Multimedia management and query processing issues in distributed digital libraries: a HERMES perspective

2002 ◽  
Author(s):  
U. Thiel ◽  
S. Hollfelder ◽  
A. Everts
Keyword(s):  
Query Processing ◽  
Digital Libraries ◽  
Multimedia Management

Loosely-Specified Query Processing in Large-Scale Information Systems

1997 ◽  
Vol 06 (03n04) ◽  
pp. 241-268 ◽  
Author(s):  
Anisoara Nica ◽  
Elke A. Rundensteiner
Keyword(s):  
Query Processing ◽  
Information Integration ◽  
Digital Libraries ◽  
Large Scale ◽  
Information Sources ◽  
Planning Process ◽  
Search Space ◽  
Integration Model ◽  
The Individual ◽  
Query Planning

Challenging issues for processing queries specified over large-scale information spaces (for example, Digital Libraries or the World Wide Web) include the diversity of the information sources in terms of their structures, query interfaces and search capabilities, as well as the dynamics of sources continuously being added, removed or upgraded. In this paper, we give an innovative solution for query planning in such environments. The foundation of our solution is the Dynamic Information Integration Model (DIIM) which supports the specification of not only content but also capabilities of resources without requiring the establishment of a uniform integration schema. Besides the development of the DIIM model, contributions of this paper include: (1) the introduction of the notion of fully specified queries that are semantically equivalent to a loosely-specified query; (2) a translation algorithm of a loosely-specified query into a set of semantically equivalent feasible query plans that are consistent with the binding patterns of query templates of the individual sources (capability descriptions in DIIM) and with interrelationships between information sources (expressed as join constraints in DIIM); and (3) a search restriction algorithm for optimizing query processing by pruning the search space into the relevant subspace of a query. The plans obtained by the proposed query planning process which is composed of the search restriction and translation algorithms can be shown to correspond to query plans semantically equivalent to the initial loosely-specified input query.

LOOSELY-SPECIFIED QUERY PROCESSING IN LARGE-SCALE INFORMATION SYSTEMS

1998 ◽  
Vol 07 (01) ◽  
pp. 77-103 ◽  
Author(s):  
ANISOARA NICA ◽  
ELKE A. RUNDENSTEINER
Keyword(s):  
Query Processing ◽  
Information Integration ◽  
Digital Libraries ◽  
Large Scale ◽  
Planning Process ◽  
Search Space ◽  
Integration Model ◽  
Innovative Solution ◽  
The Individual ◽  
Query Planning

Challenging issues for processing queries specified over large-scale information spaces (e.g., Digital Libraries or the World Wide Web) include the diversity of the information sources in terms of their structures, query interfaces and search capabilities, as well as the dynamics of sources continuously being added, removed or upgraded. In this paper, we give an innovative solution for query planning in such environments. The foundation of our solution is the Dynamic Information Integration Model (DIIM) which supports the specification of not only content but also capabilities of resources without requiring the establishment of a uniform integration schema. Besides the development of the DIIM model, contributions of this paper include: (1) the introduction of the notion of fully specified queries that are semantically equivalent to a loosely-specified query; (2) a translation algorithm of a loosely-specified query into a set of semantically equivalent feasible query plans that are consistent with the binding patterns of query templates of the individual sources (capability descriptions in DIIM) and with interrelationships between informations sources (expressed as join constraints in DIIM); and (3) a search restriction algorithm for optimizing query processing by pruning the search space into the relevant subspace of a query. The plans obtained by the proposed query planning process which is composed of the search restriction and translation algorithms can be shown to correspond to query plans semantically equivalent to the initial loosely-specified input query.

The prospects for IRBIS development: The new product - IRBIS64+

2017 ◽  
pp. 65-74 ◽  
Author(s):  
Alexander Brodovsky ◽  
Konstantin Sboichakov ◽  
Vladimir Sokolovsky
Keyword(s):  
Digital Libraries ◽  
New Product ◽  
Automation System ◽  
Library Automation ◽  
Expanded Access ◽  
Access Right

IRBIS64+ - the new product of IRBIS Library Automation System designed for building and maintaining digital libraries, is introduced. IRBIS64+ new functionality is revealed. New possibilities for users, including those with expanded access right, are described. The IRBIS64+ modules are named.

Digital Libraries

2011 ◽  
Vol 3 (2) ◽  
pp. 161-162
Author(s):  
Amitkumar Lalitbhai Ghoricha ◽  
Keyword(s):  
Digital Libraries

Factors Influencing the Adoption of Electronic Information Resources among Postgraduate Students in Nigerian Universities

Mousaion ◽  
2020 ◽  
Vol 38 (2) ◽  
Author(s):  
Kehinde Abayomi Owolabi ◽  
Basirat.Olubukola Diyaolu ◽  
Nurudeen Adeniyi Aderibigbe ◽  
Mudasiru A Yusuf
Keyword(s):  
Information And Communication Technologies ◽  
Digital Libraries ◽  
Structural Equation ◽  
Information Resources ◽  
Behavioural Intention ◽  
Electronic Information ◽  
Cross Sectional ◽  
Postgraduate Students ◽  
Factors Influencing ◽  
Electronic Information Resources

The advent of information and communication technologies (ICTs) has revolutionised how library resources are made and transmitted to end-users. It has effectively improved the standard of education and research in tertiary institutions worldwide by providing various essential resources, including e-books, journals and databases. However, it has been observed that students still abstain from making the best usage of the digital library, instead using search engines rather than institutional digital libraries. This study investigated the factors influencing the behavioural intention of postgraduate (PG) students to use electronic information resources (EIRs). The Unified Theory of Acceptance of Technology (UTAUT) model was adopted. A cross-sectional research design was used to assess the factors influencing the use of EIRs. A sample of 362 PG students was determined using a Monte Carlo simulation approach. Data were collected from participants via the administration of 400 copies of the questionnaire. Confirmatory Factor Analysis (CFA) and the Covariance-Based Structural Equation Modelling (CB-SEM) were used to analyse data collected. The findings revealed that performance expectancy (PE) and effort expectancy (EE) were the two constructs that influenced PG students’ behavioural intention to use EIRs. In contrast, social influence (SI) and facilitating condition (FC) did not change the PG students’ behavioural plan to use EIRs. The study recommended the need for adequate training for postgraduate (PG) students on the obligation to accept and use EIRs.

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