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Article
Publication date: 12 June 2019

Xuhui Li, Yanqiu Wu, Xiaoguang Wang, Tieyun Qian and Liang Hong

The purpose of this paper is to explore a semantics representation framework for narrative images, conforming to the image-interpretation process.

Abstract

Purpose

The purpose of this paper is to explore a semantics representation framework for narrative images, conforming to the image-interpretation process.

Design/methodology/approach

This paper explores the essential features of semantics evolution in the process of narrative images interpretation. It proposes a novel semantics representation framework, ESImage (evolution semantics of image) for narrative images. ESImage adopts a hierarchical architecture to progressively organize the semantic information in images, enabling the evolutionary interpretation under the support of a graph-based semantics data model. Also, the study shows the feasibility of this framework by addressing the issues of typical semantics representation with the scenario of the Dunhuang fresco.

Findings

The process of image interpretation mainly concerns three issues: bottom-up description, the multi-faceted semantics representation and the top-down semantics complementation. ESImage can provide a comprehensive solution for narrative image semantics representation by addressing the major issues based on the semantics evolution mechanisms of the graph-based semantics data model.

Research limitations/implications

ESImage needs to be combined with machine learning to meet the requirements of automatic annotation and semantics interpretation of large-scale image resources.

Originality/value

This paper sorts out the characteristics of the gradual interpretation of narrative images and has discussed the major issues in its semantics representation. Also, it proposes the semantic framework ESImage which deploys a flexible and sound mechanism to represent the semantic information of narrative images.

Details

The Electronic Library , vol. 37 no. 3
Type: Research Article
ISSN: 0264-0473

Keywords

Article
Publication date: 1 December 1998

David G. Schwartz

Examines the use of shared semantics information to link concepts in an organizational memory to e‐mail communications. E‐mail is by far the dominant business application…

598

Abstract

Examines the use of shared semantics information to link concepts in an organizational memory to e‐mail communications. E‐mail is by far the dominant business application of the Internet, yet the use of e‐mail relies on a number of assumptions regarding the effectiveness of interpersonal communications. One of these assumptions is that of common meaning or shared semantics. Assuming shared semantics in electronic communications can lead to a breakdown in communication, and the very managerial improvements that e‐mail is intended to foster can be negated by the resultant lack of understanding. In this paper how shared semantics are created, maintained, and used to enhance e‐mail communications is discussed. A framework for determining shared semantics based on organizational and personal user profiles is presented. How shared semantics are used by the HyperMail system to help link OM content to e‐mail messages is illustrated.

Details

Internet Research, vol. 8 no. 5
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 28 June 2021

Francisco X. Morales

In a context of critical transition such as the COVID-19 pandemic, moral semantics take a prominent role as a form of self-description of society. However, they are not…

Abstract

Purpose

In a context of critical transition such as the COVID-19 pandemic, moral semantics take a prominent role as a form of self-description of society. However, they are not usually observed, but rather assumed as self-evident and necessarily “good.” The purpose of the article is to summarize the theory of morality from the social systems' perspective and illustrate with concrete examples the polemogenous nature of moral communication.

Design/methodology/approach

This article presents an analysis of the role of morality in the context of the COVID-19 pandemic, from the perspective of Niklas Luhmann’s social systems theory. Applying the method of second-order observation, it describes three cases of moral semantics disseminated via mass media and social media, and it examines their connection with the structural situation of subsystems of society during the pandemic crisis (particularly healthcare, politics and science).

Findings

Second-order observation of moral communication demonstrates to be fruitful to describe the conditions and consequences in which moralization of communication occurs, particularly in a situation of critical transition around the healthcare crisis. The three examples examined, namely, the hero semantics directed to healthcare workers, the semantics of indiscipline and the controversies around pseudo-sciences and conspiracy theories, show how they are based on social attribution of esteem and disesteem, how they try to answer to troublesome situations and contradictions that seem difficult to cope, and how they are close related to the emergence of conflicts, even when they seem positive oriented and well intentioned.

Originality/value

This paper is an attempt to test the usefulness of Luhmann's theory of society to understand the ongoing COVID-19 crisis and particularly the role of moral communication in concrete examples.

Details

Kybernetes, vol. 51 no. 5
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 10 April 2017

Kamal Hamaz and Fouzia Benchikha

With the development of systems and applications, the number of users interacting with databases has increased considerably. The relational database model is still…

371

Abstract

Purpose

With the development of systems and applications, the number of users interacting with databases has increased considerably. The relational database model is still considered as the most used model for data storage and manipulation. However, it does not offer any semantic support for the stored data which can facilitate data access for the users. Indeed, a large number of users are intimidated when retrieving data because they are non-technical or have little technical knowledge. To overcome this problem, researchers are continuously developing new techniques for Natural Language Interfaces to Databases (NLIDB). Nowadays, the usage of existing NLIDBs is not widespread due to their deficiencies in understanding natural language (NL) queries. In this sense, the purpose of this paper is to propose a novel method for an intelligent understanding of NL queries using semantically enriched database sources.

Design/methodology/approach

First a reverse engineering process is applied to extract relational database hidden semantics. In the second step, the extracted semantics are enriched further using a domain ontology. After this, all semantics are stored in the same relational database. The phase of processing NL queries uses the stored semantics to generate a semantic tree.

Findings

The evaluation part of the work shows the advantages of using a semantically enriched database source to understand NL queries. Additionally, enriching a relational database has given more flexibility to understand contextual and synonymous words that may be used in a NL query.

Originality/value

Existing NLIDBs are not yet a standard option for interfacing a relational database due to their lack for understanding NL queries. Indeed, the techniques used in the literature have their limits. This paper handles those limits by identifying the NL elements by their semantic nature in order to generate a semantic tree. This last is a key solution towards an intelligent understanding of NL queries to relational databases.

Details

Journal of Enterprise Information Management, vol. 30 no. 3
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 3 August 2010

Hongmin Zhu, Dianliang Wu and Xiumin Fan

The purpose of this paper is to develop a modeling and interactive operating method for virtual assembly (VA) to support assembly process generation based on interactive operation.

Abstract

Purpose

The purpose of this paper is to develop a modeling and interactive operating method for virtual assembly (VA) to support assembly process generation based on interactive operation.

Design/methodology/approach

This paper puts forward an assembly semantic modeling method for interactive assembly and process generation after the analysis on requirements of operation process generation. Based on this semantic model, methods for semantic generation, semantic processing and assembly motion extraction from interactive operation are presented. Partial process generation of auto engine is proposed to verify the approaches in this paper.

Findings

The application shows that assembly semantic modeling and operating methods can support process generation based on VA operations.

Originality/value

The approaches presented in this paper improve the efficiency of assembly process, making assembly process intuitive and natural.

Details

Assembly Automation, vol. 30 no. 3
Type: Research Article
ISSN: 0144-5154

Keywords

Article
Publication date: 25 July 2019

Zhoupeng Han, Rong Mo, Haicheng Yang and Li Hao

Three-dimensional computer-aided design (CAD) assembly model has become important resource for design reuse in enterprises, which implicates plenty of design intent…

Abstract

Purpose

Three-dimensional computer-aided design (CAD) assembly model has become important resource for design reuse in enterprises, which implicates plenty of design intent, assembly intent, design experience knowledge and functional structures. To acquire quickly CAD assembly models associated with specific functions by using product function requirement information in the product conceptual design phase for model reuse, this paper aims to find an approach for structure-function correlations analysis and functional semantic annotation of mechanical CAD assembly model before functional semantic-based assembly retrieval.

Design/methodology/approach

An approach for structure-function correlations analysis and functional semantic annotation of CAD assembly model is proposed. First, the product knowledge model is constructed based on ontology including design knowledge and function knowledge. Then, CAD assembly model is represented by part attributed adjacency graph and partitioned into multiple functional regions. Assembly region and flow-activity region are defined for structure-function correlations analysis of CAD assembly model. Meanwhile, the extraction process of assembly region and flow-activity region is given in detail. Furthermore, structure-function correlations analysis and functional semantic annotation are achieved by considering comprehensively assembly structure and assembled part shape structure in CAD assembly model. After that, a structure-function relation model is established based on polychromatic sets for expressing explicitly and formally relationships between functional structures, assembled parts and functional semantics.

Findings

The correlation between structure and function is analyzed effectively, and functional semantics corresponding to structures in CAD assembly model are labeled. Additionally, the relationships between functional structures, assembled parts and functional semantics can be described explicitly and formally.

Practical implications

The approach can be used to help designers accomplish functional semantic annotation of CAD assembly models in model repository, which provides support for functional semantic-based CAD assembly retrieval in the product conceptual design phase. These assembly models can be reused for product structure design and assembly process design.

Originality/value

The paper proposes a novel approach for structure-function correlations analysis and functional semantic annotation of mechanical CAD assembly model. Functional structures in assembly model are extracted and analyzed from the point of view of assembly structure and function part structure. Furthermore, the correlation relation between structures, assembled parts and functional semantics is expressed explicitly and formally based on polychromatic sets.

Details

Assembly Automation, vol. 39 no. 4
Type: Research Article
ISSN: 0144-5154

Keywords

Open Access
Book part
Publication date: 4 May 2018

Nurlaila, Syahron Lubis, Tengku Sylvana Sinar and Muhizar Muchtar

Purpose – This paper is aimed at describing semantics equivalence of cultural terms in meurukon texts translated from Acehnese into Indonesian. A qualitative descriptive…

Abstract

Purpose – This paper is aimed at describing semantics equivalence of cultural terms in meurukon texts translated from Acehnese into Indonesian. A qualitative descriptive approach is used to analyze the context of semantics equivalence in these texts: varied semantics structure, especially the ones caused by the cultural gap between the two languages.

Design/Methodology/Approach – This research is designed to be of qualitative descriptive nature, wherein data are documented and analyzed using various methods proposed by Miles, Huberman, and Saldana (2014), such as data condensation, data display, drawing and verifying conclusions. The researcher is considered the key instrument in the whole process. The source of the data collected is from meurukon texts and its translation that consists of 623 sentences: they mainly comprise words and phrases that contain semantics equivalence of cultural terms.

Findings – The result of the research shows that there are 129 cultural terms found in 623 sentences. Of the analyzed data, it is seen that only 16.66% of the data is not equivalent with the target text, while 83.34% words and phrases of meurukon text are equivalent. This suggests that as a result of translation, the meurukon text has high semantics or lexical equivalences with the target text.

Research Limitations/Implications – This research is focused on semantics equivalence found in meurukon texts. The semantic equivalence here only pertains to lexical meaning of nouns and adjectives by using componential analysis.

Practical Implications – The result can be used in a sample of ways for the analysis of semantics equivalence of cultural terms in meurukon text translated from Acehnese into Indonesian using componential analysis.

Originality/Value – This research identifies meurukon as an oral tradition of Acehnese culture, which is in the question and answer format about Islamic law in Aceh, specifically North Aceh.

Details

Proceedings of MICoMS 2017
Type: Book
ISBN:

Keywords

Article
Publication date: 14 October 2013

Ahmed Elragal and Nada El-Gendy

Trajectory is the path a moving object takes in space. To understand the trajectory movement patters, data mining is used. However, pattern analysis needs semantics to be…

1578

Abstract

Purpose

Trajectory is the path a moving object takes in space. To understand the trajectory movement patters, data mining is used. However, pattern analysis needs semantics to be understood. Therefore, the purpose of this paper is to enrich trajectories with semantic annotations, such as the name of the location where the trajectory has stopped, so that the paper is able to attain quality decisions.

Design/methodology/approach

An experiment was conducted to explain that the use of raw trajectories alone is not enough for the decision-making process and detailed pattern extraction.

Findings

The findings of the paper indicates that some fundamental patterns and knowledge discovery is only obtainable by understanding the semantics underlying the position of each point.

Research limitations/implications

The unavailability of data are a limitation of the paper, which would limit its generalizability. Additionally, the lack of availability of tools for automatically adding semantics to clusters posed as a limitation of the paper.

Practical implications

The paper encourages governments as well as businesses to analyze movement data using data mining techniques, in light of the surrounding semantics. This will allow, for example, solving traffic congestions, since by understanding the movement patterns, the traffic authority could make decisions in order to avoid such congestions. Moreover, it could also help tourism authorities, at national levels, to know tourist movement patterns and support these patterns with the required logistical support. Additionally, for businesses, mobile operators could dynamically enhance their services, voice and data, by knowing the semantically enriched patterns of movement.

Originality/value

The paper contributes to the already rare literature on trajectory mining, enhanced with semantics. Mainstream literature focusses on either trajectory mining or semantics, therefore the paper claims that the approach is novel and is needed as well. By integrating mining outcomes with semantic annotation, the paper contributes to the body of knowledge and introduces, with lab evidence, the new approach.

Details

Journal of Enterprise Information Management, vol. 26 no. 5
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 11 June 2018

Montserrat Batet and David Sánchez

To overcome the limitations of purely statistical approaches to data protection, the purpose of this paper is to propose Semantic Disclosure Control (SeDC): an inherently…

Abstract

Purpose

To overcome the limitations of purely statistical approaches to data protection, the purpose of this paper is to propose Semantic Disclosure Control (SeDC): an inherently semantic privacy protection paradigm that, by relying on state of the art semantic technologies, rethinks privacy and data protection in terms of the meaning of the data.

Design/methodology/approach

The need for data protection mechanisms able to manage data from a semantic perspective is discussed and the limitations of statistical approaches are highlighted. Then, SeDC is presented by detailing how it can be enforced to detect and protect sensitive data.

Findings

So far, data privacy has been tackled from a statistical perspective; that is, available solutions focus just on the distribution of the data values. This contrasts with the semantic way by which humans understand and manage (sensitive) data. As a result, current solutions present limitations both in preventing disclosure risks and in preserving the semantics (utility) of the protected data.

Practical implications

SeDC captures more general, realistic and intuitive notions of privacy and information disclosure than purely statistical methods. As a result, it is better suited to protect heterogenous and unstructured data, which are the most common in current data release scenarios. Moreover, SeDC preserves the semantics of the protected data better than statistical approaches, which is crucial when using protected data for research.

Social implications

Individuals are increasingly aware of the privacy threats that the uncontrolled collection and exploitation of their personal data may produce. In this respect, SeDC offers an intuitive notion of privacy protection that users can easily understand. It also naturally captures the (non-quantitative) privacy notions stated in current legislations on personal data protection.

Originality/value

On the contrary to statistical approaches to data protection, SeDC assesses disclosure risks and enforces data protection from a semantic perspective. As a result, it offers more general, intuitive, robust and utility-preserving protection of data, regardless their type and structure.

Details

Online Information Review, vol. 42 no. 3
Type: Research Article
ISSN: 1468-4527

Keywords

Article
Publication date: 28 June 2021

Margit Neisig

Circular Economy is a policy and practice-oriented concept drawing mainly on engineering and natural science. This paper aims to contribute a conceptual development based…

Abstract

Purpose

Circular Economy is a policy and practice-oriented concept drawing mainly on engineering and natural science. This paper aims to contribute a conceptual development based on social systems theory. Does the Circular Economy have the prospect to become a sustainability-enhancing feedback mechanism potentializing an evolutionary systemic rearrangement of structural couplings, and will it encounter limitations as a general approach for a sustainable development?

Design/methodology/approach

By using the Luhmannian theory as method, core concepts are semantics, structure and rearrangement of structural couplings. In acknowledging the social system’s operational closure, social-metabolism with nature is discussed. The research is in three stages. First, structural couplings of matter and social systems. Second, structural couplings of organizational networks closing the loop–eventually using digitalization. Third, the Circular Economy encountering multicontextuality.

Findings

The paper provides: (1) A four-stage structural coupling enacting metabolism with nature allowing measurement of circularity potentially useable for feedback “irritating” relevant social systems’ reflexion. (2) Identification of obstacles encountered in the proliferation due to paradoxes of strategic decisions in organizations, difficulties of structural couplings of organizational networks and the paradox of digitalization. (3) Help by future digitalization but simultaneously new side-effects. (4) The multicontextuality as the limitation for a broad sustainability approach.

Originality/value

The paper answers a call for more social science theoretical research on the Circular Economy. It develops core conceptualizations based on social systems theory. Also, advices for future research and practical implementation are suggested.

Details

Kybernetes, vol. 51 no. 5
Type: Research Article
ISSN: 0368-492X

Keywords

1 – 10 of over 4000