain ontology (MDO) and improve organization and discovery efficiency of library resources by resource ontology (RO).

Design/methodology/approach

The paper constructed an RO model. Methods of informetrics are utilized to reveal semantic relationships among library resources. Methods of ontology, ontology-relational database mapping (O-R mapping) and relational database modelling are utilized to construct RO. Take author co-occurrence for example, the paper demonstrated the capability of RO model.

Findings

RO not only revealed the deep-level semantic relationships of metadata of library resources but also realized totally computer-automated processing. RO improved the efficiency of knowledge organization and discovery.

Research limitations/implications

Semantic relationships revealed by RO are limited to simple metadata, which makes it difficult to reveal fine-grained semantic relationships. Ongoing research focuses on the revelation of semantic relationships based on the title and abstract.

Practical implications

The paper includes implications for utilizing methods of Informetrics to construct ontology.

Originality/value

This paper proposed a standardized process of ontology construction in library resources. It may be of potential interest for anyone who needs to effectively organize library resources.

Details

The Electronic Library, vol. 32 no. 3
Type: Research Article
ISSN: 0264-0473

Keywords

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