Establishing sustainable and scalable workflows for cataloging and metadata services

2016 ◽  
Vol 37 (6/7) ◽  
pp. 308-316 ◽  
Author(s):  
Myung-Ja K. Han
Keyword(s):  
Information Technologies ◽  
Soft Skills ◽  
Open Data ◽  
Semantic Web Technologies ◽  
Content Type ◽  
Research Libraries ◽  
Web Technologies ◽  
New Information ◽  
Metadata Standards ◽  
Library Collections

Purpose Academic and research libraries have been experiencing a lot of changes over the last two decades. The users have become technology savvy and want to discover and use library collections via web portals instead of coming to library gateways. To meet these rapidly changing users’ needs, academic and research libraries are busy identifying new service models and areas of improvement. Cataloging and metadata services units in academic and research libraries are no exception. As discovery of library collections largely depends on the quality and design of metadata, cataloging and metadata services units must identify new areas of work and establish new roles by building sustainable workflows that utilize available metadata technologies. The paper aims to discuss these issues. Design/methodology/approach This paper discusses a list of challenges that academic libraries’ cataloging and metadata services units have encountered over the years, and ways to build sustainable workflows, including collaborations between units in and outside of the institution, and in the cloud; tools, technologies, metadata standards and semantic web technologies; and most importantly, exploration and research. The paper also includes examples and uses cases of both traditional metadata workflows and experimentation with linked open data that were built upon metadata technologies and will ultimately support emerging user needs. Findings To develop sustainable and scalable workflows that meet users’ changing needs, cataloging and metadata professionals need not only to work with new information technologies, but must also be equipped with soft skills and in-depth professional knowledge. Originality/value This paper discusses how cataloging and metadata services units have been exploiting information technologies and creating new scalable workflows to adapt to these changes, and what is required to establish and maintain these workflows.

Enabling the Matchmaking of Organizations and Public Procurement Notices by Means of Linked Open Data

2013 ◽  
pp. 105-131 ◽  
Author(s):  
Jose María Alvarez Rodríguez ◽  
José Emilio Labra Gayo ◽  
Patricia Ordoñez de Pablos
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
Public Procurement ◽  
Open Data ◽  
Specific Information ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Domain Specific ◽  
The Status ◽  
Financial Transactions

The aim of this chapter is to present a proposal and a case study to describe the information about organizations in a standard way using the Linked Data approach. Several models and ontologies have been provided in order to formalize the data, structure and behaviour of organizations. Nevertheless, these tries have not been fully accepted due to some factors: (1) missing pieces to define the status of the organization; (2) tangled parts to specify the structure (concepts and relations) between the elements of the organization; 3) lack of text properties, and other factors. These divergences imply a set of incomplete approaches to formalize data and information about organizations. Taking into account the current trends of applying semantic web technologies and linked data to formalize, aggregate, and share domain specific information, a new model for organizations taking advantage of these initiatives is required in order to overcome existing barriers and exploit the corporate information in a standard way. This work is especially relevant in some senses to: (1) unify existing models to provide a common specification; (2) apply semantic web technologies and the Linked Data approach; (3) provide access to the information via standard protocols, and (4) offer new services that can exploit this information to trace the evolution and behaviour of the organization over time. Finally, this work is interesting to improve the clarity and transparency of some scenarios in which organizations play a key role, like e-procurement, e-health, or financial transactions.

scholarly journals The Integrated Management of Information about the Geodetic Point Fields—A Case of the Czech Republic

Geosciences ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 307 ◽  
Author(s):  
Karel Janečka
Keyword(s):  
Cyber Security ◽  
Information Technologies ◽  
Spatial Information ◽  
Integrated Management ◽  
Rapid Development ◽  
Spatial Database ◽  
Web Technologies ◽  
Security Issues ◽  
New Information ◽  
Available Information

The geodetic point fields play a crucial role in measuring a terrain, in surveying, and mapping applications. Due to the rapid development in the domain of information technologies, it makes sense to consider using the database and web technologies to manage and disseminate the available information about the geodetic point fields. The paper presents the creation of a spatial database which integrates the information about the various kinds of established geodetic point fields (horizontal, vertical and gravitational) with the aim of enabling their effective management. Furthermore, based on the integrated spatial database, the prototype of the new information system of geodetic point fields has been developed. The functionality of the prototype also considers the requirements coming from the international efforts, i.e., the Infrastructure for Spatial Information in Europe (INSPIRE) directive. The prototype, based on Java Enterprise Edition (EE) technology, implements the features reflecting the cyber-security issues and ensures the modularity and scalability of the system, which is important for further development of the system and dissemination and accessibility of the information about the geodetic point fields via modern web technologies.

scholarly journals Records in contexts: the road of archives to semantic interoperability

2017 ◽  
Vol 51 (4) ◽  
pp. 387-405 ◽  
Author(s):  
Dunia Llanes-Padrón ◽  
Juan-Antonio Pastor-Sánchez
Keyword(s):  
Semantic Web ◽  
Conceptual Model ◽  
Semantic Interoperability ◽  
Data Sets ◽  
Semantic Web Technologies ◽  
Content Type ◽  
Web Technologies ◽  
The Road ◽  
Owl Ontology

Purpose 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. Design/methodology/approach 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. Findings 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. Research limitations/implications The proposed ontology will follow the considerations of the final version of the ICA’s RiC-CM. Practical implications 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. Originality/value 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.

Extraction, analysis and publication of bibliographical references within an institutional repository

2016 ◽  
Vol 34 (2) ◽  
pp. 259-267 ◽  
Author(s):  
Götz Hatop
Keyword(s):  
Semantic Web ◽  
Citation Analysis ◽  
Open Source Software ◽  
Linked Data ◽  
Software Components ◽  
Institutional Repository ◽  
Semantic Web Technologies ◽  
Content Type ◽  
Web Technologies ◽  
Reference Information

Purpose – The academic tradition of adding a reference section with references to cited and otherwise related academic material to an article provides a natural starting point for finding links to other publications. These links can then be published as linked data. Natural language processing technologies are available today that can perform the task of bibliographical reference extraction from text. Publishing references by the means of semantic web technologies is a prerequisite for a broader study and analysis of citations and thus can help to improve academic communication in a general sense. The paper aims to discuss these issues. Design/methodology/approach – This paper examines the overall workflow required to extract, analyze and semantically publish bibliographical references within an Institutional Repository with the help of open source software components. Findings – A publication infrastructure where references are available for software agents would enable additional benefits like citation analysis, e.g. the collection of citations of a known paper and the investigation of citation sentiment.The publication of reference information as demonstrated in this article is possible with existing semantic web technologies based on established ontologies and open source software components. Research limitations/implications – Only a limited number of metadata extraction programs have been considered for performance evaluation and reference extraction was tested for journal articles only, whereas Institutional Repositories usually do contain a large number of other material like monographs. Also, citation analysis is in an experimental state and citation sentiment is currently not published at all. For future work, the problem of distributing reference information between repositories is an important problem that needs to be tackled. Originality/value – Publishing reference information as linked data are new within the academic publishing domain.

scholarly journals OpenCitations, an infrastructure organization for open scholarship

2020 ◽  
Vol 1 (1) ◽  
pp. 428-444 ◽  
Author(s):  
Silvio Peroni ◽  
David Shotton
Keyword(s):  
Semantic Web ◽  
Large Scale ◽  
Open Data ◽  
Data Sets ◽  
Citation Data ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Creative Commons ◽  
Citation Indexes ◽  
Description Framework

OpenCitations is an infrastructure organization for open scholarship dedicated to the publication of open citation data as Linked Open Data using Semantic Web technologies, thereby providing a disruptive alternative to traditional proprietary citation indexes. Open citation data are valuable for bibliometric analysis, increasing the reproducibility of large-scale analyses by enabling publication of the source data. Following brief introductions to the development and benefits of open scholarship and to Semantic Web technologies, this paper describes OpenCitations and its data sets, tools, services, and activities. These include the OpenCitations Data Model; the SPAR (Semantic Publishing and Referencing) Ontologies; OpenCitations’ open software of generic applicability for searching, browsing, and providing REST APIs over resource description framework (RDF) triplestores; Open Citation Identifiers (OCIs) and the OpenCitations OCI Resolution Service; the OpenCitations Corpus (OCC), a database of open downloadable bibliographic and citation data made available in RDF under a Creative Commons public domain dedication; and the OpenCitations Indexes of open citation data, of which the first and largest is COCI, the OpenCitations Index of Crossref Open DOI-to-DOI Citations, which currently contains over 624 million bibliographic citations and is receiving considerable usage by the scholarly community.

scholarly journals Assessing Large-Scale, Cross-Domain Knowledge Bases for Semantic Search

2020 ◽  
Vol 39 (3) ◽  
pp. 595-602
Author(s):  
Aatif Ahmad Khan ◽  
Sanjay Kumar Malik
Keyword(s):  
Domain Knowledge ◽  
Large Scale ◽  
Open Data ◽  
Knowledge Bases ◽  
Semantic Search ◽  
Semantic Web Technologies ◽  
Data Format ◽  
Web Technologies ◽  
Cross Domain ◽  
Description Framework

Semantic Search refers to set of approaches dealing with usage of Semantic Web technologies for information retrieval in order to make the process machine understandable and fetch precise results. Knowledge Bases (KB) act as the backbone for semantic search approaches to provide machine interpretable information for query processing and retrieval of results. These KB include Resource Description Framework (RDF) datasets and populated ontologies. In this paper, an assessment of the largest cross-domain KB is presented that are exploited in large scale semantic search and are freely available on Linked Open Data Cloud. Analysis of these datasets is a prerequisite for modeling effective semantic search approaches because of their suitability for particular applications. Only the large scale, cross-domain datasets are considered, which are having sizes more than 10 million RDF triples. Survey of sizes of the datasets in triples count has been depicted along with triples data format(s) supported by them, which is quite significant to develop effective semantic search models.

scholarly journals Post-pandemic tourism resilience: changes in Italians’ travel behavior and the possible responses of tourist cities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fabio Corbisiero ◽  
Salvatore Monaco
Keyword(s):  
Travel Behavior ◽  
Information Technologies ◽  
Online Survey ◽  
Specific Area ◽  
Content Type ◽  
Travel And Tourism ◽  
Sociological Approach ◽  
New Information ◽  
Tourism Sector ◽  
The Future

Purpose Since the outbreak of COVID-19 in early 2020, the travel sector has faced an intense challenge, making tourism one of the most affected sectors at the time of writing. Based on the results of a survey administered to a sample of 700 Italian tourists, this paper aims to acquire an empirical understanding of key challenges for the travel and tourism sector in the coming months and the possible responses of tourist cities. Design/methodology/approach To study tourism after the pandemic, OUT (University of Naples Tourism Research Center) has created an online survey to answer the following questions: What will tourism be like after the pandemic? What will the main changes in travel behaviors be? What role will new information technologies play in future tourism? Are there territorial differences based on the spread of the virus? Findings The pandemic has inevitably affected everyone’s tourist choices, regardless of how much their specific area of residence has been impacted by the virus. Consequently, it will significantly influence travelers’ experiences. The Italian tourists who were survey respondents are aware that physical distancing rules will probably remain in effect for an extended time and, therefore, they cannot imagine future tourism not conditioned by these measures. This does not mean that Italians will give up tourism in the short-medium term, however. Indeed, the research data highlight the resilient character of tourism in that it is transformed but does not cease to exist. Originality/value By studying the future through a sociological approach, it is possible to identify how the COVID-19 emergency will impact tourism and how both the form and social meaning of mobility will be conditioned. On the basis of the data, the analysis will be directed from the present to the post-pandemic horizon, hypothesizing possible scenarios for the future of tourism and providing some possible policy indications.

Applications, Methodologies, and Technologies for Linked Open Data

2020 ◽  
Vol 16 (3) ◽  
pp. 53-69
Author(s):  
Cecilia Avila-Garzon
Keyword(s):  
Semantic Web ◽  
Open Data ◽  
Linked Open Data ◽  
Business Culture ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Wide Range ◽  
Research And Education ◽  
User Friendly ◽  
Culture Education

Advances in semantic web technologies have rocketed the volume of linked data published on the web. In this regard, linked open data (LOD) has long been a topic of great interest in a wide range of fields (e.g. open government, business, culture, education, etc.). This article reports the results of a systematic literature review on LOD. 250 articles were reviewed for providing a general overview of the current applications, technologies, and methodologies for LOD. The main findings include: i) most of the studies conducted so far focus on the use of semantic web technologies and tools applied to contexts such as biology, social sciences, libraries, research, and education; ii) there is a lack of research with regard to a standardized methodology for managing LOD; and iii) a plenty of tools can be used for managing LOD, but most of them lack of user-friendly interfaces for querying datasets.

Knowledge Management in Virtual Enterprises

2008 ◽  
pp. 302-324
Author(s):  
Stavros T. Ponis ◽  
George Vagenas ◽  
Ilias P. Tatsiopoulos
Keyword(s):  
Knowledge Management ◽  
Information Technologies ◽  
Business Environment ◽  
Virtual Enterprises ◽  
Management Support ◽  
Semantic Web Technologies ◽  
Management Framework ◽  
Web Technologies ◽  
Knowledge Requirements

The new globalized and demanding business environment of the 21st century has created a shift from traditional organizations to more loose and flexible business schemes shaped in the form of Virtual Enterprises. This transformation would never have been successful without the support of Information Technologies and particularly the Web. Internet, in the last decade, has become the universal medium of interactions between distributed entities. In this chapter, the issue of Knowledge Management support for Virtual Enterprises is discussed. Building upon the current state of the art, this chapter aims to identify the major knowledge requirements of VEs, in an effort to provide a roadmap towards a holistic Knowledge Management framework that will satisfy the excessive knowledge needs of Virtual Enterprises at the interorganizational level. In that context, the role of supporting Web and Semantic Web technologies for the enactment of KM in VEs is described in detail.

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