Semantic Query Answering in Digital Libraries

2012 ◽  
pp. 17-24
Author(s):  
Ilianna Kollia ◽  
Kostas Rapantzikos ◽  
Giorgos Stamou ◽  
Andreas Stafylopatis
Keyword(s):  
Digital Libraries ◽  
Query Answering ◽  
Semantic Query

Semantic query answering in digital repositories: Semantic Search v2 for DSpace

2013 ◽  
Vol 8 (1) ◽  
pp. 46 ◽  
Author(s):  
Dimitrios A. Koutsomitropoulos ◽  
Georgia D. Solomou ◽  
Theodore S. Papatheodorou
Keyword(s):  
Query Answering ◽  
Semantic Search ◽  
Semantic Query ◽  
Digital Repositories

Semantic Query Answering with Time-Series Graphs

2007 ◽  
Author(s):  
Leo Ferres ◽  
Michel Dumontier ◽  
Natalia Villanueva-Rosales
Keyword(s):  
Time Series ◽  
Query Answering ◽  
Semantic Query

scholarly journals Ontology-Based Metasearch Engine in Electronics Area

2020 ◽  
Vol 9 (12) ◽  
pp. 272-277
Keyword(s):  
Search Engine ◽  
Web Sites ◽  
Digital Libraries ◽  
Search Engines ◽  
Information Needs ◽  
Web Search ◽  
User Profile ◽  
Semantic Query ◽  
User Query ◽  
Metasearch Engine

Paper The goal of search engines is to return accurate and complete results. Satisfying concrete user information needs becomes more and more difficult because of inability in it complete explicit specification and short comes of keyword-based searching and indexing. General search engines have indexed millions of web resources and often return thousands of results to the user query (most of them often inadequate). To increase result’s precession, users sometimes choose search engines, specialized in searching concrete domain, personalized or semantic search. A grand variety of specialized search engines may be found (and used) in the internet, but no one may guarantee finding of existing in the web and needed for the concrete user resources. In this paper we present our research on building a meta-search engine that uses domain and user profile ontologies, as well as information (or metadata), directly extracted from web sites to improve search result quality. We state main requirements to the search engine for students, PHD students and scientists, propose a conceptual model and discuss approaches of it practical realization. Our prototype metasearch engine first perform interactive semantic query refinement and then, using refined query, it automatically generate several search queries, sends them to different digital libraries and web search engines, augments and ranks returned results, using ontologically represented domain and user metadata. For testing our model, we develop domain ontologies in the electronic domain. We will use ontological terminology representation to propose recommendations for query disambiguation, and to ensure knowledge for reranking the returned results. We also present some partial initial implementations query disambiguation strategies and testing results.

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

Computing Cores for Existential Rules with the Standard Chase and ASP

2020 ◽  
Author(s):  
Markus Krötzsch
Keyword(s):  
Large Class ◽  
Data Exchange ◽  
Answer Set Programming ◽  
Query Answering ◽  
Universal Model ◽  
The Core ◽  
Universal Models ◽  
General Terms ◽  
Special Cases ◽  
The Many

To reason with existential rules (a.k.a. tuple-generating dependencies), one often computes universal models. Among the many such models of different structure and cardinality, the core is arguably the “best”. Especially for finitely satisfiable theories, where the core is the unique smallest universal model, it has advantages in query answering, non-monotonic reasoning, and data exchange. Unfortunately, computing cores is difficult and not supported by most reasoners. We therefore propose ways of computing cores using practically implemented methods from rule reasoning and answer set programming. Our focus is on cases where the standard chase algorithm produces a core. We characterise this desirable situation in general terms that apply to a large class of cores, derive concrete approaches for decidable special cases, and generalise these approaches to non-monotonic extensions of existential rules.

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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