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The purpose of this paper is to examine the Records in Contexts proposal of a conceptual model (RiC-CM) from the International Council on Archives’ (ICA) archival description and to propose an OWL ontology for its implementation in the semantic web.

The various elements of the model are studied and are related to earlier norms in order to understand their structure and the modeling of the ontology.

The analysis reveals the integrating nature of RiC-CM and the possibilities it offers for greater interoperability of data from archival descriptions. Two versions of an OWL ontology were developed to represent the conceptual model. The first makes a direct transposition of the conceptual model; the second optimizes the properties and relations in order to simplify the use and maintenance of the ontology.

The proposed ontology will follow the considerations of the final version of the ICA’s RiC-CM.

The analysis affords an understanding of the role of RiC-CM in publishing online archival data sets, while the ontology is an initial approach to the semantic web technologies involved.

This paper offers an overview of Records in Contexts with respect to the advantages in the field of semantic interoperability, and supposes the first proposal of an ontology based on the conceptual model.

Provenance information is crucial for consistent maintenance of metadata schemas over time. The purpose of this paper is to propose a provenance model named DSP-PROV to keep track of structural changes of metadata schemas.

The DSP-PROV model is developed through applying the general provenance description standard PROV of the World Wide Web Consortium to the Dublin Core Application Profile. Metadata Application Profile of Digital Public Library of America is selected as a case study to apply the DSP-PROV model. Finally, this paper evaluates the proposed model by comparison between formal provenance description in DSP-PROV and semi-formal change log description in English.

Formal provenance description in the DSP-PROV model has advantages over semi-formal provenance description in English to keep metadata schemas consistent over time.

The DSP-PROV model is applicable to keep track of the structural changes of metadata schema over time. Provenance description of other features of metadata schema such as vocabulary and encoding syntax are not covered.

This study proposes a simple model for provenance description of structural features of metadata schemas based on a few standards widely accepted on the Web and shows the advantage of the proposed model to conventional semi-formal provenance description.

The purpose of this paper is to present the necessary accessories for creating a job description, through a model. The model concentrates on the person and a job description document, which is capable of connecting and synchronising the organizational goals. The author introduces a tool that assists in creating job descriptions.

In the present paper the author integrates the conclusions of the authors on the subject and her own research results, on the basis of which she creates a three dimensional (3D) job description model. This 3D model could be used as a resource in the human resource development field.

The elements of the resulting job description document: the method specific accessories of the job descriptions. The content specific accessories of the job descriptions. The person specific accessories of the job descriptions.

The 3D job description, which is presented in the study, was preceded by the development of a general model. The very first application of the general model was in connection with competence tests, which have gained popularity lately. Competences can be classified in different ways. Each aspect of classification corresponds to a face of a tetrahedron, five of which comprise the model. This model is also adaptable for other kinds of research used at research centres, educational institutions and companies.

The 3D job description being presented was developed as a special, multi-dimensional data model. The model allows us to discover and present the causal relationships and the connections between the parts and the whole of job description elements. It demonstrates the interacting factors clearly due to the fact that the tetrahedrons can be rolled over one another, and it is adaptable for the mapping of the connections between these factors.

The model is capable of defining the central elements. In this case, the people and the organization of work are in the centre. The 3D job description is adaptable for modelling by the exploration of logical links, so it can show what kind of “whole” is generated by the given elements and what parts it consists of. Therefore the model can be interpreted as a network of connections, which is capable of illustrating the vertical and horizontal structure, due to the special form of tetrahedrons. The model is perfect for the demonstration of the connections between contents on the faces of the tetrahedrons, due to their form and movability.

The elaboration and presentation of the general model, protected by design patent (90 806 D0500121) in Hungary, was stimulated by the fact that during different kinds of research and analyses it is an important task to explore the influencing factors, elements and their connections. This is of primary importance especially at the early stage of research and analysis, because the negligence of these in the early stages results in the fact that those particular factors can be taken into account only during a repeated analysis.

The purpose of this paper is to examine the current state of Linked Data (LD) in archival moving image description, and propose ways in which current metadata records can be enriched and enhanced by interlinking such metadata with relevant information found in other data sets.

Several possible metadata models for moving image production and archiving are considered, including models from records management, digital curation, and the recent BIBFRAME AV Modeling Study. This research also explores how mappings between archival moving image records and relevant external data sources might be drawn, and what gaps exist between current vocabularies and what is needed to record and make accessible the full lifecycle of archiving through production, use, and reuse.

The author notes several major impediments to implementation of LD for archival moving images. The various pieces of information about creators, places, and events found in moving image records are not easily connected to relevant information in other sources because they are often not semantically defined within the record and can be hidden in unstructured fields. Libraries, archives, and museums must work on aligning the various vocabularies and schemas of potential value for archival moving image description to enable interlinking between vocabularies currently in use and those which are used by external data sets. Alignment of vocabularies is often complicated by mismatches in granularity between vocabularies.

The focus is on how these models inform functional requirements for access and other archival activities, and how the field might benefit from having a common metadata model for critical archival descriptive activities.

By having a shared model, archivists may more easily align current vocabularies and develop new vocabularies and schemas to address the needs of moving image data creators and scholars.

Moving image archives, like other cultural institutions with significant heritage holdings, can benefit tremendously from investing in the semantic definition of information found in their information databases. While commercial entities such as search engines and data providers have already embraced the opportunities that semantic search provides for resource discovery, most non-commercial entities are just beginning to do so. Thus, this research addresses the benefits and challenges of enriching and enhancing archival moving image records with semantically defined information via LD.

The purpose of this paper is to highlight the potential strengths and weaknesses of the BIBFRAME bibliographic model and outline its purpose and key features. In addition, it discusses specific aspects of the model with respect to the pre-existing models of bibliographic description.

A review of source and secondary materials regarding BIBFRAME was undertaken, and a comparison of the conclusions derived from this literature was made to the pre-existing models of bibliographic description.

If the BIBFRAME Initiative can overcome what will likely be some significant challenges to the development and implementation of the model, BIBFRAME appears to be poised to become the next standard of bibliographic description and exchange for the library community.

The findings and conclusions of this paper are based upon an in-depth literature review, not on theoretical or empirical derivations or examples. As a result, further research of both theoretical and empirical natures need to be developed.

BIBFRAME may well become the next standard of bibliographic description and exchange for the library community, leading to significant changes in cataloging practices over the years.

To the extent that BIBFRAME can expand discovery mechanisms, the vast array of information currently available to information seekers will open up in previously unthought of ways.

This paper synthesizes a literature that was developed during a more preliminary design of the bibliographic model BIBFRAME and adds to the literature by discussing newer capabilities that have been designed into BIBFRAME 2.0.

Library‐world “languages of description” are increasingly being expressed using the resource description framework (RDF) for compatibility with linked data approaches. This article aims to look at how issues around the Dublin Core, a small “metadata element set,” exemplify issues that must be resolved in order to ensure that library data meet traditional standards for quality and consistency while remaining broadly interoperable with other data sources in the linked data environment.

The article focuses on how the Dublin Core – originally seen, in traditional terms, as a simple record format – came increasingly to be seen as an RDF vocabulary for use in metadata based on a “statement” model, and how new approaches to metadata evolved to bridge the gap between these models.

The translation of library standards into RDF involves the separation of languages of description, per se, from the specific data formats into which they have for so long been embedded. When defined with “minimal ontological commitment,” languages of description lend themselves to the sort of adaptation that is inevitably a part of any human linguistic activity. With description set profiles, the quality and consistency of data traditionally required for sharing records among libraries can be ensured by placing precise constraints on the content of data records – without compromising the interoperability of the underlying vocabularies in the wider linked data context.

In today's environment, library data must continue to meet high standards of consistency and quality, yet it must be possible to link or merge the data with sources that follow other standards. Placing constraints on the data created, more than on the underlying vocabularies, allows both requirements to be met.

This paper examines how issues around the Dublin Core exemplify issues that must be resolved to ensure library data meet quality and consistency standards while remaining interoperable with other data sources.

The purpose of this paper is to address the Internet of Things (IoT) service discovery problem and investigate the existing solutions to tackle this problem in many aspects.

This paper presents an overview of IoT services aiming at providing a clear understanding about their features because this term is still ambiguous for the IoT service discovery approaches. Besides, a full comparison study of the most representative service discovery approaches in the literature is presented over four perspectives: the IoT information model, the mechanism of IoT service discovery, the adopted architecture and the context awareness. These perspectives allow classifying, comparing and giving a deeper understanding of the existing IoT service discovery solutions.

This paper presents a new definition and a new classification of IoT services and citation of their features comparing with the traditional Web services. This paper discusses the existing solutions, as well as the main challenges, that face the service discovery issue in the IoT domain. Besides, two classifications of the approaches are adopted on the basis of their service description model and their mechanism of discovery, and a set of requirements that need to be considered when defining an IoT service are proposed.

There are few number works that survey the service discovery approaches in the IoT domain, but none of these surveys discuss the service description models in the IoT or the impact of the context awareness aspect in the service discovery solution. There are also few works that give a comprehensive overview of IoT services to understand their nature to facilitate their description and discovery. This paper fills this gap by performing a full comparison study of multi-category and recent approaches for service discovery in the IoT over many aspects and also by performing a comprehensive study of the IoT service features.

A general framework for mobile Web services ‐ which are Web services with the ability to migrate from one host to another ‐ is proposed. In this framework, a mobile Web service is composed of a combination of a BPEL process description, service components to be carried, and migration behavior descriptions using simple but expressive rules. The semantics of the descriptions are defined using Mobile Ambients, namely, a formal model of concurrent mobile processes. With this framework, it is thus possible to add or change migration behaviors without having to modify the BPEL process.

The purpose of this paper is to investigate the competency models used by organizations to assess the strategic thinking ability of their leaders, managers, and other employees.

A basic interpretive study was conducted with human resource executives across a broad range of large organizations. Participants were interviewed, and competency models in use were shared, reviewed, and discussed. The model development process was also explored in depth. Findings were verified via member checks and triangulation.

Models in use either identify strategic thinking as a stand-alone competency, or embed it under three different areas. Most cover one or more executive levels, stating varying expectations for strategic thinking by job title or level, or differentiating strategic thinking performance levels. The models include descriptions of strategic thinking behaviors that cross seven categories of strategy development, implementation, and organizational alignment.

The study provides indications of potential generalizations that should be considered with more organizations across sectors.

The findings provide practitioners with format and content examples to enhance the assessment of strategic thinking in existing competency models, as well as process considerations for model development/revision. The findings also identify how competency model components are used across the spectrum of talent management activities.

The study fills a gap in the literature by providing empirically based identification of the strategic thinking behaviors organizations consider essential competencies and how they are assessed. In so doing, the study provides a glimpse of how strategic thinking is used in practice and across a range of strategic management activities. In addition, the study links strategic thinking to the competency development literature, illustrating details of competency model development for strategic thinking, and identifying opportunities for related theory development in both domains.

The process of creating complex models often requires different modelling methods and tools to be integrated. This paper provides a concise description of an object‐oriented environment for creating composite models. The proposed approach is based on using simulation abstractions as basic model building blocks. The basic environment is built up of a Prolog interpreter, SIMLIB and object‐oriented Petri nets.