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Volume 02 (2011)

Volume 02     2011

 

 

Proceedings of the International Conference on Integrated Information (IC-ININFO 2011)

Edited by Georgios A. Giannakopoulos and Damianos P. Sakas

 

Christos Skourlas

Scope: The Session aims at providing researchers and professionals with an insight on Information and Knowledge Management in IT applications. Paper contributions from the industry, government, business, academia and research are expected to:

- Consider information and knowledge management, Data mining and Content Based Information Retrieval to comprise increasingly important aspects in the provision of electronic services. - Integrate information and knowledge management with multimedia enhanced activities, and/or the business process workflow control in IT projects. - Enhance information retrieval and workflow control with organizational memory techniques, in order to facilitate project management activities by proactively providing context-specific information to the user. 

Eleni Galiotou

Abstract: We present a case study on the use of digitization for the preservation and availability of the books and manuscripts in a historical library. At first, we give a brief description of the collection. Then, we describe the process of digitization and our approach to the availability and awareness of the digitized documents. 

Stefanos Ougiaroglou, Georgios Evangelidis and Dimitris A. Dervos

Abstract: The k-Nearest Neighbor (k-NN) classification algorithm is one of the most widely-used lazy classifiers because of its simplicity and ease of implementation. It is considered to be an effective classifier and has many applications. However, its major drawback is that when sequential search is used to find the neighbors, it involves high computational cost. Speeding-up k-NN search is still an active research field. Hwang and Cho have recently proposed an adaptive cluster-based method for fast Nearest Neighbor searching. The effectiveness of this method is based on the adjustment of three parameters. However, the authors evaluated their method by setting specific parameter values and using only one dataset. In this pa- per, an extensive experimental study of this method is presented. The results, which are based on five real life datasets, illustrate that if the parameters of the method are carefully defined, one can achieve even better classification performance. 

Nikitas N. Karanikolas and Christos Skourlas

Abstract: Users Interaction with various well- established tools of documentation retrieval and the influence from each tool to the other ones have contributed in the creation of some search culture which is shared between the design assumptions (existing behind) of search interfaces and the user skills. The purpose of this work is to exploit the hidden design assumptions of the user interfaces in order to define search scenarios that combine concrete features for specific retrieval. One such interesting application case is the definition of scenarios for finding the citations that a researcher has got, excluding self citations 

Anastasios Tsolakidis, Manolis Chalaris and Ioannis Chalaris

Abstract: The new operating model of a University must be reflected in an appropriate organizational structure including all the relevant roles and responsibilities of the administration hierarchy. It should be enforced by the creation and operation of an integrated Information System, and the continuous development of a system for managing the generated knowledge in all the related levels. 

Catherine Marinagi and Christos Skourlas

Abstract: In this paper we focus on the design and implementation of adaptive learning environments in Higher Education, accessible by students with disabilities and learning difficulties. Assistive technology, and especially mobile learning, is used for the establishment of the communication between learner and teacher, mainly, in the mainstream class. We discuss the establishment and operation of parallel “assistive” classes for specific topics and specific groups of students and needs. The architecture of Secure Wireless Infrastructures and Personalized Educational Learning Environments (SWI_PELE) is also presented and the collaboration of such environments is discussed. This architecture includes a scheme of servers and incorporates wireless infrastructure, and personalized, multimedia based educational course material. Mobile devices and PDA’s are integrated in educational scenarios to support various activities, such as giving lectures in the mainstream class, attending classes, working in the laboratory and participating in assessments and exams. 

Evangelos Outsios and Georgios Evangelidis

Abstract: In this paper, we focus on the leaf level nodes of tree-like k-dimensional indexes that store the data entries, since those nodes represent the majority of the nodes in the index. We propose a generic node splitting approach that defers splitting when possible and instead favors merging of a full node with an appropriate sibling and then re-splitting of the resulting node. Our experiments with the hB-tree, show that the proposed splitting approach achieves high average node storage utilization regardless of data distribution, data insertion patterns and dimensionality.

Pavlina Fragkou


Abstract: In this paper we examine the benefit of performing named entity recognition and co-reference resolution to a Greek corpus used for text segmentation. Segments consist of portions among one of the 300 documents published by ten different authors in the Greek newspaper "To Vima". The aim here is to examine whether the combination of text segmentation and information extraction (and most specifically the named entity recognition and co-reference resolution steps) can prove to be beneficial for the identification of the various topics that appear in a document. Named entity recognition was performed using an already existing tool which was trained on a similar corpus. The produced annotations were manually corrected and enriched in order to cover four types of named entities (i.e. person name, organization, location and time). Co- reference resolution and most specifically substitution of every reference of the same instance with the same named entity identifier was performed in a subsequent step. The evaluation using three well known text segmentation algorithms leads to the conclusion that, the benefit highly depends on the segment's topic, the number of named entity instances appearing in it, as well as the segment's length. 

Euclid Keramopoulos, Achilleas Pliakas, Konstantinos Tsekos and Ignatios Deligiannis

Abstract: EXtensible Markup Language (XML) tends to become a standard way of data interchanging on the Web. XQuery is the W3C standard to retrieve information from XML documents. Moreover, graphical user interfaces are user friendly enough for naive users to use them. Thus, a graphical query language for XML documents is a very interesting research field. In this paper we introduce KINISIS a new graphical query language which is designed and implemented upon XQuery which uses metaphors extracted from the road traffic act. Moreover, we present the results of the controlled experiment that we developed in order to evaluate KINISIS usability against XQuery. 

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