scholarly journals Linked Data Generation for the University Data From Legacy Database

2011 ◽  
Vol 2 (3) ◽  
pp. 21-31 ◽  
Author(s):  
Arup Sarkar ◽  
Ujjal Marjit ◽  
Utpal Biswas
2016 ◽  
Vol 60 (4) ◽  
pp. 223 ◽  
Author(s):  
Qiang Jin ◽  
Jim Hahn ◽  
Gretchen Croll

With support from an internal innovation grant from the University of Illinois Library at Urbana-Champaign, researchers transformed and enriched nearly 300,000 e-book records in their library catalog from Machine-Readable Cataloging (MARC) records to Bibliographic Framework (BIBFRAME) linked data resources. Researchers indexed the BIBFRAME resources online, and created two search interfaces for the discovery of BIBFRAME linked data. One result of the grant was the incorporation of BIBFRAME resources within an experimental Bento view of the linked library data for e-books. The end goal of this project is to provide enhanced discovery of library data, bringing like sets of content together in contemporary and easy to understand views assisting users in locating sets of associated bibliographic metadata.


Author(s):  
Anastasia Dimou ◽  
Gerald Haesendonck ◽  
Martin Vanbrabant ◽  
Laurens De Vocht ◽  
Ruben Verborgh ◽  
...  

2019 ◽  
Vol 46 (3) ◽  
pp. 419-433 ◽  
Author(s):  
Övünç Öztürk ◽  
Tuğba Özacar

This article is a proof-of-concept case study to evaluate the functionality of a block metaphor–based linked data generator. In this work, we chose to produce linked data repository of recipes, which provide a medium for people to share their regional and healthy recipes with the masses. However, the same approach can also be adapted easily to other domains. Therefore, the applicability of our approach extends well beyond the food domain that we are considering in this article. As a medium for information sharing and understanding between heterogeneous systems, ontologies will play an important role in the realisation of the Internet of things (IoT) vision. Therefore, an ontology-based recipe repository would also be one of the basic blocks of a smart kitchen environment. However, building ontologies is a challenging task, especially for users who are not conversant in the ontology building languages. This article proposes an approach that can be used even by non-experts and facilitates the sharing and searching of recipe data. In our case, we exploit the features of the block paradigm to publish recipes in Linked Data format. In this way, users do not have to know the OWL (Web Ontology Language) syntax and the text input is kept minimal. As far as we know, this article is the first study that produces linked data using Blockly in the literature. We also conducted a user-based evaluation of the proposed approach using the System Usability Scale (SUS) questionnaire.


2018 ◽  
Vol 19 (1) ◽  
pp. 53-65 ◽  
Author(s):  
Kay Grieves

Purpose The purpose of this paper is to share how the maturing value and impact model at The University of Sunderland is enabling the author to generate evidence and articulate the insights. The author draws from that evidence to inform and underpin the strategic service planning, resourcing and reporting. Design/methodology/approach The author will demonstrate how impactful articulation of these insights through data visualisation is enabling the author to employ thought leadership in the relationship management with stakeholders by increasing their understanding of the benefit of engagement with the service offers and demonstrating value for money and the value and impact of the role in achieving institutional objectives. The paper will give an overview of the key techniques of the model and will then demonstrate its practical applications using the following examples: how the model is underpinning the approaches to thought leadership in relationship management by enabling the author to effectively generate and articulate evidence to inform strategic faculty action plans; how the model has enabled the authors to develop a new graphical approach to annual reporting. By combining the variety of data sets generated by the model, the author is able to articulate the outputs and impacts of cross-service holistic service offers and clearly demonstrate how institutional strategic objectives are fulfilled. Findings The author will discuss the key findings including: the importance of embedding the model at the heart of the service culture – both in terms of involving staff in data generation and of developing an evidence-based culture of service planning; the benefit of meaningful data, analysis and insights in helping to inform and underpin strategic conversations and relationship management; the transferability of the model across service settings; the agility of a snapshot approach in enabling the authors to evidence and inform current strategic service priorities; the impact of a “rounded narrative” technique in articulating powerful human insights which demonstrate engagement, impact and value; and the importance of creative data-visualisation techniques in communicating the insights for maximum impact with the customers and stakeholders. Research limitations/implications This case study demonstrates the approach taken to fulfil a specific strategic need at one UK HE institution. Therefore, the readers are encouraged to consider the approach within that context. Originality/value This paper shares how a strategic approach to capturing and communicating value and impact evidence can contribute to thought leadership in articulating library impact.


1970 ◽  
Vol 15 (1) ◽  
pp. 13
Author(s):  
Susan Borda

In 2018, the Deep Blue Repositories and Research Data Services (DBRRDS) team at the University of Michigan Library began working with the University of Michigan Museum of Zoology (UMMZ) to provide a persistent and sustainable (i.e., non-grant funded, institutionally supported) solution for their part of the National Science Foundation’s (NSF) openVertebrate (oVert) initiative. The objective of oVert is to the digitize scientific collections of thousands of vertebrate specimens stored in jars on museum shelves and make the data freely accessible to researchers, students, classrooms, and the general public anywhere in the world. The University of Michigan (U-M) is one of five scanning centers working on oVert and will contribute scans of more than 3,500 specimens from the UMMZ collections (Erickson 2017). In addition to ingesting scans, the project involved developing methods to work around several significant system constraints: Deep Blue Data’s file structure (flat files only, no folders) and the closed use of Specify, UMMZ’s specimen database, for specimen metadata. DBRRDS had to create a completely new workflow for handling batch deposits at regular intervals, develop scripts to reorganize the data (according to a third-party data model) and augment the metadata using a third-party resource, Global Biodiversity Information Facility (GBIF). This paper will describe the following aspects of the UMMZ CT Scanning Project partnership in greater detail: data generation, metadata requirements, workflows, code development, lessons learned, and next steps.  


Author(s):  
Oskars Rasnacs ◽  
Maris Vitins

The authors of the present article are investigating the influence of the data generation in the university courses of informatics and statistics (UCIS) on the acquisition of both the UCIS and other study courses in the health care specialities. First of all, the authors inquired students in order to find out their attitude to the UCIS. The inquiry results show evidence that an important role in the acquisition of UCIS has the work/study material – data. The UCIS work/study material can be associated with various branches, including health care. The data of the health care patients are of a special status. Their use is strictly regulated/limited.by legislation. The authors of the present article offer an acceptable solution – data associated with the health care patients are generated from the parameters of statistics of scientific publications. Investigations were performed in the Red Cross Medical College of Rīga Stradiņš University (RCMC of RSU). It was found out that the data generation resulted in higher marks both in UCIS and many other study courses. In this article, the authors present proposals how to generate data comparatively easy, apply traditional MS Excel generation tools as well as tools of Goal Seek and Solver. 


Author(s):  
M. Canciani ◽  
F. Chiappetta ◽  
M Michelini ◽  
E. Pallottino ◽  
M. Saccone ◽  
...  

For the last fifteen years the Faculty of Architecture at the University of Roma Tre, has been working on the famous Villa Adriana in Tivoli, studying its ruins and its ancient paths, in order to better understand how the villa was originally laid out. In this paper, we will talk about one of these studies, which reconnect previous works and creates a new GIS based map of Villa Adriana.<br><br> The goal of this study is to create a cultural heritage evaluation. In order to achieve this aim, we have created a multimedia guide with text, drawings, 3D reconstructions and augmented reality. This work can be summarized in five steps; first of all, a new georeferenced plan was created. This drawing is based on an orthophoto and brings together all existing surveys (from historical drawings to recent surveys). In this new work we show the current status of the ruins and the original layout of Villa Adriana according to the most recent study. The second step was a 3D survey, with extensive use of photogrammetry to verify and upgrade drawings. The next and third step involved creating the Database, within which to store, edit, analyze, share, and display linked data relating to both ancient and contemporary buildings and pathways. This GIS is based on the new plan and gathers together different orders of information: original function, paving, the old paths of each original user (Hadrian, his wife Sabina, the retinue, guests and servants) as well as the ancient system of underground tunnels. It collects all the existing data relating to Villa Adriana relevant to solving the "what/where" question. The fourth step was to create a complete 3D model of Villa Adriana. The 3D reconstruction started from the existing surveys, the documentation of recent excavation and the input of the hypothetical reconstruction of lost or buried buildings.<br><br> Finally we created a multimedia guide, based on a mobile app, which took information from the database to show, in real time, during the tour, where you are and what you can see around you. With this app it's possible to read information about the villa's original layout, or you can access information about the ancient users (their lives and paths). You can also see 3D reconstructions of the buildings around you.


Author(s):  
Wouter Maroy ◽  
Anastasia Dimou ◽  
Dimitris Kontokostas ◽  
Ben De Meester ◽  
Ruben Verborgh ◽  
...  
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