Research on the construction of the semantic model for Chinese ancient architectures based on architectural narratives

2020 ◽  
Vol 38 (4) ◽  
pp. 769-784
Author(s):  
Jinju Chen ◽  
Shiyan Ou
Keyword(s):  
Visual Analysis ◽  
Semantic Annotation ◽  
Semantic Content ◽  
Relevant Information ◽  
Semantic Model ◽  
Semantic Retrieval ◽  
Semantic Web Technologies ◽  
Semantic Reasoning ◽  
Content Type ◽  
Unstructured Information

Purpose This paper aims to reorganize the relevant information of Chinese ancient architectures with the use of Semantic Web technologies and thus facilitate its deep discovery and usage. Design/methodology/approach This paper proposes an ontology model for Chinese ancient architectures based on architectural narratives theory. To verify the availability of the ancient architecture ontology, we designed and implemented three experiments, including semantic retrieval based on SPARQL query, semantic reasoning with the use of Jena reasoner and visual analysis based on the Chinese Online Digital Humanities Resources Platform. Findings The proposed ontology provided a solution for the semantic annotation of the unstructured information of Chinese ancient architectures. On this basis, deep knowledge services such as semantic retrieval, semantic reasoning and visual analysis can be provided. Practical implications The proposed semantic model of ancient architectures can effectively improve the organization and access quality of the semantic content of Chinese ancient architectures. Originality/value This paper focuses on the semantic modelling for the unstructured information of Chinese ancient architectures to semantically describe the related entities (e.g. persons, events, places and times) and uncover their relationships, and thus it made contribution to the deep semantic annotations on ancient architectures.

scholarly journals Um modelo semântico de publicações eletrônicas | A semantic model for electronic publishing

2011 ◽  
Vol 7 (1) ◽  
Author(s):  
Carlos Henrique Marcondes
Keyword(s):  
Information Technologies ◽  
Electronic Publishing ◽  
Semantic Content ◽  
Scientific Methodology ◽  
Prototype System ◽  
Semantic Model ◽  
Semantic Retrieval ◽  
Prototype Development ◽  
Content Processing ◽  
Semantic Process

Resumo Publicações eletrônicas, apesar dos avanços das Tecnologias da Informação, são ainda calcados no modelo impresso. O formato textual impede que programas possam ser usados para o processamento “semântico” desses conteúdos. È porposto um modelo “semântico” de publicações cientificas eletrônicas, no qual as conclusões contidas no texto do artigo fornecidas por autores e representadas em formato “inteligível” por programas, permitindo recuperação semântica, identificação de indícios de novas descobertas científicas e de incoerências sobre este conhecimento. O modelo se baseia nos conceitos de estrutura profunda, ou semântica, da linguagem (CHOMSKY, 1975), de microestrutura, macroestrutura e superestrutura, (KINTSH, VAN DIJK, 1972), na estrutura retórica de artigos científicos (HUTCHINS, 1977), (GROSS, 1990) e nos elementos de metodologia cientifica, como problema, questão, objetivo, hipótese, experimento e conclusão. Resulta da análise de 89 artigos biomédicos. Foi desenvolvido um protótipo de sistema que implementa parcialmente o modelo. Questionários foram usados com autores para embasar o desenvolvimento do protótipo. O protótipo foi testando com pesquisadores-autores. Foram identificados quatro padrões de raciocínio e encadeamento dos elementos semânticos em artigos científicos. O modelo de conteúdo foi implementado como uma ontologia computacional. Foi desenvolvido e avaliado um protótipo de uma interface web de submissão artigos pelos autores a um sistema eletrônico de publicação de periódicos que implementa o modelo.Palavras-chave publicações eletrônicas; metodológica científica; comunicação científica; representação do conhecimento; ontologias; processamento semântico de conteúdos; e-CiênciaAbstract Electronic publishing, although Information Technologies advancements, are still based in the print text model. The textual format prevents programs to semantic process articles content. A semantic model of scientific electronic publishing is proposed, in which conclusion are prompted by author and recorded in machine-understandable format, enabling semantic retrieval, identification of traces of scientific discoveries and knowledge misunderstandings. The model is based on concepts as deep, or semantic, structure of human language (CHOMSKY, 1975), of microstructure, macrostructure and superstructure (KINTSH & VAN DIJK, 1972), of rhetoric structure of scientific articles (HUTCHINS, 1977), (GROSS, 1990) and on scientific methodology semantic elements, such as problem, question, objective, hypothesis, experiment and conclusion. It results from analysis of 89 biomedical articles. A prototype system was developed which partially implements the model. Questionnaires with authors were used to test the prototype development. The prototype was also tested with several researchers-authors. Four patterns of reasoning and sequencing of semantic elements were identified in articles analyzed. The content model is implemented as a computational ontology. A prototype of a web author’s submission interface to a electronic journal system was developed and tested.Keywords electronic publishing, scientific methodology, scientific communication, knowledge representation, ontologies, semantic content processing, e-Science

Product Analysis and Variants Derivation Based on a Semantically Annotated Product Family Ontology

2009 ◽  
Author(s):  
Soon Chong Johnson Lim ◽  
Ying Liu ◽  
Wing Bun Lee
Keyword(s):  
Semantic Annotation ◽  
Product Family ◽  
Relevant Information ◽  
Product Analysis ◽  
Laptop Computer ◽  
Family Analysis ◽  
Design And Manufacturing ◽  
Commonality Analysis ◽  
Current Representation

In literature, there are a number of indexes suggested that serve as the indicator of commonality among product components, modules and variants. However, as these elements are increasingly interconnected with aspects other than the component view, the existing commonality metrics are unable to effectively model these aspects due to their limitation in capturing relevant information for analysis. Therefore, there exists a need to consider multiple design and manufacturing aspects in commonality metrics so that a comprehensive view of the commonality among product variants can be presented. In the current representation schemes proposed for product family modeling, ontology is one of the most promising ones to model the complex semantic relations among various elements in a product family. Nevertheless, the research and application of ontology in the analysis of a product family has so far received little attention. In this paper, we proposed a framework to generate a semantically annotated multi-facet product family ontology. Using a case study of a laptop computer family, we suggest and demonstrate a new commonality analysis approach based on the semantically annotated multi-facet laptop product family ontology. Together with a new method of deriving product variants based on the aforementioned ontology, our approach illustrates the merits of using semantic annotation in assisting ontology based product family analysis.

scholarly journals Proposing an Ontology Model for Planning Photovoltaic Systems

2021 ◽  
Vol 3 (3) ◽  
pp. 582-600
Author(s):  
Farhad Khosrojerdi ◽  
Stéphane Gagnon ◽  
Raul Valverde
Keyword(s):  
Solar Energy ◽  
Semantic Web ◽  
Relevant Information ◽  
Pv System ◽  
Semantic Web Technologies ◽  
Pv Systems ◽  
Knowledge Based ◽  
Point Tracking ◽  
Power Point ◽  
Energy Community

The performance of a photovoltaic (PV) system is negatively affected when operating under shading conditions. Maximum power point tracking (MPPT) systems are used to overcome this hurdle. Designing an efficient MPPT-based controller requires knowledge about power conversion in PV systems. However, it is difficult for nontechnical solar energy consumers to define different parameters of the controller and deal with distinct sources of data related to the planning. Semantic Web technologies enable us to improve knowledge representation, sharing, and reusing of relevant information generated by various sources. In this work, we propose a knowledge-based model representing key concepts associated with an MPPT-based controller. The model is featured with Semantic Web Rule Language (SWRL), allowing the system planner to extract information about power reductions caused by snow and several airborne particles. The proposed ontology, named MPPT-On, is validated through a case study designed by the System Advisor Model (SAM). It acts as a decision support system and facilitate the process of planning PV projects for non-technical practitioners. Moreover, the presented rule-based system can be reused and shared among the solar energy community to adjust the power estimations reported by PV planning tools especially for snowy months and polluted environments.

Cryptocurrency bubble risk and the FOMC announcements during COVID-19 black swan event

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anis Jarboui ◽  
Emna Mnif
Keyword(s):  
Federal Reserve ◽  
Abnormal Returns ◽  
Relevant Information ◽  
Future Research ◽  
Open Market ◽  
Predictive Capacity ◽  
Federal Open Market Committee ◽  
Content Type ◽  
Cumulative Abnormal Returns ◽  
Practical Implications

Purpose After the COVID-19 outbreak, the Federal Reserve has undertaken several monetary policies to alleviate the pandemic consequences on the markets. This paper aims to evaluate the effects of the Federal Reserve monetary policy on the cryptocurrency dynamics during the COVID19 pandemic. Design/methodology/approach We examine the response and feedback effects via an event study methodology. For this purpose, abnormal returns (AR) and cumulative abnormal returns (CARs) around the first FOMC (Federal Open Market Committee) announcement related to the COVID-19 pandemic for the top five cryptocurrencies are explored. We, further investigate the effect of the eight FOMC statement announcements during the COVID19 pandemic on these cryptocurrencies (Bitcoin, Ethereum, Tether, Litecoin, and Ripple). In the above-mentioned crypto-currency markets, we investigate the presence of bubbles by using the PSY test. We then examine the concordance of the dates of these bubbles with the dates of the FOMC announcements. Findings The empirical results show that the first FOMC event has a negative significant effect after 4 days of the announcement date for all studied cryptocurrencies except Tether. The results also indicate that cumulative abnormal returns are significant during the event windows of (−3,8), (−3,9), and (−3,10). Besides, we find that Bitcoin, Ethereum and, Litecoin lived short bubbles lasting for a few days. However, Ripple and Tether markets present no bubbles and no explosive periods. Research limitations/implications This paper presents trained proof that FOMC announcements have a positive effect on volatility's predictive capacity. This work therefore promotes the study of the data quality of volatility in future research as well. Practical implications The justified effect of the FOMC announcements on cryptocurrency as a speculative asset has practical implications for investors in building their trading strategies in anticipation of the next FOMC announcement. Therefore, this study implies that the FOMC announcements contain very relevant information for investors in the cryptocurrency market. This research may not only encourage a better understanding of the evolution of the expectations of policymakers, but also facilitate a better understanding of how these expectations are developed. Originality/value The COVID-19 pandemic has disturbed the stability of financial markets, inciting the Fed to take some monetary regulations. To the best of our knowledge, this study is the first one that analyses the response of five major cryptocurrencies to FOMC announcements during COVID 19 pandemic and associates these dates with bubble occurrences.

“Red” and “green” flags of risk disclosures – identifying associations between positive and negative key phrases and consecutive cumulative abnormal stock returns

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deborah Yvonne Nagel ◽  
Stephan Fuhrmann ◽  
Thomas W. Guenther
Keyword(s):  
Stock Returns ◽  
Relevant Information ◽  
Risk Information ◽  
Information Value ◽  
Research Approach ◽  
Content Type ◽  
Abnormal Stock Returns ◽  
Key Phrases ◽  
Risk Disclosures ◽  
Selection Of

Purpose The usefulness of risk disclosures (RDs) to support equity investors’ investment decisions is highly discussed. As prior research criticizes the extensive aggregation of risk information in existing empirical research, this paper aims to provide an attempt to identify disaggregated risk information associated with cumulative abnormal stock returns (CARs). Design/methodology/approach The sample consists of 2,558 RDs of companies listed in the S&P 500 index. The RDs were filed within 10 K filings between 2011 and 2017. First, this study automatically extracted 35,685 key phrases that occurred in a maximum of 1.5% of the RDs. Second, this study performed stepwise regressions of these key phrases and identified 67 (78) key phrases that show positive (negative) associations with CARs. Findings The paper finds that investors seem to value most the more common key phrases just below the 1.5% rarest key phrase threshold and business-related key phrases from RDs. Furthermore, investors seem to perceive key phrases that contain words indicating uncertainty (impacts) as a negative (positive) rather than a positive (negative) signal. Research limitations/implications The research approach faces limitations mainly due to the selection of the included key phrases, the focus on CARs and the methodological choice of the stepwise regression analysis. Originality/value The study reveals the potential for companies to increase the information value of their RDs for equity investors by providing tailored information within RDs instead of universal phrases. In addition, the research indicates that the tailored RDs encouraged by the SEC contain relevant information for investors. Furthermore, the results may guide the attention of equity investors to relevant text passages whose deeper analysis might be useful with regard to investors’ capital market decisions.

A bibliometric analysis of Halal and Islamic tourism

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed Ahamed Suban ◽  
Kumar Madhan ◽  
Shameem Shagirbasha
Keyword(s):  
Bibliometric Analysis ◽  
Visual Analysis ◽  
Analytical Techniques ◽  
Future Research ◽  
Content Type ◽  
Concise Review ◽  
Knowledge Area ◽  
Scopus Database ◽  
Broad Subject ◽  
Number Of Authors

PurposeHalal and Islamic tourism is gaining attention in the tourism literature in recent years. This study uses bibliometric analytical techniques to explore all the publications indexed in the Scopus database in the broad subject of Halal and Islamic tourism from 2004 to 2021.Design/methodology/approachThe authors found 238 publications that fit the function, subject and set criteria. The papers were analysed in terms of publication by knowledge area, number of studies published every year, contribution by countries, number of authors and most influential journals. VOS viewer was used to perform a visual analysis on co-occurrence of keywords and document citations.FindingsAccording to the findings, the Scopus database includes 151 (34.40%) documents on business, management and accounting, and 89 (20.27%) documents on social science. It was reported that 29 documents were published in 2018, followed by 54 documents in 2019 and 56 documents in 2021. Malaysia has contributed 86 documents on Islamic tourism, whereas Indonesia has contributed 64 documents. The paper also discusses other interesting findings.Research limitations/implicationsThe bibliometric analysis carried out was confined to Scopus data. Other national and international databases were not taken into account for this research.Originality/valueBetween 2004 and 2021, this study examined relevant studies on Halal and Islamic tourism. The study presents a concise review of the literature accessible to researchers working in this area and provides recommendations for future research.

A study on next‐generation digital library using context‐awareness technology

2013 ◽  
Vol 31 (2) ◽  
pp. 236-253 ◽  
Author(s):  
Younghee Noh
Keyword(s):  
Digital Library ◽  
Digital Libraries ◽  
Context Awareness ◽  
Theoretical Research ◽  
Context Aware ◽  
Semantic Retrieval ◽  
Next Generation ◽  
Climate Control ◽  
Content Type ◽  
Reference Services

PurposeThis study seeks to examine the concepts of context, context‐awareness, and context‐awareness technology needed for applying context‐awareness technology to the next‐generation of digital libraries, and proposed context‐aware services that can be applied to any situation by illustrating some library contexts.Design/methodology/approachThe paper investigated both theoretical research and case analysis studies before suggesting a service model for context‐awareness‐based libraries by examining the context, context‐awareness, and context‐awareness technology in depth.FindingsThis paper derived possible library services which could be provided if context‐awareness services are implemented by examining and analyzing case studies and systems constructed in other fields. A library‐applied context‐aware system could recognize users entering the library and provide optimal services tailored to each situation for both new and existing users. In addition, the context‐awareness‐based library could provide context‐awareness‐based reference services, context‐awareness‐based loan services, and cater to other user needs in the stacks, research space, and a variety of other information spaces. The context‐awareness‐based library could also recognize users in need of emergency assistance by detecting the user's behavior, movement path, and temperature, etc. Comfort or climate‐control services could provide the user with control of the temperature, humidity, illumination and other environmental elements to fit the circumstances of users, books, and instruments through context‐aware technology.Practical implicationsNext‐generation digital libraries apply new concepts such as semantic retrieval, real‐time web, cloud computing, mobile web, linked data, and context‐awareness. Context‐awareness‐based libraries can provide applied context‐awareness access service, reactive space according to the user's access, applied context‐awareness lobbies, applied context‐awareness reference services, and applied context‐awareness safety services, context‐awareness‐based comfort services and so on.Originality/valueReal instances of libraries applying context‐aware technology are few, according to the investigative results of this study. The study finds that the next‐generation digital library using context‐awareness technology can provide the best possible service for the convenience of its users.

scholarly journals Ekstraksi Informasi Halaman Web Menggunakan Pendekatan Bootstrapping pada Ontology-Based Information Extraction

2015 ◽  
Vol 9 (2) ◽  
pp. 111 ◽  
Author(s):  
Erma Susanti ◽  
Khabib Mustofa
Keyword(s):  
Information Extraction ◽  
Language Processing ◽  
Semantic Content ◽  
Extraction Process ◽  
Web Pages ◽  
Structured Information ◽  
Improved Performance ◽  
Types Of Information ◽  
Unstructured Information

AbstrakEkstraksi  informasi  merupakan suatu bidang ilmu untuk pengolahan bahasa alami, dengan cara mengubah teks tidak terstruktur menjadi informasi dalam bentuk terstruktur. Berbagai jenis informasi di Internet ditransmisikan secara tidak terstruktur melalui website, menyebabkan munculnya kebutuhan akan suatu teknologi untuk menganalisa teks dan menemukan pengetahuan yang relevan dalam bentuk informasi terstruktur. Contoh informasi tidak terstruktur adalah informasi utama yang ada pada konten halaman web. Bermacam pendekatan untuk ekstraksi informasi telah dikembangkan oleh berbagai peneliti, baik menggunakan metode manual atau otomatis, namun masih perlu ditingkatkan kinerjanya terkait akurasi dan kecepatan ekstraksi. Pada penelitian ini diusulkan suatu penerapan pendekatan ekstraksi informasi dengan mengkombinasikan pendekatan bootstrapping dengan Ontology-based Information Extraction (OBIE). Pendekatan bootstrapping dengan menggunakan sedikit contoh data berlabel, digunakan untuk memimalkan keterlibatan manusia dalam proses ekstraksi informasi, sedangkan penggunakan panduan ontologi untuk mengekstraksi classes (kelas), properties dan instance digunakan untuk menyediakan konten semantik untuk web semantik. Pengkombinasian kedua pendekatan tersebut diharapkan dapat meningkatan kecepatan proses ekstraksi dan akurasi hasil ekstraksi. Studi kasus untuk penerapan sistem ekstraksi informasi menggunakan dataset “LonelyPlanet”. Kata kunci—Ekstraksi informasi, ontologi, bootstrapping, Ontology-Based Information Extraction, OBIE, kinerja Abstract Information extraction is a field study of natural language processing by converting unstructured text into structured information. Several types of information on the Internet is transmitted through unstructured information via websites, led to emergence of the need a technology to analyze text and found relevant knowledge into structured information. For example of unstructured information is existing main information on the content of web pages. Various approaches  for information extraction have been developed by many researchers, either using manual or automatic method, but still need to be improved performance related accuracy and speed of extraction. This research proposed an approach of information extraction that combines bootstrapping approach with Ontology-Based Information Extraction (OBIE). Bootstrapping approach using small seed of labelled data, is used to minimize human intervention on information extraction process, while the use of guide ontology for extracting classes, properties and instances, using for provide semantic content for semantic web. Combining both approaches expected to increase speed of extraction process and accuracy of extraction results. Case study to apply information extraction system using “LonelyPlanet” datasets. Keywords— Information extraction, ontology, bootstrapping, Ontology-Based Information Extraction, OBIE, performance

Enabling characteristics of new budgeting practice and the role of controller

2016 ◽  
Vol 13 (1) ◽  
pp. 31-56 ◽  
Author(s):  
Tiina Henttu-Aho
Keyword(s):  
Design Methodology ◽  
Relevant Information ◽  
Management Control ◽  
Holistic View ◽  
New Developments ◽  
Role Change ◽  
Content Type ◽  
Paper Company

Purpose This paper aims to investigate the emergence of the enabling characteristics of new budgetary practices and their implications for the role of controller. Design/methodology/approach The longitudinal perspective of this qualitative case study is based on interviews of controllers and managers involved in budgetary work. This study monitored the four enabling characteristics of management control, namely, repair, internal transparency, global transparency and flexibility (Adler and Borys, 1996), related to the new budgeting practices in one global paper company. Findings The findings of the study demonstrate that the implementation of rolling forecasting was a major attempt at “repair” to remedy the incompleteness of accounting information, which made controllers experts in producing and delivering more realistic forward-looking information in the organization. The increasing internal and global transparency of new budgetary practices enabled controllers at various levels of organization to develop new competences, which helped controller network to build a holistic view of the totality of control and supply more relevant information in organization. Moreover, the inherent flexibility of the system was a major condition for improving organizational effectiveness in budgetary work. However, the study shows that the controller’s attitude towards enabling formalization is not necessarily positive if the system is not aligned with professional mindset and competence. Originality/value This study adds to the understanding of the complementarity between new developments of budgeting and controller role by addressing the enabling uses of management control systems, which have the potential to enhance the controller role change.

Business social networks and academics' entrepreneurial intentions

2014 ◽  
Vol 114 (2) ◽  
pp. 292-320 ◽  
Author(s):  
Virginia Fernández-Pérez ◽  
Patricia Esther Alonso-Galicia ◽  
María del Mar Fuentes-Fuentes ◽  
Lazaro Rodriguez-Ariza
Keyword(s):  
Social Networks ◽  
Structural Equation ◽  
Relevant Information ◽  
Entrepreneurial Intentions ◽  
Financial Networks ◽  
Sample Population ◽  
Research Knowledge ◽  
Psychological Variables ◽  
Content Type

Purpose – This study analyses the role of social networks and their effects on academics' entrepreneurial intentions (AEI), from an academic cognitive perspective. Specifically, the paper investigates how business (distinguishing between industrial and financial links) and personal social networks, through opportunity-relevant information and support, could influence academics' intentions to start a business venture on the basis of their research knowledge. The paper examines the mediator roles of entrepreneurial attitudes (EA) and self-efficacy on opportunity recognition (SOR) as important psychological variables for academics. In the same context, the paper examines the mediator role of gender. Design/methodology/approach – The hypotheses were tested using structural equation modelling analysis, on a sample population of 500 Spanish academics engaged in commercially oriented fields of research. Findings – The results obtained highlight the positive roles played by business (industrial and financial) networks, both directly in promoting AEI, and indirectly via EA and SOR. The paper finds that male and female academics differ in their perceptions of support from business and financial networks and in their use of these resources in business start-up. Practical implications – An understanding of these issues offers opportunities to shape government interventions to assist academic entrepreneurs embarking on a business venture, or those already active in this respect, increasing their effectiveness in building, utilizing and enhancing the quality of networking activities. Originality/value – The paper explores business networking for academics as a factor promoting entrepreneurship. Furthermore, the paper considers an under-researched area that of female entrepreneurship in what is traditionally considered a male-dominated activity.

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