scholarly journals Mapping subjectivity: performing people-centered vocabulary alignment

NASKO ◽  
2011 ◽  
Vol 3 (1) ◽  
pp. 174
Author(s):  
Cristina Pattuelli
Keyword(s):  
Cultural Heritage ◽  
Knowledge Sharing ◽  
Linked Data ◽  
Personal Information ◽  
Semantic Integration ◽  
Information Representation ◽  
Related Information ◽  
Knowledge Organization Systems ◽  
New Generation ◽  
The Web

This paper describes a mapping of linked data vocabularies in the area of person-related information. Aligning vocabulary terms may help curb the problem of property proliferation that occurs in linked data environments. It also facilitates the process of choosing semantics for vocabulary extensions and integration in the context of linked data applications. Although a work in progress, this investigation would provide support for semantic integration and for knowledge sharing and reuse in the area of personal information representation. It also offers an opportunity to reflect on a new generation of knowledge organization systems such as linked data vocabularies that have started to populate the web and are converging with new representation models and discovery tools in libraries and other cultural heritage institutions.

Knowledge Organization Systems for the Representation of Multimedia Resources on the Web: A Comparative Analysis

2020 ◽  
Vol 47 (4) ◽  
pp. 300-319
Author(s):  
Daniela Lucas da Silva Lemos ◽  
Renato Rocha Souza
Keyword(s):  
Semantic Integration ◽  
Multimedia Content ◽  
The Internet ◽  
Multimedia Annotation ◽  
Multimedia Resources ◽  
Metadata Standards ◽  
Knowledge Organization Systems ◽  
Production Organization ◽  
The Web

The lack of standardization in the production, organization and dissemination of information in documentation centers and institutions alike, as a result from the digitization of collections and their availability on the internet has called for integration efforts. The sheer availability of multimedia content has fostered the development of many distinct and, most of the time, independent metadata standards for its description. This study aims at presenting and comparing the existing standards of metadata, vocabularies and ontologies for multimedia annotation and also tries to offer a synthetic overview of its main strengths and weaknesses, aiding efforts for semantic integration and enhancing the findability of available multimedia resources on the web. We also aim at unveiling the characteristics that could, should and are perhaps not being highlighted in the characterization of multimedia resources.

H-SPOOL

2016 ◽  
Vol 12 (3) ◽  
pp. 359-378 ◽  
Author(s):  
Takahiro Komamizu ◽  
Toshiyuki Amagasa ◽  
Hiroyuki Kitagawa
Keyword(s):  
Linked Data ◽  
Design Methodology ◽  
Query Language ◽  
Numerical Data ◽  
Online Analytical Processing ◽  
Data Sets ◽  
Content Type ◽  
Related Information ◽  
Analytical Processing ◽  
The Web

Purpose Linked data (LD) has promoted publishing information, and links published information. There are increasing number of LD datasets containing numerical data such as statistics. For this reason, analyzing numerical facts on LD has attracted attentions from diverse domains. This paper aims to support analytical processing for LD data. Design/methodology/approach This paper proposes a framework called H-SPOOL which provides series of SPARQL (SPARQL Protocol and RDF Query Language) queries extracting objects and attributes from LD data sets, converts them into star/snowflake schemas and materializes relevant triples as fact and dimension tables for online analytical processing (OLAP). Findings The applicability of H-SPOOL is evaluated using exiting LD data sets on the Web, and H-SPOOL successfully processes the LD data sets to ETL (Extract, Transform, and Load) for OLAP. Besides, experiments show that H-SPOOL reduces the number of downloaded triples comparing with existing approach. Originality/value H-SPOOL is the first work for extracting OLAP-related information from SPARQL endpoints, and H-SPOOL drastically reduces the amount of downloaded triples.

Data transforms, patterns and profiles for 21st century Cultural Heritage

2015 ◽  
Author(s):  
Uche Ogbuji ◽  
Mark Baker
Keyword(s):  
Cultural Heritage ◽  
Linked Data ◽  
High Performance ◽  
Large Scale ◽  
Public Libraries ◽  
Public Library ◽  
Web Pages ◽  
Dramatic Improvement ◽  
Web Resource ◽  
The Web

If you search for books and other media on the Web, you find Amazon, Wikipedia, and many other resources long before you see any libraries. This is a historical problem of librarians' having started ahead of the state of the art in database technologies, and yet unable to keep up with mainstream computing developments, including the Web. As a result, libraries are left with extraordinarily rich catalogs in formats which are unsuited to the Web, and which need a lot of work to adapt for the Web. A first step towards addressing this problem, BIBFRAME is a model developed for representing metadata from libraries and other cultural heritage institutions in linked data form. Libhub is a project building on BIBFRAME to convert traditional library formats, especially MARC/XML, to Web resource pages using BIBFRAME and other vocabulary frameworks. The technology used to implement Libhub transforms MARC/XML to a semi-structured, RDF-like metamodel called Versa, from which various outputs are possible, including data-rich Web pages. The authors developed a pipeline processing technology in Python in order to address the need for high performance and scalability as well as a prodigious degree of customization to accommodate a half century of variations and nuances in library cataloging conventions. The heart of this pipelining system is in the open-source project pybibframe, and the main way to customize the transform for non-technical librarians is a pattern microlanguage called marcpatterns.py. Using marcpatterns.py recipes specialized for the first Libhub participant, Denver Public Library, further specialized from common patterns among public libraries, (FIXME - not quite sure what is being said here) The first prerelease of linked data Web pages has already demonstrated the dramatic improvement in visibility for the library and quality, curated content for the Web, made possible through the adaptive, semistructured transform from notoriously abstruse library catalog formats. This paper discusses an unorthodox approach to structured and heuristics-based transformation from a large corpus of XML in a difficult format which doesn't well serve the richness of its content. It covers some of the pragmatic choices made by developers of the system who happen to be pioneering advocates of The Web, markup, and standards around these, but who had to subordinate purity to the urgent need to effect large-scale exposure of dark cultural heritage data in difficult circumstances for a small development and maintenance team. This is a case study of where proper knowledge of XML and its related standards must combine with agile techniques and "worse-is-better" concessions to solve a stubborn problem in extracting value from cultural heritage markup.

Knowledge Sharing for Cultural Heritage 2.0

2014 ◽  
Vol 6 (2) ◽  
pp. 24-36 ◽  
Author(s):  
Francesca Bertacchini ◽  
Assunta Tavernise
Keyword(s):  
Cultural Heritage ◽  
Knowledge Sharing ◽  
Ancient Greece ◽  
Digital Data ◽  
Historical Period ◽  
Magna Graecia ◽  
Web Community ◽  
The Web

The word “prosumer” indicates the mixture of the terms “producer” and “consumer”: even if the term is almost recent, prosumers were already present in the historical period of ancient Greece and Magna Græcia (between the VII century b.C. and the I century A.D.). In this view, the platform Cultural Heritage 2.0 can be considered a digital “agora”: like the Greek square-marketplace, where there was exchange of goods and ideas, the system allows the gathering of an extensive amount of digital data and an interesting exchange of culture. The aim of this paper is to present Cultural Heritage 2.0, that offers the opportunity to mix heterogeneous contents in unusual amalgams, according to the imagination and design of the users-prosumers in the Web community.

A cross-sectional survey among physicians on Internet use for epilepsy-related information (Preprint)

2019 ◽  
Author(s):  
Francesco Brigo ◽  
Simona Lattanzi ◽  
Giorgia Giussani ◽  
Laura Tassi ◽  
Nicola Pietrafusa ◽  
...  
Keyword(s):  
Internet Use ◽  
The Internet ◽  
Online Information ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Related Information ◽  
Internet Users ◽  
Therapeutic Decisions ◽  
The Individual ◽  
The Web

BACKGROUND The Internet has become one of the most important sources of health information, accessed daily by an ever-growing number of both patients and physicians, seeking medical advice and clinical guidance. A deeper insight into the current use of the Web as source of information on epilepsy would help in clarifying the individual attitude towards this medium by Internet users. OBJECTIVE We investigated views towards the Internet in a sample of Italian healthcare specialists involved in epilepsy field, to explore factors which explained the influence of information found on the internet. METHODS This study was a self-administered survey conducted in a group of members of the Italian Chapter of the International League Against Epilepsy (ILAE) in January 2018. RESULTS 184 questionnaires were analyzed. 97.8% of responders reported to seek online information on epilepsy. The Internet was most frequently searched to obtain new information (69.9%) or to confirm a diagnostic or therapeutic decision (37.3%). The influence of consulting the Internet on clinical practice was associated with registration to social network(s) (OR: 2.94; 95%CI: 1.28-6.76; p=0.011), higher frequency of Internet use (OR: 3.66; 95%CI: 1.56-9.21; p=0.006) and higher confidence in reliability of online information (OR: 2.61; 95%CI: 1.09-6.26; p=0.031). No association was found with age, sex, years in epilepsy practice or easiness to find online information. CONCLUSIONS Internet is frequently used among healthcare professionals involved in the epilepsy to obtain information about this disease. The attitude of being influenced by the Internet for diagnostic and/or therapeutic decisions in epilepsy is independent on age and years of experience in epilepsy, and probably reflects an individual approach towards the Web.

scholarly journals Specifying and Executing User Agents in an Environment of Reasoning and RESTful Systems Using the Guard-Stage-Milestone Approach

2021 ◽  
Author(s):  
Tobias Käfer ◽  
Benjamin Jochum ◽  
Nico Aßfalg ◽  
Leonard Nürnberg
Keyword(s):  
Linked Data ◽  
Operational Semantics ◽  
Workflow Management ◽  
Management Systems ◽  
Workflow Management Systems ◽  
The Web

AbstractFor Read-Write Linked Data, an environment of reasoning and RESTful interaction, we investigate the use of the Guard-Stage-Milestone approach for specifying and executing user agents. We present an ontology to specify user agents. Moreover, we give operational semantics to the ontology in a rule language that allows for executing user agents on Read-Write Linked Data. We evaluate our approach formally and regarding performance. Our work shows that despite different assumptions of this environment in contrast to the traditional environment of workflow management systems, the Guard-Stage-Milestone approach can be transferred and successfully applied on the web of Read-Write Linked Data.

Using ISO and Semantic Web standard for building a multilingual terminology e-Dictionary: A use case of Chinese ceramic vases

2021 ◽  
pp. 016555152110221
Author(s):  
Tong Wei ◽  
Christophe Roche ◽  
Maria Papadopoulou ◽  
Yangli Jia
Keyword(s):  
Semantic Web ◽  
Cultural Heritage ◽  
Knowledge Sharing ◽  
Use Case ◽  
Knowledge Infrastructure ◽  
Ming And Qing Dynasties ◽  
New Perspective ◽  
Digital Protection ◽  
Protection Of Cultural Heritage

Cultural heritage is the legacy of physical artefacts and intangible attributes of a group or society that is inherited from past generations. Terminology is a tool for the dissemination and communication of cultural heritage. The lack of clearly identified terminologies is an obstacle to communication and knowledge sharing. Especially, for experts with different languages, it is difficult to understand what the term refers to only through terms. Our work aims to respond to this issue by implementing practices drawn from the Semantic Web and ISO Terminology standards (ISO 704 and ISO 1087-1) and more particularly, by building in a W3C format ontology as knowledge infrastructure to construct a multilingual terminology e-Dictionary. The Chinese ceramic vases of the Ming and Qing dynasties are the application cases of our work. The method of building ontology is the ‘term-and-characteristic guided method’, which follows the ISO principles of Terminology. The main result of this work is an online terminology e-Dictionary. The terminology e-Dictionary could help archaeologists communicate and understand the concepts denoted by terms in different languages and provide a new perspective based on ontology for the digital protection of cultural heritage. The e-Dictionary was published at http://www.dh.ketrc.com/e-dictionary.html .

scholarly journals Big Data Analytics for Search Engine Optimization

2020 ◽  
Vol 4 (2) ◽  
pp. 5 ◽  
Author(s):  
Ioannis C. Drivas ◽  
Damianos P. Sakas ◽  
Georgios A. Giannakopoulos ◽  
Daphne Kyriaki-Manessi
Keyword(s):  
Big Data ◽  
Cultural Heritage ◽  
Search Engine ◽  
Data Analytics ◽  
User Behavior ◽  
Big Data Analytics ◽  
Data Types ◽  
Search Engine Optimization ◽  
The Impact ◽  
The Web

In the Big Data era, search engine optimization deals with the encapsulation of datasets that are related to website performance in terms of architecture, content curation, and user behavior, with the purpose to convert them into actionable insights and improve visibility and findability on the Web. In this respect, big data analytics expands the opportunities for developing new methodological frameworks that are composed of valid, reliable, and consistent analytics that are practically useful to develop well-informed strategies for organic traffic optimization. In this paper, a novel methodology is implemented in order to increase organic search engine visits based on the impact of multiple SEO factors. In order to achieve this purpose, the authors examined 171 cultural heritage websites and their retrieved data analytics about their performance and user experience inside them. Massive amounts of Web-based collections are included and presented by cultural heritage organizations through their websites. Subsequently, users interact with these collections, producing behavioral analytics in a variety of different data types that come from multiple devices, with high velocity, in large volumes. Nevertheless, prior research efforts indicate that these massive cultural collections are difficult to browse while expressing low visibility and findability in the semantic Web era. Against this backdrop, this paper proposes the computational development of a search engine optimization (SEO) strategy that utilizes the generated big cultural data analytics and improves the visibility of cultural heritage websites. One step further, the statistical results of the study are integrated into a predictive model that is composed of two stages. First, a fuzzy cognitive mapping process is generated as an aggregated macro-level descriptive model. Secondly, a micro-level data-driven agent-based model follows up. The purpose of the model is to predict the most effective combinations of factors that achieve enhanced visibility and organic traffic on cultural heritage organizations’ websites. To this end, the study contributes to the knowledge expansion of researchers and practitioners in the big cultural analytics sector with the purpose to implement potential strategies for greater visibility and findability of cultural collections on the Web.

scholarly journals Influencing Mechanism of Job Satisfaction on Safety Behavior of New Generation of Construction Workers Based on Chinese Context: The Mediating Roles of Work Engagement and Safety Knowledge Sharing

2020 ◽  
Vol 17 (22) ◽  
pp. 8361
Author(s):  
Guodong Ni ◽  
Yuanyuan Zhu ◽  
Ziyao Zhang ◽  
Yaning Qiao ◽  
Huaikun Li ◽  
...  
Keyword(s):  
Job Satisfaction ◽  
Knowledge Sharing ◽  
Work Engagement ◽  
Construction Workers ◽  
Safety Behavior ◽  
Construction Companies ◽  
Mediating Role ◽  
Influencing Mechanism ◽  
Safety Knowledge ◽  
New Generation

China’s construction industry developed rapidly and safety production has become a vital issue. Improving the safety behavior of construction workers is an important measure to effectively decrease construction safety accidents. At present, a New Generation of Construction Workers (NGCWs) born after 1980 has gradually become the main force of construction companies in China and the special group characteristics coming from the intergenerational difference may make them behave differently in safety-related activities, therefore, it is very important to study how to promote their safety behavior. This paper aimed to explore the influencing mechanism of job satisfaction on the safety behavior of NGCWs and examine the mediating role of safety knowledge sharing and work engagement. Confirmatory factor analysis and structural equation modeling analysis were applied to test the theoretical model. Empirical research results indicated that job satisfaction can effectively promote safety behavior through safety knowledge sharing and work engagement. Safety knowledge sharing plays a complete mediating role between job satisfaction and safety compliance behavior, as well as between job satisfaction and safety participation behavior. Moreover, work engagement plays a complete mediating role between job satisfaction and safety participation behavior, which can provide valuable management references for China’s construction companies to strengthen their safety behavior.

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