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Introduction to Information RetrievalLecturer: K. J. van Rijsbergen Description of lesson. Formal Models of Information RetrievalLecturer: D. Hiemstra
A Tutorial to Formal Models of Information Retrieval. Logical Models of Information RetrievalLecturer: Fabio Crestani
The use of different logics in Information Retrieval enables to
formulate models that are more general than the classical IR models.
In fact, logical models of IR not only enable to represent in a more
previse way the document informative content and the user information
need, but they also enable the representaion of some advanced features
of IR systems, such as hypermedia links, multimedia content, and users
knowledge. Logics also provides a common approach to the integration
of IR systems with logical database systems. Finally, logic makes it
possible to reason about an IR model and its properties.
Web RetrievalLecturers: M. Agosti and M. Melucci
PDF slides of M. Agosti
The talk is going to address different aspects of the retrieval of information
from Web pages and documents. The Web is formed by static pages and dynamic
ones, which give access to many different types of databases and digital
libraries. When the retrieval of information is performed on static pages,
many are the relationships with traditional information retrieval. When the
retrieval of information is obtained using tools which access engines
which extract information from databases and digital libraries
different types of selection of information is conducted. The talk
addresses both types of situations.
Users: the Central Context in Interactive Information RetrievalLecture: P. Ingwersen Users as actors in interactive information retrieval (IIR) are seen in the contexts of their perceived work tasks and information seeking behaviour, and as contexts to the IR system. The paper models IIR processes by demonstrating a variety of approaches, ranging from Ingwersen´s cognitive communication model for IR interaction, over Saraceveic´ stratified model which includes a typology of relevance conceptions, to Borlund´s model of work task perception, information need development and relevance assessments. Other associated models and perspectives of IIR are discussed when appropriate to the major focus points of the contribution: work/search task - interest conceptions; information need development and typology; understanding of relevance in IIR; and experimental problems in IIR. Information Retrieval and Structured DocumentsLecturer: Y. Chiaramella Description of lesson. Evaluation in Information Retrieval (including TREC)Lecturer: S. Robertson
The field now known as "information retrieval" long predates computer-based systems,
and there has been a tradition of evaluating information retrieval systems for over
40 years (again predating computer-based system). In part, this tradition is embedded
in an empirical, laboratory-based paradigm, in which evaluation is a process of
measurement, requiring the definition of quantitative measures of performance.
This tradition is now best represented by the TREC programme. The primary basis
for quantitative measurement is normally a set of judgements of the "relevance"
of documents to information needs. This in itself is of course a qualitative
judgement; the quantitativeness arises from counting documents, in categories
defined by relevance and other properties.
Multilingual Information RetrievalLecturer: J.-Y. Nie Description of lesson. Perception, Signal, ImagesLecturers: A. Guérin-Dugué and C. Berrut Description of lesson. User Needs in VideoLecturer: B. Bachimont Audiovisual documents are more and more in a digital format, be they digital born or obtained from a digitisation process. This simple fact has two main consequences : audiovisual documents are used on the same medium as the metadata that describe them ; they also can be used in the context of other digital documents that have different semiotic formats (texts, sounds, graphics, etc.). The lesson will concentrate on the implications of this revolution from the application point of view on one hand and the needed technologies on the other. We will show how metadata and indexing technics are very promising in the digital era while being still hard to use in real life applications. Models, Tools for VideosLecturer: G. Quénot Description of lesson. Video Searching and BrowsingLecturer: A. Smeaton As computers have become more and more powerful, and as available storage has become cheaper and the volumes increased, and as computer networks have become faster and faster, we have seen the growth of more and more information in digital format. In recent years, this growth has included the growth in the use of digital formats for capturing, storing, and transmitting video information. Digital format for video information can now be captured easily and transmitted and rendered on desktop and handheld mobile devices. In this lecture we address the current state of the field in the area of content-based operations to operate on digital video information. As background information, and to give some context for the difficulties associated with content access to video, we include some materials on video compression algorithms and approaches and we then provide details on feature extraction, indexing, searching, browsing, summarisation and automatic linking in digital video information. Our examples will be taken from the TREC track on video IR (known as TRECVID) and from our own work on the Físchlár system. This site is optimized for MS Internet Explorer 5.5 and higher, Netscape 6.0 and higher, Opera 6.0 and higher. It uses cascading style sheets, javascripts and java applets. Date of last modification: 02/02/2004 email webmaster |