BOLD (Big and Open Linked Data): what’s next?

2017 ◽  
Vol 34 (5) ◽  
pp. 10-13 ◽  
Author(s):  
Stuti Saxena
Keyword(s):  
Open Source ◽  
Linked Data ◽  
Design Methodology ◽  
Data Sets ◽  
Content Type ◽  
Data Architecture ◽  
Different Sources ◽  
Practical Implications

Purpose The purpose of this paper is to appreciate the futuristic trends of Big and Open Linked Data (BOLD). While designating the ongoing progress of BOLD as BOLD 0.0, the paper also identifies the trajectory of BOLD 0.0 as BOLD 1.0, BOLD 2.0 and BOLD 3.0 in terms of the complexity and management of data sets from different sources. Design/methodology/approach This is a viewpoint and the ideas presented here are personal. Findings The trajectory of BOLD shall witness ever-growing challenges as the nature and scope of data sets grow complicated. The paper posits that by the time BOLD would attain its maturity, there would be a need for newer technologies and data architecture platforms which are relatively affordable and available as “Open Source”, if possible. Research limitations/implications Being exploratory in approach, this viewpoint presents a futuristic trend, which may or may not be valid. Nevertheless, there are significant practical implications for the academicians and practitioners to appreciate the likely challenges in the coming times for ensuring the sustainability of BOLD. Originality/value While there are a number of studies on BOLD, there are no studies which seek to propose the possible trends in BOLD’s progress. This paper seeks to plug this gap.

Library automation with cloud based ILMS Librarika: case study of Central University of South Bihar

2016 ◽  
Vol 33 (7) ◽  
pp. 13-17 ◽  
Author(s):  
Mayank Yuvaraj
Keyword(s):  
Open Source ◽  
Design Methodology ◽  
Public Access ◽  
Content Type ◽  
Library Management ◽  
Library Automation ◽  
Evaluative Study ◽  
Data Ownership ◽  
Practical Implications

Purpose This paper aims to carry out an evaluative study of the cloud-based integrated library management solution (ILMS): Librarika. Design/methodology/approach An evaluation checklist was designed from the review of existing ILMSs as well as literature review. The checklist was distributed to the library staff of the Central University of South Bihar. Findings Librarika was found to be comparable with existing open-source ILMSs but lacked transparency of data. Librarika had all the features of the commonly available open-source ILMSs, like KOHA. However, respondents pointed out that Librarika had a better circulation module and online public access catalogue (OPAC) features compared to other ILMSs. Concerns over data ownership, migration and portability in the cloud were considered as the major bottlenecks in its adoption. Practical implications The study will help other libraries in decision-making who are considering Librarika for their ILMSs. Originality/value Till date, no evaluative study has been carried out on any cloud-based ILMS.

Enabling and integrating ETD repositories through linked data

2014 ◽  
Vol 35 (4/5) ◽  
pp. 284-292 ◽  
Author(s):  
Lucas Mak ◽  
Devin Higgins ◽  
Aaron Collie ◽  
Shawn Nicholson
Keyword(s):  
Linked Data ◽  
Data Sets ◽  
General Applicability ◽  
Institutional Assessment ◽  
Content Type ◽  
Data Architecture ◽  
New Perspective ◽  
Data Elements ◽  
Model Formation ◽  
Institutional Relationships

Purpose – The purpose of this paper is to illustrate that Electronic Theses and Dissertation (ETD) metadata can be used as data for institutional assessment and to map an extended research landscape when connected to other data sets through linked data models. Design/methodology/approach – This paper presents conceptual consideration of ideas behind linked data architecture to leverage ETD and attendant metadata to build a case for institutional assessment. Analysis of graph data support the considerations. Findings – The study reveals first and foremost that ETD metadata is in itself data. Concerns with creating URIs for data elements and general applicability of linked data model formation result. The analysis positively points up a rich environment of institutional relationships not readily found in traditional flat metadata records. Originality/value – This paper provides a new perspective in examining research landscape through ETDs produced by graduate students in higher education sector.

Mapping the cataloguing practices in information environment: a review of linked data challenges

2018 ◽  
Vol 119 (9/10) ◽  
pp. 586-596 ◽  
Author(s):  
Nazia Wahid ◽  
Nosheen Fatima Warraich ◽  
Muzammil Tahira
Keyword(s):  
Linked Data ◽  
Design Methodology ◽  
Information Sources ◽  
Relevant Literature ◽  
Information Environment ◽  
Content Type ◽  
Library Community ◽  
Information Professionals ◽  
Legacy Data ◽  
Practical Implications

Purpose This study aims to explore the development of cataloguing standards used to organize information sources in libraries and information centers. Its key objective is to assess the challenges faced by information professionals to apply new bibliographic standards in linked data (LD) environment. Design/methodology/approach This study is based on extensive review of scholarly literature. Several databases were searched to identify relevant literature. Keywords such as RDA, FRBR, MARC and BIBFRAME were used along with LD to conduct search. Related literature was consulted and reviewed accordingly. Findings Findings reveal that cataloguing standards are subsequently evolving with the advancement of information technology. Libraries have been publishing their legacy metadata into LD. Many tools are developed for mapping the library metadata into LD applications. The Library of Congress has developed BIBFRAME model to fulfill the requirements of new bibliographic standards by using LD technology. It is found that extensive use of MARC standards, complexity of LD technologies, non-availability of vocabulary and inconsistency of terminologies are the major challenges for libraries to adopt LD applications. Practical implications This review will be a valuable addition for LIS scholars to understand the challenges of LD application. This study would be significant for the library community and policymakers who are interested in implementing LD technologies. Originality/value This paper is a one of its kind, where the development in cataloguing models and standards is explained along with the challenges to adopt LD applications for legacy data.

scholarly journals Gender bias in sentiment analysis

2018 ◽  
Vol 42 (1) ◽  
pp. 45-57 ◽  
Author(s):  
Mike Thelwall
Keyword(s):  
Sentiment Analysis ◽  
Gender Bias ◽  
Design Methodology ◽  
Data Sets ◽  
Men And Women ◽  
Content Type ◽  
Males And Females ◽  
The Uk ◽  
Gender Specific ◽  
Practical Implications

Purpose The purpose of this paper is to test if there are biases in lexical sentiment analysis accuracy between reviews authored by males and females. Design/methodology/approach This paper uses data sets of TripAdvisor reviews of hotels and restaurants in the UK written by UK residents to contrast the accuracy of lexical sentiment analysis for males and females. Findings Male sentiment is harder to detect because it is less explicit. There was no evidence that this problem could be solved by gender-specific lexical sentiment analysis. Research limitations/implications Only one lexical sentiment analysis algorithm was used. Practical implications Care should be taken when drawing conclusions about gender differences from automatic sentiment analysis results. When comparing opinions for product aspects that appeal differently to men and women, female sentiments are likely to be overrepresented, biasing the results. Originality/value This is the first evidence that lexical sentiment analysis is less able to detect the opinions of one gender than another.

Technological change, today and yesterday

2016 ◽  
Vol 33 (1) ◽  
pp. 5-8 ◽  
Author(s):  
Donna E Frederick
Keyword(s):  
Linked Data ◽  
Design Methodology ◽  
Open Data ◽  
Information Environment ◽  
Open Access Publishing ◽  
Content Type ◽  
New Ideas ◽  
New Beginnings ◽  
Exciting Time ◽  
Practical Implications

Purpose – The inaugural installment of the column data deluge and open knowledge comes at the close of a year which saw changes, developments and new beginnings for libraries in the areas of linked data, open data, metadata, open access publishing and other related movements. Design/methodology/approach – The methodology adopted is a literature review. Findings – Sometimes, changes in the information environment present themselves like towering waves crashing into rugged cliffs and librarians stand at the edge in awe of the spectacle. At other times, despite the crashing waves, librarians lead massive projects to build the standards and infrastructure to capture the water and direct its flow. Practical implications – The overall trend for the latter librarians is toward developing and adopting new ideas, methods, approaches and services to support finding and sharing data in an increasingly large and complex online context. As many of author’s colleagues have commented in recent years, “now is an exciting time to be a librarian”. Originality/value – The author heartily agree and look forward to sharing, through this column, the highlights of these exciting times.

scholarly journals Using structural equation modeling: patterns and trends of publications in Brazilian journals

2018 ◽  
Vol 25 (3) ◽  
pp. 291-302
Author(s):  
Jorge Ramón D’Acosta Rivera ◽  
Rafael Ricardo Jacomossi ◽  
Alcides Barrichello ◽  
Rogerio Scabim Morano
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Content Type ◽  
Scientific Databases ◽  
Literature Reviews ◽  
Almost All ◽  
Different Sources ◽  
Practical Implications

Purpose The purpose of this paper is to analyze patterns and trends of articles that present the use of structural equation modeling (SEM) and that were published in several Brazilian journals. In addition, this paper maps the institutions where the authors of the identified articles are affiliated, and discusses aspects of searching the articles in journals’ archives and other scientific databases. Design/methodology/approach The work used bibliometrics, which is one of the forms of evaluation and measurement of information flows in scientific knowledge, using mathematical and statistical methods. Findings The study showed an exponential growth in using SEM in several areas in recent years, with predominance in marketing. Most of the publications were produced by authors from institutions such as USP, FGV and UFRGS, but most authors published only one article using SEM. Almost all published articles used one of the three most common software, especially AMOS®. Surprisingly, many articles did not mention the software used, indicating methodological flaw. Practical implications Weaknesses were found regarding the search for articles in the different sources used, indicating that, for literature reviews, the research should be conducted in several databases in a complementary way and not alternatively. This fact becomes critical especially when expressions in languages other than Portuguese were used. This situation suggests an aggravating lack of visibility for the Brazilian scientific community since the articles are less likely to be found. Originality/value The paper shows that among the various techniques of multivariate data analysis used in the field of administration, SEM has gained prominence being operationalized using specific software.

Ontology assessment based on linked data principles

2018 ◽  
Vol 14 (4) ◽  
pp. 453-479
Author(s):  
Leila Zemmouchi-Ghomari ◽  
Kaouther Mezaache ◽  
Mounia Oumessad
Keyword(s):  
Linked Data ◽  
Design Methodology ◽  
State Of The Art ◽  
Experimental Results ◽  
Data Sets ◽  
Content Type ◽  
Detailed Interpretation

Purpose The purpose of this paper is to evaluate ontologies with respect to the linked data principles. This paper presents a concrete interpretation of the four linked data principles applied to ontologies, along with an implementation that automatically detects violations of these principles and fixes them (semi-automatically). The implementation is applied to a number of state-of-the-art ontologies. Design/methodology/approach Based on a precise and detailed interpretation of the linked data principles in the context of ontologies (to become as reusable as possible), the authors propose a set of algorithms to assess ontologies according to the four linked data principles along with means to implement them using a Java/Jena framework. All ontology elements are extracted and examined taking into account particular cases, such as blank nodes and literals. The authors also provide propositions to fix some of the detected anomalies. Findings The experimental results are consistent with the proven quality of popular ontologies of the linked data cloud because these ontologies obtained good scores from the linked data validator tool. Originality/value The proposed approach and its implementation takes into account the assessment of the four linked data principles and propose means to correct the detected anomalies in the assessed data sets, whereas most LD validator tools focus on the evaluation of principle 2 (URI dereferenceability) and principle 3 (RDF validation); additionally, they do not tackle the issue of fixing detected errors.

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.

Maximizing agreement on diverse ontologies with “wisdom of crowds” relation classification

2014 ◽  
Vol 38 (5) ◽  
pp. 616-633 ◽  
Author(s):  
Maayan Zhitomirsky-Geffet ◽  
Eden Shalom Erez
Keyword(s):  
Cultural Heritage ◽  
Design Methodology ◽  
Shared Knowledge ◽  
Data Sets ◽  
Wisdom Of Crowds ◽  
Content Type ◽  
Limited Size ◽  
Relation Classification ◽  
Practical Implications

Purpose – Ontologies are defined as consensual formal conceptualisation of shared knowledge. However, the explicit overlap between diverse ontologies is usually very low since they are typically constructed by different experts. Hence, the purpose of this paper is to suggest to exploit “wisdom of crowds” to assess the maximal potential for inter-ontology agreement on controversial domains. Design/methodology/approach – The authors propose a scheme where independent ontology users can explicitly express their opinions on the specified set of ontologies. The collected user opinions are further employed as features for machine classification algorithm to distinguish between the consensual ontological relations and the controversial ones. In addition, the authors devised new evaluation methods to measure the reliability and accuracy of the presented scheme. Findings – The accuracy of the relation classification (90 per cent) and the reliability of user agreement annotations were quite high (over 90 per cent). These results indicate a fair ability of the scheme to learn the maximal set of consensual relations out of the specified set of diverse ontologies. Research limitations/implications – The data sets and the group of participants in our experiments were of limited size and thus the presented results are promising but cannot be generalised at this stage of research. Practical implications – A diversity of opinions expressed by different ontologies has to be resolved in order to digitise many domains of knowledge (e.g. cultural heritage, folklore, medicine, economy, religion, history, art). This work presents a methodology to formally represent this diverse knowledge in a rich semantic scheme where there is a need to distinguish between the commonly shared and the controversial relations. Originality/value – To the best of the knowledge this is a first proposal to consider crowd-based evaluation and classification of ontological relations to maximise the inter-ontology agreement.

scholarly journals A new conceptual framework for memorable Airbnb experiences: guests’ perspectives

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Erose Sthapit ◽  
Peter Björk ◽  
Dafnis N. Coudounaris ◽  
Matthew J. Stone
Keyword(s):  
Conceptual Framework ◽  
Design Methodology ◽  
Positive Emotion ◽  
Negative Experiences ◽  
Content Type ◽  
The Past ◽  
Rental Property ◽  
Qualitative Nature ◽  
Different Sources ◽  
Practical Implications

Purpose This qualitative study aims to explore the activities that guests perform while staying in Airbnbs, emotions associated with these experiences and the components of memorable Airbnb experiences. Design/methodology/approach An empirical study of a qualitative nature was conducted using a self-administered open-ended questionnaire among tourists who had stayed in an Airbnb in the past three years. Data were collected using two different sources for triangulation purposes, referred to as Studies 1 and 2. Findings Many respondents reported conducting similar activities while at home and while staying in an Airbnb, supporting Burch’s (1969) spill-over theory. Travellers mostly recalled mundane activities, such as cooking. The results suggest that the spill-over effect is more prevalent in the Airbnb context than in other accommodation types, as one often travels from one’s own home to another’s home. Respondents associated their Airbnb experience with the positive emotion of joy. Respondents mentioned numerous reasons for having felt joy during their Airbnb experiences, such as sharing the trip with travel companions and spending time with friends. Practical implications Airbnb should clearly define host’s tasks and responsibilities, hosts should treat guests in a friendly manner, which includes resolving any problems they face in relation to the rental property. Originality/value This paper proposes a new conceptual framework for a memorable Airbnb experience, which comprises several components: socialising and bonding with friends and family members, location, the host’s hospitality, a homely feeling, home amenities and negative experiences (the poor condition of the room and a dishonest host).

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