Provenance Description of Metadata Vocabularies for the Long-term Maintenance of Metadata

Abstract Purpose The purpose of this paper is to discuss provenance description of metadata terms and metadata vocabularies as a set of metadata terms. Provenance is crucial information to keep track of changes of metadata terms and metadata vocabularies for their consistent maintenance. Design/methodology/approach The W3C PROV standard for general provenance description and Resource Description Framework (RDF) are adopted as the base models to formally define provenance description for metadata vocabularies. Findings This paper defines a few primitive change types of metadata terms, and a provenance description model of the metadata terms based on the primitive change types. We also provide examples of provenance description in RDF graphs to show the proposed model. Research limitations The model proposed in this paper is defined based on a few primitive relationships (e.g. addition, deletion, and replacement) between pre-version and post-version of a metadata term. The model is simplified and the practical changes of metadata terms can be more complicated than the primitive relationships discussed in the model. Practical implications Formal provenance description of metadata vocabularies can improve maintainability of metadata vocabularies over time. Conventional maintenance of metadata terms is the maintenance of documents of terms. The proposed model enables effective and automated tracking of change history of metadata vocabularies using simple formal description scheme defined based on widely-used standards. Originality/value Changes in metadata vocabularies may cause inconsistencies in the longterm use of metadata. This paper proposes a simple and formal scheme of provenance description of metadata vocabularies. The proposed model works as the basis of automated maintenance of metadata terms and their vocabularies and is applicable to various types of changes.

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Towards Interactive Analytics over RDF Graphs

Algorithms ◽

10.3390/a14020034 ◽

2021 ◽

Vol 14 (2) ◽

pp. 34 ◽

Cited By ~ 1

Author(s):

Maria-Evangelia Papadaki ◽

Nicolas Spyratos ◽

Yannis Tzitzikas

Keyword(s):

Query Language ◽

Proposed Model ◽

Aggregate Queries ◽

Rdf Data ◽

Description Framework ◽

Rdf Graphs ◽

High Level ◽

Resource Description ◽

Functional Algebra ◽

Continuous Accumulation

The continuous accumulation of multi-dimensional data and the development of Semantic Web and Linked Data published in the Resource Description Framework (RDF) bring new requirements for data analytics tools. Such tools should take into account the special features of RDF graphs, exploit the semantics of RDF and support flexible aggregate queries. In this paper, we present an approach for applying analytics to RDF data based on a high-level functional query language, called HIFUN. According to that language, each analytical query is considered to be a well-formed expression of a functional algebra and its definition is independent of the nature and structure of the data. In this paper, we investigate how HIFUN can be used for easing the formulation of analytic queries over RDF data. We detail the applicability of HIFUN over RDF, as well as the transformations of data that may be required, we introduce the translation rules of HIFUN queries to SPARQL and we describe a first implementation of the proposed model.

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From “Calling in Black” to “Calling for Antiracism Resources”: the need for systemic resources to address systemic racism

Equality Diversity and Inclusion An International Journal ◽

10.1108/edi-07-2020-0180 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Courtney L. McCluney ◽

Danielle D. King ◽

Courtney M. Bryant ◽

Abdifatah A. Ali

Keyword(s):

Design Methodology ◽

White Supremacy ◽

Organizational Structures ◽

Systemic Racism ◽

Organizational Research ◽

Content Type ◽

History Of ◽

Standards And Guidelines ◽

Practical Implications

PurposeThe purpose of this essay is to highlight the urgent need for antiracism resource generation in organizations today.Design/methodology/approachThis essay weaves together popular press articles, academic writings and the authors' lived experiences to summarize, clarify and extend the work needed inside of organizations and academia to dismantle systemic racism.FindingsWe define antiracist resources as personal and material assets that counteract systemic racism through informing and equipping antiracist actions, and identify three resources—adopting a long-term view for learning the history of racism, embracing discomfort to acknowledge racist mistakes and systematically assess how organizational structures maintain white supremacy—for organizations to address systemic racism.Research limitations/implicationsWhile there is a critical need for more antiracism research, there are standards and guidelines that should be followed to conduct that research responsibly with antiracism enacted in research design, methodology decisions and publication practices.Practical implicationsThe authors call for organizations to directly counter-racism via antiracism resources and offer examples for how these resources can inform and equip companies to create equitable workplaces.Originality/valueThis essay offers: (a) an updated, timely perspective on effective responses to systemic racism (e.g. police brutality and COVID-19), (b) a detailed discussion of antiracism resources and (c) specific implications for antiracism work in organizational research.

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Global Sensitivity Analysis for Fuzzy RDF Data

International Journal of Software Engineering and Knowledge Engineering ◽

10.1142/s0218194021500352 ◽

2021 ◽

Vol 31 (08) ◽

pp. 1119-1144

Author(s):

Hatem Soliman ◽

Izhar Ahmed Khan ◽

Yasir Hussain

Keyword(s):

Sensitivity Analysis ◽

Global Sensitivity Analysis ◽

Analysis Model ◽

Global Sensitivity ◽

Proposed Model ◽

The World ◽

Practical Tool ◽

Rdf Data ◽

Description Framework ◽

Resource Description

The resource description framework (RDF) was adopted by the World Wide Web (W3C) as an essential semantic web standard and the RDF scheme. It accords the hard semantics in the description and wields the crisp metadata. However, it usually produces vague or ambiguous information. Consequently, fuzzy RDF helps deal with such special data by transforming the crisp values into a fuzzy set. A method for analyzing fuzzy RDF data is proposed in this paper. To this end, first, we decompose the RDF into fuzzy RDF variables. Second, we are designing a model for global sensitivity analysis based on the decomposition of fuzzy RDF. It figures out the ambiguities of fuzzy RDF data. The proposed global sensitivity analysis model provides the importance of fuzzy RDF data by considering the response function’s structure and reselects it to a certain degree. A practical tool for sensitivity analysis of fuzzy RDF data has also been implemented based on the proposed model.

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The chemical signatures of the Large Magellanic Cloud globular clusters

Proceedings of the International Astronomical Union ◽

10.1017/s1743921308028615 ◽

2008 ◽

Vol 4 (S256) ◽

pp. 299-304

Author(s):

Alessio Mucciarelli

Keyword(s):

Globular Clusters ◽

Stellar Population ◽

Large Magellanic Cloud ◽

Magellanic Cloud ◽

Chemical Enrichment ◽

Chemical Signatures ◽

First Results ◽

History Of ◽

Crucial Information

AbstractWe present the first results of a long-term project based on the analysis of high-resolution optical spectra for a sample of Large Magellanic Cloud globular clusters. The final aim is to build a new, reliable metallicity scale for this cluster system and shed some light on the role played by the different chemical contributors (AGB, SN II and SN Ia), in order to understand the chemical enrichment history of the Large Magellanic Cloud. The analysis of 6 young and intermediate-age clusters and 11 field stars, observed with the UVES@FLAMES spectrograph, provides crucial information about the chemical composition of the dominant stellar population of the LMC. All these stars are metal-rich ([Fe/H]~ −0.4 dex), with solar-scaled [α/Fe] ratios, that point toward an enrichment from SN Ia. Moreover, we observed a general depletion for the [Al/Fe] ratio (indication of a chemical enrichment by metal-poor SN II) and a strong enhancement of the [Ba/Y] ratio (likely due to the enrichment by metal-poor AGB stars).

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Analysis of RDF Syntaxes for Semantic Web Development

Applied Computer Systems ◽

10.1515/acss-2015-0017 ◽

2015 ◽

Vol 18 (1) ◽

pp. 33-42 ◽

Cited By ~ 1

Author(s):

Yevgeny Gryaznov ◽

Pavel Rusakov

Keyword(s):

Semantic Web ◽

Directed Graph ◽

Resource Description Framework ◽

Formal Model ◽

Information Representation ◽

Web Development ◽

Rdf Data ◽

Description Framework ◽

Rdf Graphs ◽

Resource Description

Abstract In this paper authors perform a research on possibilities of RDF (Resource Description Framework) syntaxes usage for information representation in Semantic Web. It is described why pure XML cannot be effectively used for this purpose, and how RDF framework solves this problem. Information is being represented in a form of a directed graph. RDF is only an abstract formal model for information representation and side tools are required in order to write down that information. Such tools are RDF syntaxes – concrete text or binary formats, which prescribe rules for RDF data serialization. Text-based RDF syntaxes can be developed on the existing format basis (XML, JSON) or can be an RDF-specific – designed from scratch to serve the only purpose – to serialize RDF graphs. Authors briefly describe some of the RDF syntaxes (both XML and non-XML) and compare them in order to identify strengths and weaknesses of each version. Serialization and deserialization speed tests using Jena library are made. The results from both analytical and experimental parts of this research are used to develop the recommendations for RDF syntaxes usage and to design a RDF/XML syntax subset, which is intended to simplify the development and raise compatibility of information serialized with this RDF syntax.

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DAMAGES TO COASTAL STRUCTURES

Coastal Engineering Proceedings ◽

10.9753/icce.v14.97 ◽

1974 ◽

Vol 1 (14) ◽

pp. 97 ◽

Cited By ~ 4

Author(s):

Orville T. Magoon ◽

Robert L. Sloan ◽

Gary L. Foote

Keyword(s):

Coastal Engineering ◽

The State ◽

Coastal Structures ◽

Construction Stage ◽

History Of ◽

Proper Design ◽

Term Maintenance

Coastal Engineering literature contains many references to coastal structures in the design or construction stage but few references to these same structures concerning their maintenance effectiveness subsequent to completion. This paper describes a successful long-term maintenance history of major coastal public structures in the State of California, U.S.A. It is concluded that proper design combined with prudent maintenance will result in effective coastal structures with long economic lifetimes.

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W1256 History of Interrupted Infliximab Dosing Significantly Diminishes Efficacy During Long-Term Maintenance Therapy in Crohn's Disease

Gastroenterology ◽

10.1016/s0016-5085(08)63107-8 ◽

2008 ◽

Vol 134 (4) ◽

pp. A-666

Author(s):

Daniel Stein ◽

Mazen Issa ◽

Susan Skaros ◽

Joshua F. Knox ◽

Kathryn Lemke ◽

...

Keyword(s):

Crohn’S Disease ◽

Crohn's Disease ◽

Maintenance Therapy ◽

History Of ◽

Term Maintenance

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gst-store: Querying Large Spatiotemporal RDF Graphs

Data and Information Management ◽

10.1515/dim-2017-0008 ◽

2017 ◽

Vol 1 (2) ◽

pp. 84-103 ◽

Cited By ~ 2

Author(s):

Dong Wang ◽

Lei Zou ◽

Dongyan Zhao

Keyword(s):

Query Language ◽

Data Management System ◽

Rdf Graph ◽

Spatiotemporal Information ◽

Simple Protocol ◽

Rdf Data ◽

Description Framework ◽

Query Algorithm ◽

Rdf Graphs ◽

Resource Description

Abstract The Simple Protocol and RDF Query Language (SPARQL) query language allows users to issue a structural query over a resource description framework (RDF) graph. However, the lack of a spatiotemporal query language limits the usage of RDF data in spatiotemporal-oriented applications. As the spatiotemporal information continuously increases in RDF data, it is necessary to design an effective and efficient spatiotemporal RDF data management system. In this paper, we formally define the spatiotemporal information-integrated RDF data, introduce a spatiotemporal query language that extends the SPARQL language with spatiotemporal assertions to query spatiotemporal information-integrated RDF data, and design a novel index and the corresponding query algorithm. The experimental results on a large, real RDF graph integrating spatial and temporal information (> 180 million triples) confirm the superiority of our approach. In contrast to its competitors, gst-store outperforms by more than 20%-30% in most cases.

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VP-RDF: An RDF Based Framework to Introduce the Viewpoint in the Description of Resources

Applied Computer Systems ◽

10.2478/acss-2021-0006 ◽

2021 ◽

Vol 26 (1) ◽

pp. 44-53

Author(s):

Ouahiba Djama

Keyword(s):

Resource Description Framework ◽

Intelligent Systems ◽

Query Languages ◽

View Point ◽

Share Data ◽

Common Framework ◽

Description Framework ◽

Rdf Graphs ◽

Resource Description ◽

The Web

Abstract The description of resources and their relationships is an essential task on the web. Generally, the web users do not share the same interests and viewpoints. Each user wants that the web provides data and information according to their interests and specialty. The existing query languages, which allow querying data on the web, cannot take into consideration the viewpoint of the user. We propose introducing the viewpoint in the description of the resources. The Resource Description Framework (RDF) represents a common framework to share data and describe resources. In this study, we aim at introducing the notion of the viewpoint in the RDF. Therefore, we propose a View-Point Resource Description Framework (VP-RDF) as an extension of RDF by adding new elements. The existing query languages (e.g., SPARQL) can query the VP-RDF graphs and provide the user with data and information according to their interests and specialty. Therefore, VP-RDF can be useful in intelligent systems on the web.

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Unlocking behaviors of long-term service consumers: the role of action inertia

Journal of Service Theory and Practice ◽

10.1108/jstp-06-2015-0127 ◽

2017 ◽

Vol 27 (1) ◽

pp. 270-291 ◽

Cited By ~ 7

Author(s):

Matti Leppäniemi ◽

Chanaka Jayawardhena ◽

Heikki Karjaluoto ◽

David Harness

Keyword(s):

Customer Loyalty ◽

Path Modeling ◽

Content Type ◽

Continuous Service ◽

Proposed Model ◽

Measurement And Analysis ◽

Moderating Role ◽

Practical Implications

Purpose The purpose of this paper is to examine the antecedents of word-of-mouth (WOM) in long-term service settings. Specifically, the authors examine the moderating role of action inertia in the relationships between satisfaction and repatronage intention, satisfaction and WOM, and repatronage intention and WOM. Design/methodology/approach The proposed model was empirically tested using survey data from 1,385 telecommunications service subscribers. The data were analyzed using partial least squares path modeling. Findings Results suggest that a positive link between repatronage intention and WOM, hereto a neglected relationship in the marketing literature, in contrast to previous literature, the behaviors of long-term customers are not predictable, and action inertia strengthens satisfaction – WOM and repatronage intention – WOM links and weakens satisfaction – repatronage intention link. Research limitations/implications This study examines customers of a utilitarian service. To further determine the potential of the model, it is desirable to explore the validity of the model in other service settings, particularly those with high hedonic values. Practical implications The study provides valuable insights into repatronage intention – WOM link, with particular emphasis on the measurement and analysis of action inertia. This is important in understanding and evaluating inertia influences and identification of the drivers of WOM. These insights can be used by managers to better allocate their resources when investing in customer loyalty-building exercises and in generating WOM. Originality/value This paper contributes to the literature in three main ways. First, it examines the nuances of customer loyalty in continuous service contexts. Second, the study empirically tests the role of repatronage intention as an antecedent of WOM. Third, the study introduces and tests the moderating role of action inertia on positive WOM.

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