Design of an Integrated Digital Library System Based on Peer-to-Peer Data Mining

2012 ◽  
Vol 2 (3) ◽  
pp. 1-14
Author(s):  
Mohammed Ammari ◽  
Dalila Chiadmi

Traditional libraries will evolve to digital libraries which are clearly superior at: Dissemination, sharing, linking, storing, and information variety. Therefore, one can say that electronic libraries have specific needs in terms of content, services and long-term preservation. In contrast, digital libraries suffer from several inherent constraints: storage limitation, performance, relevancy, decentralization, lack of semantic, fault tolerance, scalability. The main intention of this paper is to present a design of an integrated digital library system based on peer-to-peer data mining. This article aims also to prove that peer-to-peer mining, an emerging branch of distributed data mining, is a hot research area well suited to overcome intrinsic problems of digital libraries.

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Peter X. Zhou

AbstractThe digital lifecycle encompasses definitive processes for data curation and management, long-term preservation, and dissemination, all of which are key building blocks in the development of a digital library. Maintaining a complete digital lifecycle workflow is vital to the preservation of digital cultural heritage and digital scholarship. This paper considers digital lifecycle programs for digital libraries, noting similarities between the digital and print lifecycles and referring to the example of the Digital Dunhuang project. Only through a systematic and sustainable digital lifecycle program can platforms for cross-disciplinary research and repositories for large aggregations of digital content be built. Moreover, advancing digital lifecycle development will ensure that knowledge and scholarship created in the digital age will have the same chances for survival that print-and-paper scholarship has had for centuries. It will also ensure that digital library users will have effective access to aggregated content across different domains and platforms.


2019 ◽  
Vol 9 (2) ◽  
pp. 1-4
Author(s):  
Sukumar Mandal

Digital library is a collection of electronic objects. Information retrieval is a part of digital library system. Digital library can be developed through open source software and tools. Institutional digital repository is also an important field in present and next generation automated and digital library system. Now, this paper is present how to import metadata formats from different database by EPrints for the development of institutional digital repository. There are different types of metadata formats available in open source environment but this paper is shows some high and matured level software for development and designing this integrated framework. However, in this section has a show how to data import from Koha, Emerald, D-Space, and Vu-Find for the better management of digital information services among the users as well as library professionals.


1999 ◽  
Vol 42 (6) ◽  
pp. 471-479 ◽  
Author(s):  
Hiroshi HIRAOKA ◽  
Takayuki MANAKA ◽  
Toshiaki YOKOYAMA ◽  
Tetsuo SAKAGUCHI ◽  
Shigeo SUGIMOTO ◽  
...  

Computers ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 49 ◽  
Author(s):  
Angela Di Iorio ◽  
Marco Schaerf

Library organizations have enthusiastically undertaken semantic web initiatives and in particular the data publishing as linked data. Nevertheless, different surveys report the experimental nature of initiatives and the consumer difficulty in re-using data. These barriers are a hindrance for using linked datasets, as an infrastructure that enhances the library and related information services. This paper presents an approach for encoding, as a Linked Vocabulary, the “tacit” knowledge of the information system that manages the data source. The objective is the improvement of the interpretation process of the linked data meaning of published datasets. We analyzed a digital library system, as a case study, for prototyping the “semantic data management” method, where data and its knowledge are natively managed, taking into account the linked data pillars. The ultimate objective of the semantic data management is to curate the correct consumers’ interpretation of data, and to facilitate the proper re-use. The prototype defines the ontological entities representing the knowledge, of the digital library system, that is not stored in the data source, nor in the existing ontologies related to the system’s semantics. Thus we present the local ontology and its matching with existing ontologies, Preservation Metadata Implementation Strategies (PREMIS) and Metadata Objects Description Schema (MODS), and we discuss linked data triples prototyped from the legacy relational database, by using the local ontology. We show how the semantic data management, can deal with the inconsistency of system data, and we conclude that a specific change in the system developer mindset, it is necessary for extracting and “codifying” the tacit knowledge, which is necessary to improve the data interpretation process.


1997 ◽  
Vol 3 (1) ◽  
pp. 289
Author(s):  
H J Kim ◽  
S R Kim ◽  
D S Yoo ◽  
S H Lee ◽  
O K Suh ◽  
...  

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