3D Digital Libraries and Their Contribution in the Documentation of the Past

2017 ◽  
pp. 161-199 ◽  
Author(s):  
Marinos Ioannides ◽  
Rob Davies ◽  
Pavlos Chatzigrigoriou ◽  
Eirini Papageorgiou ◽  
Georgios Leventis ◽  
...  
Keyword(s):  
Digital Libraries ◽  
The Past

A review of quality evaluation of digital libraries based on users’ perceptions

2012 ◽  
Vol 38 (3) ◽  
pp. 269-283 ◽  
Author(s):  
Rubén Heradio ◽  
David Fernández-Amorós ◽  
Francisco Javier Cabrerizo ◽  
Enrique Herrera-Viedma
Keyword(s):  
Information System ◽  
Literature Review ◽  
Digital Libraries ◽  
Quality Evaluation ◽  
Measuring Instruments ◽  
The Past ◽  
User Communities ◽  
The Future ◽  
Shed Light

In the past two decades, the use of digital libraries (DLs) has grown significantly. Accordingly, questions about the utility, usability and cost of DLs have started to arise, and greater attention is being paid to the quality evaluation of this type of information system. Since DLs are destined to serve user communities, one of the main aspects to be considered in DL evaluation is the user’s opinion. The literature on this topic has produced a set of varied criteria to judge DLs from the user’s perspective, measuring instruments to elicit users’ opinions, and approaches to analyse the elicited data to conclude an evaluation. This paper provides a literature review of the quality evaluation of DLs based on users’ perceptions. Its main contribution is to bring together previously disparate streams of work to help shed light on this thriving area. In addition, the various studies are discussed, and some challenges to be faced in the future are proposed.

The Application of Data-Mining to Recommender Systems

2011 ◽  
pp. 45-50 ◽  
Author(s):  
J. Ben Schafer
Keyword(s):  
Data Mining ◽  
Knowledge Management ◽  
Electronic Commerce ◽  
Recommender Systems ◽  
Digital Libraries ◽  
Buying Behavior ◽  
Data Mining Techniques ◽  
The Past ◽  
A Site ◽  
Product Description

In a world where the number of choices can be overwhelming, recommender systems help users find and evaluate items of interest. They connect users with items to “consume” (purchase, view, listen to, etc.) by associating the content of recommended items or the opinions of other individuals with the consuming user’s actions or opinions. Such systems have become powerful tools in domains from electronic commerce to digital libraries and knowledge management. For example, a consumer of just about any major online retailer who expresses an interest in an item – either through viewing a product description or by placing the item in his “shopping cart” – will likely receive recommendations for additional products. These products can be recommended based on the top overall sellers on a site, on the demographics of the consumer, or on an analysis of the past buying behavior of the consumer as a prediction for future buying behavior. This paper will address the technology used to generate recommendations, focusing on the application of data mining techniques.

scholarly journals Towards an Agenda for Open Language Archiving

2021 ◽  
Author(s):  
Steven Bird ◽  
Gary Simons
Keyword(s):  
Digital Libraries ◽  
Language Resources ◽  
The Past ◽  
Sustainable Future

The Open Language Archives Community (OLAC) provides a comprehensive infrastructure that has allowed our community to index and discover language resources over the past 20 years. However, OLAC infrastructure has fallen behind as the digital libraries community has continued to evolve. New investment is required in order to move OLAC into the digital libraries mainstream. This paper reports on the first 20 years of OLAC and on an agenda leading to a more sustainable future for open language archiving.

Application of Data Mining to Recommender Systems

2011 ◽  
pp. 44-48 ◽  
Author(s):  
J. Ben Schafer
Keyword(s):  
Data Mining ◽  
Knowledge Management ◽  
Electronic Commerce ◽  
Recommender Systems ◽  
Digital Libraries ◽  
Buying Behavior ◽  
Data Mining Techniques ◽  
The Past ◽  
A Site ◽  
Product Description

In a world where the number of choices can be overwhelming, recommender systems help users find and evaluate items of interest. They connect users with items to “consume” (purchase, view, listen to, etc.) by associating the content of recommended items or the opinions of other individuals with the consuming user’s actions or opinions. Such systems have become powerful tools in domains from electronic commerce to digital libraries and knowledge management. For example, a consumer of just about any major online retailer who expresses an interest in an item – either through viewing a product description or by placing the item in his “shopping cart” – will likely receive recommendations for additional products. These products can be recommended based on the top overall sellers on a site, on the demographics of the consumer, or on an analysis of the past buying behavior of the consumer as a prediction for future buying behavior. This paper will address the technology used to generate recommendations, focusing on the application of data mining techniques.

Digital Libraries for Singing

2016 ◽  
pp. 392-410
Author(s):  
Annabel J. Cohen ◽  
Karen M. Ludke
Keyword(s):  
Digital Libraries ◽  
Interdisciplinary Research ◽  
New Technologies ◽  
Well Being ◽  
Development Education ◽  
The Past ◽  
The World ◽  
Digital Formats ◽  
Technology Resources ◽  
Advance Knowledge

There is a sizeable and growing body of research on singing. Contributing to the potential for ever-expanding knowledge in this field is the ability to collect singing data in digital formats as compared to formats derived from the analogue devices of the past. New technologies have also led to the possibility of collecting recordings from the different locations where researchers work or travel and sharing data across the world, free from geographic restrictions. Analysis of raw singing data could thereafter be conducted by other researchers, who could then disseminate their findings to others. This chapter outlines some of the information technology resources that have been developed to collect and share singing and musical data, focusing on the development of a digital library as part of the Advancing Interdisciplinary Research on Singing (AIRS) project which aims to advance knowledge about singing with a focus on human development, education, and well-being.

Survey and History of Digital Library Development in the Asia Pacific

2005 ◽  
pp. 1-21 ◽  
Author(s):  
Hsinchun Chen ◽  
Yilu Zhou
Keyword(s):  
Digital Library ◽  
Digital Libraries ◽  
Meta Analysis ◽  
Asia Pacific ◽  
The Past ◽  
Library Research ◽  
Level Of Activity ◽  
History Of ◽  
Library Development ◽  
Cross Lingual

Over the past decade the development of digital library activities within Asia Pacific has been steadily increasing. Through a meta-analysis of the publications and content within ICADL and other major regional digital library conferences over the past few years, we see an increase in the level of activity in Asian digital library research. This reflects high continuous interest among digital library researchers and practitioners internationally. Digital library research in the Asia Pacific is uniquely positioned to help develop digital libraries of significant cultural heritage and indigenous knowledge and advance cross-cultural and cross-lingual digital library research.

scholarly journals SKO Types: an entity-based scientific knowledge objects metadata schema

2015 ◽  
Vol 19 (1) ◽  
pp. 60-70 ◽  
Author(s):  
Hao Xu ◽  
Fausto Giunchiglia
Keyword(s):  
Knowledge Management ◽  
Scientific Knowledge ◽  
Digital Libraries ◽  
Scientific Publications ◽  
Content Type ◽  
Strategic Reading ◽  
The Past ◽  
Metadata Schema ◽  
Knowledge Objects ◽  
Knowledge Object

Purpose – This paper aims to propose an entity-based scientific metadata schema, i.e. Scientific Knowledge Object (SKO) Types. During the past 50 years, many metadata schemas have been developed in a variety of disciplines. However, current scientific metadata schemas focus on describing data, but not entities. They are descriptive, but few of them are structural and administrative. Design/methodology/approach – To describe entities in scientific knowledge, the theory of SKO Types is proposed. SKO Types is an entity-based theory for representing and linking SKOs. It defines entities, relationships between entities and attributes of each entity in the scientific domain. Findings – In scientific knowledge management, SKO Types serves as the basis for relating entities, entity components, aggregated entities, relationships and attributes to various tasks, e.g. linked entity, rhetorical structuring, strategic reading, semantic annotating, etc., that users may perform when consulting ubiquitous SKOs. Originality/value – SKO Types can be widely applied in various digital libraries and scientific knowledge management systems, while for the existing legacy of scientific publications and their associated metadata schemas.

scholarly journals Context-Aware Music Recommender Systems for Groups: A Comparative Study

Information ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 506
Author(s):  
Adrián Valera ◽  
Álvaro Lozano Murciego ◽  
María N. Moreno-García
Keyword(s):  
Comparative Study ◽  
Recommender Systems ◽  
Digital Libraries ◽  
Context Aware ◽  
The Past ◽  
Single User ◽  
Streaming Services ◽  
Music Recommender Systems ◽  
Music Streaming ◽  
Group Recommender

Nowadays, recommender systems are present in multiple application domains, such as e-commerce, digital libraries, music streaming services, etc. In the music domain, these systems are especially useful, since users often like to listen to new songs and discover new bands. At the same time, group music consumption has proliferated in this domain, not just physically, as in the past, but virtually in rooms or messaging groups created for specific purposes, such as studying, training, or meeting friends. Single-user recommender systems are no longer valid in this situation, and group recommender systems are needed to recommend music to groups of users, taking into account their individual preferences and the context of the group (when listening to music). In this paper, a group recommender system in the music domain is proposed, and an extensive comparative study is conducted, involving different collaborative filtering algorithms and aggregation methods.

scholarly journals Stateful Library Analysis and Migration System (SLAM)

2021 ◽  
Vol 40 (4) ◽  
Author(s):  
Adrian-Tudor Panescu ◽  
Teodora-Elena Grosu ◽  
Vasile Manta
Keyword(s):  
Digital Libraries ◽  
Research Management ◽  
Management Systems ◽  
Central Theme ◽  
Migration System ◽  
The Past ◽  
Digital Commons ◽  
Practical Experiences ◽  
And Migration

Interoperability between research management systems, especially digital libraries or repositories, has been a central theme in the community for the past years, with the discussion focused on means of enriching, linking, and disseminating outputs. This paper considers a frequently overlooked aspect, namely the migration of records across systems, by introducing the Stateful Library Analysis and Migration system (SLAM) and presenting practical experiences with migrating records from DSpace and Digital Commons repositories to Figshare.

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