A survey on fuzzy ontologies for the Semantic Web

2016 ◽  
Vol 31 (3) ◽  
pp. 278-321 ◽  
Author(s):  
Fu Zhang ◽  
Jingwei Cheng ◽  
Zongmin Ma
Keyword(s):  
Semantic Web ◽  
Real World ◽  
Semantic Representation ◽  
Future Research ◽  
Comprehensive Overview ◽  
Ongoing Research ◽  
Practical Applications ◽  
Knowledge Based ◽  
Formal Definitions ◽  
Main Ideas

AbstractOntology, as a standard (World Wide Web Consortium recommendation) for representing knowledge in the Semantic Web, has become a fundamental and critical component for developing applications in different real-world scenarios. However, it is widely pointed out that classical ontology model is not sufficient to deal with imprecise and vague knowledge strongly characterizing some real-world applications. Thus, a requirement of extending ontologies naturally arises in many practical applications of knowledge-based systems, in particular the Semantic Web. In order to provide the necessary means to handle such vague and imprecise information there are today many proposals for fuzzy extensions to ontologies, and until now the literature on fuzzy ontologies has been flourishing. To investigate fuzzy ontologies and more importantly serve as helping readers grasp the main ideas and results of fuzzy ontologies, and to highlight an ongoing research on fuzzy approaches for knowledge semantic representation based on ontologies, as well as their applications on various domains,in this paper,we provide a comprehensive overview of fuzzy ontologies. In detail, wefirstintroduce fuzzy ontologies from the most common aspects such asrepresentation(including categories, formal definitions, representation languages, and tools of fuzzy ontologies),reasoning(including reasoning techniques and reasoners), andapplications(the most relevant applications about fuzzy ontologies). Then,the other important issueson fuzzy ontologies, such asconstruction,mapping,integration,query,storage,evaluation,extension, anddirections for future research, are also discussed in detail. Also, we make somecomparisons and analysesin our whole review.

An overview of fuzzy Description Logics for the Semantic Web

2012 ◽  
Vol 28 (1) ◽  
pp. 1-34 ◽  
Author(s):  
Z. M. Ma ◽  
Fu Zhang ◽  
Hailong Wang ◽  
Li Yan
Keyword(s):  
Fuzzy Logic ◽  
Semantic Web ◽  
Description Logics ◽  
Expressive Power ◽  
Future Research ◽  
Practical Applications ◽  
Fuzzy Description Logics ◽  
Knowledge Based ◽  
Fuzzy Logic Theory ◽  
Fuzzy Description

AbstractInformation imprecision and uncertainty exist in many real world applications, and such information would be retrieved, processed, shared, reused, and aligned in the maximum automatic way possible. As a popular family of formally well-founded and decidable knowledge representation languages, fuzzy Description Logics (fuzzy DLs), which extend DLs with fuzzy logic, are very well suited to cover for representing and reasoning with imprecision and uncertainty. Thus, a requirement naturally arises in many practical applications of knowledge-based systems, in particular the Semantic Web, because DLs are the logical foundation of the Semantic Web. Currently, there have been lots of fuzzy extensions of DLs with Zadeh's fuzzy logic theory papers published, to investigate fuzzy DLs and more importantly serve as identifying the direction of fuzzy DLs study. In this paper, we aim at providing a comprehensive literature overview of fuzzy DLs, and we focus our attention on fuzzy extensions of DLs based on fuzzy set theory. Other relevant formalisms that are based on approaches like probabilistic theory or non-monotonic logics are covered elsewhere. In detail, we first introduce the existing fuzzy DLs (including the syntax, semantics, knowledge base, and reasoning algorithm) from the origin, development (from weaker to stronger in expressive power), some special techniques, and so on. Then, the other important issues on fuzzy DLs, such as reasoning, querying, applications, and directions for future research, are also discussed in detail. Also, we make a comparison and analysis.

Hierarchical Reinforcement Learning

2021 ◽  
Vol 54 (5) ◽  
pp. 1-35
Author(s):  
Shubham Pateria ◽  
Budhitama Subagdja ◽  
Ah-hwee Tan ◽  
Chai Quek
Keyword(s):  
Reinforcement Learning ◽  
Future Research ◽  
Comprehensive Overview ◽  
Open Problems ◽  
Practical Applications ◽  
Hierarchical Reinforcement Learning ◽  
The Past ◽  
Agent Learning ◽  
Multi Agent ◽  
Supplementary Material

Hierarchical Reinforcement Learning (HRL) enables autonomous decomposition of challenging long-horizon decision-making tasks into simpler subtasks. During the past years, the landscape of HRL research has grown profoundly, resulting in copious approaches. A comprehensive overview of this vast landscape is necessary to study HRL in an organized manner. We provide a survey of the diverse HRL approaches concerning the challenges of learning hierarchical policies, subtask discovery, transfer learning, and multi-agent learning using HRL. The survey is presented according to a novel taxonomy of the approaches. Based on the survey, a set of important open problems is proposed to motivate the future research in HRL. Furthermore, we outline a few suitable task domains for evaluating the HRL approaches and a few interesting examples of the practical applications of HRL in the Supplementary Material.

scholarly journals A Generalised Approach for Encoding and Reasoning with Qualitative Theories in Answer Set Programming

2020 ◽  
Vol 20 (5) ◽  
pp. 687-702 ◽  
Author(s):  
GEORGE BARYANNIS ◽  
ILIAS TACHMAZIDIS ◽  
SOTIRIS BATSAKIS ◽  
GRIGORIS ANTONIOU ◽  
MARIO ALVIANO ◽  
...  
Keyword(s):  
Real World ◽  
Traffic Monitoring ◽  
Qualitative Reasoning ◽  
Binary Relations ◽  
Logic Programs ◽  
Practical Applications ◽  
Knowledge Based ◽  
Important Barrier ◽  
Real World Problems

AbstractQualitative reasoning involves expressing and deriving knowledge based on qualitative terms such as natural language expressions, rather than strict mathematical quantities. Well over 40 qualitative calculi have been proposed so far, mostly in the spatial and temporal domains, with several practical applications such as naval traffic monitoring, warehouse process optimisation and robot manipulation. Even if a number of specialised qualitative reasoning tools have been developed so far, an important barrier to the wider adoption of these tools is that only qualitative reasoning is supported natively, when real-world problems most often require a combination of qualitative and other forms of reasoning. In this work, we propose to overcome this barrier by using ASP as a unifying formalism to tackle problems that require qualitative reasoning in addition to non-qualitative reasoning. A family of ASP encodings is proposed which can handle any qualitative calculus with binary relations. These encodings are experimentally evaluated using a real-world dataset based on a case study of determining optimal coverage of telecommunication antennas, and compared with the performance of two well-known dedicated reasoners. Experimental results show that the proposed encodings outperform one of the two reasoners, but fall behind the other, an acceptable trade-off given the added benefits of handling any type of reasoning as well as the interpretability of logic programs.

Ontological Collaboration Engineering

2012 ◽  
pp. 219-245 ◽  
Author(s):  
Stefan Werner Knoll ◽  
Till Plumbaum ◽  
Ernesto William De Luca ◽  
Livia Predoiu
Keyword(s):  
Machine Learning ◽  
Real World ◽  
Research Direction ◽  
Comprehensive Overview ◽  
Collaboration Engineering ◽  
Ongoing Research ◽  
New Knowledge ◽  
Collaboration Process ◽  
Collaborative Knowledge

This chapter gives a comprehensive overview of ongoing research about semantic approaches for Collaboration Engineering. The authors present a new ontology-based approach, where each concept of the ontology corresponds to a specific collaboration step or a resource, to collect, manage, and share collaborative knowledge. The chapter discusses the utility of the proposed ontology in the context of a real-world example where the authors explain how collaboration can be modelled and applied using their ontology in order to improve the collaboration process. Furthermore, they discuss how well-known ontologies, such as FOAF, can be linked to their ontology and extend it. While the focus of the chapter is on semantic Collaboration Engineering, the authors additionally present methods of reasoning and machine learning to derive new knowledge about the collaboration process as a further research direction.

A comprehensive overview of RDF for spatial and spatiotemporal data management

2021 ◽  
Vol 36 ◽  
Author(s):  
Fu Zhang ◽  
Qingzhe Lu ◽  
Zhenjun Du ◽  
Xu Chen ◽  
Chunhong Cao
Keyword(s):  
Data Management ◽  
Spatiotemporal Data ◽  
Future Research ◽  
Effective Management ◽  
Comprehensive Overview ◽  
Management Tools ◽  
Rdf Data ◽  
Description Framework ◽  
Main Ideas ◽  
Resource Description

Abstract Currently, a large amount of spatial and spatiotemporal RDF data has been shared and exchanged on the Internet and various applications. Resource Description Framework (RDF) is widely accepted for representing and processing data in different (including spatiotemporal) application domains. The effective management of spatial and spatiotemporal RDF data are becoming more and more important. A lot of work has been done to study how to represent, query, store, and manage spatial and spatiotemporal RDF data. In order to grasp and learn the main ideas and research results of spatial and spatiotemporal RDF data, in this paper, we provide a comprehensive overview of RDF for spatial and spatiotemporal data management. We summarize spatial and spatiotemporal RDF data management from several essential aspects such as representation, querying, storage, performance assessment, datasets, and management tools. In addition, the direction of future research and some comparisons and analysis are also discussed in depth.

scholarly journals A Review of the Polymer for Cryogenic Application: Methods, Mechanisms and Perspectives

Polymers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 320
Author(s):  
Duo Chen ◽  
Juanzi Li ◽  
Yuhuan Yuan ◽  
Chang Gao ◽  
Yunguang Cui ◽  
...  
Keyword(s):  
Liquid Oxygen ◽  
Future Research ◽  
Research Development ◽  
Thermoplastic Polymers ◽  
Comprehensive Overview ◽  
Research Directions ◽  
Practical Applications ◽  
Application Potential ◽  
Future Research Directions ◽  
Cryogenic Application

Recently, the application of polymer-based composites at cryogenic conditions has become a hot topic, especially in aerospace fields. At cryogenic temperature, the polymer becomes more brittle, and the adverse effect of thermal stress induced by temperature is more remarkable. In this paper, the research development of thermoset and thermoplastic polymers for cryogenic applications are all reviewed. This review considers the literature concerning: (a) the cryogenic performance of modified thermoset polymers and the improving mechanisms of the reported modification methods; (b) the cryogenic application potential of some commercial thermoplastic polymers and the cryogenic performance of modified thermoplastic polymers; (c) the recent advance in the use of polymer for special cryogenic environment-liquid oxygen. This paper provides a comprehensive overview of the research development of the polymer for cryogenic application. Moreover, future research directions have been proposed to facilitate its practical applications in aerospace.

scholarly journals Review on the Rotating Detonation Engine and It’s Typical Problems

2020 ◽  
Vol 2020 (4) ◽  
pp. 107-163
Author(s):  
Qiaofeng Xie ◽  
Zifei Ji ◽  
Haocheng Wen ◽  
Zhaoxin Ren ◽  
Piotr Wolanski ◽  
...  
Keyword(s):  
Engine Performance ◽  
Combustion Efficiency ◽  
Future Research ◽  
Comprehensive Overview ◽  
Practical Applications ◽  
Rotating Detonation Engine ◽  
Detonation Engine ◽  
Pressure Feedback ◽  
Reduce Emissions ◽  
Rotating Detonation

AbstractDetonation is a promising combustion mode to improve engine performance, increase combustion efficiency, reduce emissions, and enhance thermal cycle efficiency. Over the last decade, significant progress has been made towards the applications of detonation mode in engines, such as standing detonation engine (SDE), Pulse detonation engine (PDE) and rotating detonation engine (RDE), and the understanding of the fundamental chemistry and physics processes in detonation engines via experimental and numerical studies. This article is to provide a comprehensive overview of the progress in the knowledge of rotating detonation engine from the different countries. New observations of injection, ignition, and geometry of combustor, pressure feedback, and combustion modes of RDE have been reported. These findings and advances have provided new opportunities in the development of rotating detonation for practical applications. Finally, we point out the current gaps in knowledge to indicate which areas future research should be directed at.

“Crowd logistics”: the contribution of social crowds in logistics activities

2016 ◽  
Vol 12 (3) ◽  
pp. 379-396 ◽  
Author(s):  
Andreas Mladenow ◽  
Christine Bauer ◽  
Christine Strauss
Keyword(s):  
Real World ◽  
Interdisciplinary Research ◽  
Research Field ◽  
Future Research ◽  
Limited Attention ◽  
Scoring Method ◽  
Ongoing Research ◽  
Content Type ◽  
Depth Analysis ◽  
Crowd Logistics

Purpose The paper aims to provide the necessary basis for a novel interdisciplinary research field. Various types and implementations of crowdsourcing have emerged in the market; many of them are related to logistics. While we can identify plenty of crowd logistics applications using information technology capabilities and information sharing in practice, theories behind this phenomenon have received only limited attention. This paper accounts for filling this research gap by analyzing the crowd’s contributions in logistics of goods and information. Design/methodology/approach This paper is part of an ongoing research endeavor in the field of location-based crowdsourcing. It represents conceptual work that builds on a literature review enriched with an in-depth analysis of real-world examples in the field of crowd logistics. Using a scoring method, we provide an example how a company may evaluate the alternatives of crowd logistics. The main approach is an analysis of variants of how the social crowd may be integrated in logistics processes. The work is conceptual in its core. Thereby, we use real-world examples of crowdsourcing applications to underpin the evaluated variants of crowd logistics. Findings The paper presents relevant theoretical background on crowd logistics. The authors differentiate between variants of crowd logistics with their flow of materials, goods and information. Thereby they zoom in the type, significance and process flow of the crowd’s contributions. They discuss potential advantages and challenges of logistics with the performing crowd and deeply discuss opportunities and challenges from a business and from an individual’s perspective. Finally, they highlight a route map for future research directions in this novel interdisciplinary research field. Research limitations/implications As this work is conceptual in its core, generalizations may be drawn only with great care. Still, we are in a position to propose a route map for further research in this area in this paper. Also the integration of an analysis of a scale of real-world applications allows us to highlight our research’s practical relevance and implications. Originality/value The main contribution of this paper is an in-depth analysis and consolidation of innovative crowd logistics applications to provide an overview on recent implementations. The authors propose a categorization scheme and contribute with a route map for further research in the field of crowd logistics.

The Knowledge Creation Organization: The Case of Alphana

2012 ◽  
pp. 78-90
Author(s):  
Thang Nguyen Ngoc
Keyword(s):  
Competitive Advantage ◽  
Knowledge Creation ◽  
Future Research ◽  
Sustainable Competitive Advantage ◽  
Knowledge Based ◽  
The Future

Knowledge and the capability to create and utilize knowledge today are consid- ered to be the most important sources of a firm’s sustainable competitive advantage. This paper aims to advance understanding of the knowledge creation of firm in Vietnam by studying Alphanam Company. The case illustrates how knowledge- based management pursues a vision for the future based on ideals that consider the relationships of people in society. The finding shows that the case succeeded because of their flexibility and mobility to keep meeting to the changing needs of the customers or stakeholders. The paper also provided some suggestions for future research to examine knowledge-based management of the companies in a different industry segments and companies originating in other countries

A Case Study: Analysis of Patents of Coronaviruses and Covid-19 for Technology Assesment and Future Research

2020 ◽  
Vol 26 ◽  
Author(s):  
Pankaj Musyuni ◽  
Geeta Aggarwal ◽  
Manju Nagpal ◽  
Ramesh K. Goyal
Keyword(s):  
Disease Management ◽  
Research And Development ◽  
Technological Development ◽  
Research Work ◽  
Large Family ◽  
Future Research ◽  
Biological Drugs ◽  
Ongoing Research ◽  
Patent Literature ◽  
Patent Documents

Background: Protecting intellectual property rights are important and particularly pertinent for inventions which are an outcome of rigorous research and development. While the grant of patents is subject to establishing novelty and inventive step, it further indicates the technological development and helpful for researchers working in the same technical domain. The aim of the present research work is to map the existing work through analysis of patent literature, in the field of Coronaviruses (CoV), particularly COVID-19 (2019-nCoV). CoV is a large family of viruses known to cause illness in human and animals, particularly known for causing respiratory infections as evidenced in earlier times such as in MERS i.e. Middle East Respiratory Syndrome; SRS i.e. Severe Acute Respiratory Syndrome. A recently identified novel-coronavirus has known as COVID-19 which has currently caused pandemic situation across the globe. Objective: To expand analysis of patents related to CoV and 2019-nCoV. Evaluation has been conducted by patenting trends of particular strains of identified CoV diseases by present legal status, main concerned countries via earliest priority years and its assignee types and inventors of identified relevant patents. We analyzed the global patent documents to check the scope of claims along with focuses and trends of the published patent documents for the entire CoV family including 2019- nCoV through the present landscape. Methods: To extract the results, Derwent Innovation database is used by a combination of different key-strings. Approximately 3800 patents were obtained and further scrutinized and analyzed. The present write-up also discusses the recent progress of patent applications in a period of the year 2010 to 2020 (present) along with the recent developments in India for the treatment options for CoV and 2019-nCoV. Results: Present analysis showed that key areas of the inventions have been focused on vaccines and diagnostic kits apart from the composition for treatment of CoV. We also observed that no specific vaccine treatments is available for treatment of 2019-nCov, however, developing novel chemical or biological drugs and kits for early diagnosis, prevention and disease management is the primarily governing topic among the patented inventions. The present study also indicates potential research opportunities for the future, particularly to combat 2019-nCoV. Conclusion: The present paper analyzes the existing patents in the field of Coronaviruses and 2019-nCoV and suggests a way forward for the effective contribution in this upcoming research area. From the trend analysis, it was observed an increase in filing of the overall trend of patent families for a period of 2010 to the current year. This multifaceted analysis of identified patent literature provides an understanding of the focuses on present ongoing research and grey area in terms of the trends of technological innovations in disease management in patients with CoV and 2019-nCoV. Further, the findings and outcome of the present study offer insights for the proposed research and innovation opportunities and provide actionable information in order to facilitate policymakers, academia, research driven institutes and also investors to make better decisions regarding programmed steps for research and development for the diagnosis, treatment and taking preventive measures for CoV and 2019-nCoV. The present article also emphasizes on the need for future development and the role of academia and collaboration with industry for speedy research with a rationale.

Sign in / Sign up

Export Citation Format

Share Document