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3 edition of Interfaces based on associative semantics for browsing in information retrieval found in the catalog.

Interfaces based on associative semantics for browsing in information retrieval

Annelise Mark Pejtersen

Interfaces based on associative semantics for browsing in information retrieval

by Annelise Mark Pejtersen

  • 174 Want to read
  • 39 Currently reading

Published by Risø National Laboratory in Roskilde, Denmark .
Written in English

    Subjects:
  • Thesauri,
  • Association of ideas

  • Edition Notes

    StatementAnnelise Mark Pejtersen.
    SeriesRisø-M -- 2883
    ContributionsForsøgsanlæg Risø.
    The Physical Object
    Paginationvii, 143 p. :
    Number of Pages143
    ID Numbers
    Open LibraryOL15154989M
    ISBN 108755016634

    "A Library System for Information Retrieval based on a Cognitive Task Analysis and Supported by an Icon-based interface," Proceedings of the Twelfth Annual Interna-tional ACM/SIGIR Conference on Research and Development in Information Retrieval, edited by N.J. Belkin & C.J. Rijsbergen, SIGIR Forum 23 (1):   Semantics in Retrieval 1. Semantics in Retrieval by Gan Keng Hoon on 19th October for School of Computer Sciences Staff Seminar 2. Talk Theme What do we do. Anything concerning Semantics in Retrieval Why are we doing it. Making information access more Natural and Relevant. 3.

    An AI-based retrieval system inspired by the WEBSOM-algorithm is proposed. Contrary to the WEBSOM however, we introduce a system using only the index of every document. The knowledge extraction process results into a so-called Associative Conceptual Space where the words as found in the documents are organised using a Hebbian-type of (un. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification, and information retrieval, which are connected by the common underlying theme of the use.

    Prof. Dr. Knut Hinkelmann Information Retrieval and Knowledge Organisation - 1 Introduction 6 Retrieval Browsing Database Basic Concepts: Retrieval vs. Browsing Retrieval Information need can be specified A query can be formulated which contrains the information that might be of interest Browsing Main objective not clearly defined or very broad. TSC browsers dynamically filter video based on a single user gesture to leave out more or less of the boring bits. We demonstrate a browser with an example interest measure, derived from an automated estimate of movie tempo, to forage in terms of narrative structures such as crises, climaxes, and action sequence book-ends.


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Interfaces based on associative semantics for browsing in information retrieval by Annelise Mark Pejtersen Download PDF EPUB FB2

A retrieval aid for browsing strategies in bibliografic databases based on users' associative Semantics: A term association Thesaurus. Information retrieval with an icon-based interface.

In: Gorny P., Tauber M.J. (eds) Visualization in Human-Computer Interaction. IPsy Lecture Notes in Computer Science, vol Cited by: 4.

Interfaces based on associative semantics for browsing in information retrieval By Annelise Mark Pejtersen Topics: Sikkerhed og pålidelighed af tekniske systemer, Risø-MAuthor: Annelise Mark Pejtersen.

Interfaces based on Associative Semantics for Browsing (). Learning in Information Society, report from the NORDINFO conference on the design and use of information-retrieval systems in primary schools and libraries. Visual Interfaces for Semantic Information Retrieval and Browsing Figure ‘ ‘cks in the Snow’ ’ image and textual description.

Black plate (,1)Author: Katy Borner. Associative Conceptual Space-based Information Retrieval Systems Martijn Schuemie Dept.

Information systems, room The semantics of individual words can also be applied using a so-called ‘thesaurus’, a vocabulary where synonymous and the Aqua-browser [5], the last one of which is an IR-system based on.

ferent similarity theories. Based on a review of existing similarity measures, we introduce a framework to specify the semantics of similarity.

We discuss similarity-based information retrieval paradigms as well as their implementation in web-based user interfaces for geo-graphic information retrieval to demonstrate the applicability of the. This paper provides an approach to construct an information retrieval system combining search and browsing.

The proposed retrieval mechanism is based on semantics of objects. Objects are e.g. documents, pictures, music files, software modules, system components, failure descriptions in a maintenance system, etc. The approach is based on description logics [1]: objects are represented as.

Design of semantic information retrieval for digital libraries raises several issues that call for cross-disciplinary co-operation with such human science disciplines as psychology, sociology, and.

similarity in semantics-based information retrieval and show its integration into user interfaces. We conclude by pointing to open research questions. 2 Related Work This section introduces geographic information retrieval and similarity measurement and points to related work.

Geographic Information Retrieval. Chen, H., Houston, A., Sewell, R., and Schatz, B. Internet browsing and searching: User evaluations of category map and concept space techniques. Journal of the American Society for Information Science, Special Issue on “AI Techniques for Emerging Information Systems Applications”, 49(7), – Google Scholar.

The amount of digitized information available on the Internet, in digital libraries, and other forms of information systems grows at an exponential rate, while becoming more complex and more dynamic.

As a consequence, information organization, information retrieval and the presentation of retrieval results have become more and more difficult.5/5(1). Faisal Bashir, Dan Schonfeld, in The Electrical Engineering Handbook, Intelligence-Based Systems. The next step toward future CBVIR systems will be marked by the introduction of intelligence into the systems as they need to be capable of communicating with the user, understanding audio–visual content at a higher semantic level, and reasoning and planning at a human level.

In this paper, we propose a semantic file system, SIL (Semantics Instead of Location), which allows engineers to access data based on semantic information rather than storage location information thereby facilitating enhanced search and retrieval capabilities as needed for integrated, cross-disciplinary computer-aided product development processes.

SEMANTICS-BASED USER INTERFACES While there are specifications on how to display RDF triples to the user [4,20] and various semantic Web browsers such as PowerMagpie4, there is little work on how to integrate the reasoning capabilities of the semantic Web within end user interfaces for information retrieval.

Schraefel and Karger. Visual Interfaces for Semantic Information Retrieval and Browsing Katy Bo¨rner Introduction Today, an unimaginable amount of human knowledge is available in digital libraries, repositories, on the Internet, etc. Computers have become the entry point to a worldwide network of information, services, and other people.

How. Interface Support for the Search Process The user interface designer must make decisions about how to arrange various kinds of information on the computer screen and how to structure the possible sequences of interactions. This design problem is especially daunting for a complex activity like information access.

An Overview of Semantic-Based Visual Information Retrieval: /ch Content-based image retrieval (CBIR) could be described as a process framework for efficiently retrieving images from a collection by similarity.

The. The probabilistic retrieval model is based on the Probability Ranking Principle, which states that an information retrieval system is supposed to rank the documents based on their probability of relevance to the query, given all the evidence available [Belkin and Croft ].

The principle takes into account that there is uncertainty in the. This paper presents a semantic associative browsing system called Semantic Association Various Viewpoint sYstem (SAVVY). Recently, the number of users who employ search engines for not only retrieving Web pages but also understanding or learning an arbitrary concept has been increasing.

It is difficult to understand and learn an arbitrary concept by using most of the current search engines. Modern Information Retrieval Chapter 1 Introduction Information Retrieval The IR Problem The IR System convey the semantics of the information need We say that the user is searching or querying for information of searching and browsing Introduction, Modern Information Retrieval, Addison Wesley, – p.

This book introduces a novel approach for context-aware semantics-based information retrieval that covers two aspects. First, a novel measure for the impact of a contextual aspect on the query results is introduced. This measure allows for the identification of relevant contextual information during work flow and user interface : C.

Kessler.Deals with data that has a well defined structure and semantics A single erroneous object among a thousand retrieved objects means total failure Data retrieval does not solve the problem of retrieving information about a subject or topic Chap Introduction, Baeza-Yates & Ribeiro-Neto, ModernInformation Retrieval, 2nd Edition – p.

Database Semantics: Semantic Issues in Multimedia Systems reflects the state of the art of emerging research on the meaning of multimedia information, as presented during IFIP's Eighth Data Semantics Working Conference (DS-8), organized by its Working Group on Databases, and held at Rotorua, New Zealand, in January DS-8 was planned as an active forum for researchers and .