Repository Management in an Intelligent Indexing Approach for Multimedia Digital Libraries

Armani, B.; Bertino, Elisa; Catania, Barbara; Laradi, D.; Marín, Beatriz Eugenia; Zarri, Gian Piero

doi:10.1007/3-540-39963-1_8

Cited by 4 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Search engine rankings have been adopted in most advanced intelligent libraries (Alexandrov et al 2003;Gutwin et al 1999;Hsinchun et al 1998;Kaklauskas et al 2006c;Ruch et al 2007;Trnkoczy et al 2006;Wang 2003) and tutoring systems (Armani et al 2010;Brusilovsky 2000;Day et al 2005;Lucence 2010;Pouliquen et al 2005). As part of the on-going Illinois Digital Library Initiative project, research proposes an intelligent personal spider (agent) approach to Internet searching, which is grounded on automatic textual analysis, general-purpose searches and genetic algorithms (Hsinchun et al 1998).…”

Section: Intelligent Librarymentioning

confidence: 99%

“…Finally, the ITA provides reading recommendations for students via a chapter similarity function. However, intelligent libraries (Alexandrov et al 2003;Gutwin et al 1999;Hsinchun et al 1998;Kaklauskas et al 2006c;Ruch et al 2007;Trnkoczy et al 2006;Wang 2003) and intelligent tutoring systems (Armani et al 2010;Brusilovsky and Peylo 2000;Day et al 2005;Lucence 2010;Pouliquen et al 2005) with search engine rankings cannot select chapters (sections, paragraphs) of specific texts, which are the most relevant to a student, cannot integrate the chapters (sections, paragraphs) of specific texts into learner specific alternatives of teaching material and cannot select the most rational alternative, i.e. cannot develop alternatives of training materials, perform multiple criteria analysis and automatically select the most effective variant.…”

Section: Intelligent Librarymentioning

confidence: 99%

See 1 more Smart Citation

Development of the intelligent tutoring system for built environment

Seniut¹

2012

View full text Add to dashboard Cite

The dissertation examines the problem of students' training and testing. To solve the problem, new model, algorithms and system have been developed and adapted. The developed system enables organizing of individual and group training and self-control process. Integrated intelligent search subsystem helps to develop the study plan for the themes of interest. The system continuously monitors the user and can respond to his failure. The developed built environment computer learning subsystem performs practical calculations to assess the built environment projects. The main problem solved by development of the subsystem is reduction of time needed for users to create their own systems. Knowledge database created during the system development can be a good source of knowledge for new or similar projects evaluations. Calculation results can be saved for further research or shared with other users of the system. The dissertation consists of Introduction, 4 Chapters, Conclusions, References, and List of Author's Publications. The introduction reveals the investigated problem, importance of the thesis and the object of research and describes the purpose and tasks of the dissertation, research methodology, scientific novelty, the practical significance of results examined in the dissertation and defended statements. The introduction ends in presenting the author's publications on the subject of the defended dissertation, offering the material of made presentations in conferences and defining the structure of the dissertation. Chapter 1 revises scientific literature. The world experience in development of intelligent tutoring systems is analyzed. Also definitions of intelligent tutoring systems and the built environment are provided. Chapter 2 overviews the multi objective assessment methods and discusses their integration into the overall system. Chapter 3 presents the model of intelligent tutoring system for built environment. All parts off developed system are reviewed including methods, submodels, algorithms and databases. Chapter 4 presents three real life case studies that show practical application results of the created system. 12 articles focusing on the subject of the discussed dissertation are published: 7 articles-in the Thomson ISI Web of Science register and 5 articlesin the proceedings in Thomson ISI data base. Patent "Electronic information retrieval system and method" on behalf of VGTU was acquired.

show abstract

Section: Intelligent Librarymentioning

confidence: 99%

Section: Intelligent Librarymentioning

confidence: 99%

Development of the intelligent tutoring system for built environment

Seniut¹

2012

View full text Add to dashboard Cite

show abstract

“…Search engine rankings have been adopted in the most advanced intelligent libraries (Alexandrov et al 2003;Chen, 2008Chen, , 2010García-Crespo et al 2010;Garibay et al 2010;Gutwin et al 1999;Hsinchun et al 1998;Hwang et al 2010;Kaklauskas et al 2006aKaklauskas et al , 2006bOard et al 2008;Ruch et al 2007;Trnkoczy et al 2006;Vega-Gorgojo et al 2010; and tutoring systems (Ammar et al 2010;Armani et al 2000;Brusilovsky, 2000;Chen, 2009;Chen, 2011;Day et al 2007;Gasparetti et al 2009;Gunel & Asliyan, 2010;He et al 2009;Hsu et al 2010;Lucence, 2005;Phobun & Vicheanpanya, 2010;Pouliquen et al 2005;Roll et al 2011;Sarrafzadeh et al 2008) recently. As part of the Illinois Digital Library Initiative project, the research proposes an intelligent personal spider (agent) approach to Internet searching, which is grounded on automatic textual analysis, generalpurpose search and genetic algorithms (Hsinchun et al 1998).…”

Section: Digital Libraries and Search Engine Rankingsmentioning

confidence: 99%

The Use of the Intelligent Library and Tutoring System at All Stages of a Building Life Cycle

Zavadskas

Kaklauskas

Banaitis

2011

View full text Add to dashboard Cite

Intelligent Library and Tutoring System for Brita in PuBs Project (ILTS-BPP) developed by the authors have the ability to personalize, maximum-reuse, index, analyze and integrate valuable information and knowledge from a wide selection of existing sources in all building life cycle stages. A number of tightly integrated search components (text search, audio search and video search) can be used. Such search possibilities ensure that stakeholders from construction and real estate industry can take advantage of quickly retrieving the most relevant information from the available content that has already been developed and approved for different manuals, handbooks, directives, research, normative documents, databases of best practice and other sources. We suppose that the intelligent libraries and tutoring systems will become a practical knowledge storehouse and will offer intelligent opportunities for learners in construction and real estate industry. The library of e-learning modules is individualized, can operate in distributed universities and institutions and can provide learners withdifferent forms of content.

show abstract

A Knowledge Engineering Approach to Deal with ‘Narrative’ Multimedia Documents

Zarri

2001

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Repository Management in an Intelligent Indexing Approach for Multimedia Digital Libraries

Cited by 4 publications

References 4 publications

Development of the intelligent tutoring system for built environment

Development of the intelligent tutoring system for built environment

The Use of the Intelligent Library and Tutoring System at All Stages of a Building Life Cycle

A Knowledge Engineering Approach to Deal with ‘Narrative’ Multimedia Documents

Contact Info

Product

Resources

About