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HyperReal: a hypermedia model for mixed reality

Published: 26 August 2003 Publication History

Abstract

This paper describes a generic hypermedia model that is used as a framework for building context aware and mixed reality applications. It can handle different media elements, and it defines a presentation scheme that abstracts several relevant navigation concepts, including link awareness. The model specifies a base structure for the relation between spaces, either real or virtual, and supports contextual mechanisms. Additionally, it establishes a way to correlate real/virtual world objects with information present in the hypermedia graph. It also includes store/replay mechanisms that can be used to repurpose the content in new ways, including storytelling applications. The proposed model is being tested in a gaming and storytelling environment that integrates the real world, media elements and virtual 3D worlds. The paper presents the overall framework, the current implementation and evaluates its usage in the prototype application.

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Joao Orvalho

Question answering (Q/A) is the discipline concerned with building software systems that respond to natural language questions asked by a user, by extracting the answers from a corpus of unstructured texts. Interactions may include simple requests for facts ("Who was Johnny Mathis' track coach__?__"), requests for definitions ("What is bipolar disorder__?__"), and others. In the last five years, research in Q/A has been boosted by the Text Retrieval Conference (TREC) Q/A track, a comparative evaluation campaign carried out by the US National Institute of Standards and Technology (NIST), where the Q/A efforts of participating research groups, tested on a NIST benchmark of questions and texts, are subject to evaluation by NIST assessors. The TREC evaluation addresses whole Q/A systems only. Since these are usually very complex systems consisting of a variety of modules, each of which addresses a complex task (question type classification, candidate document retrieval, candidate answer extraction, answer selection, and so on), the contribution of each individual module to the performance of the system is not assessed in such evaluations. The aim of this paper is to look more deeply into the components of Q/A systems, and to assess the role and contribution of some widespread techniques that individually address some of the Q/A problems mentioned above. By adopting an experimental approach that is independent of particular Q/A systems, the authors reach several interesting conclusions: that the performance of a Q/A system is directly related to the level of redundancy of the text corpus (namely, the more instances of the correct answer that are present in the corpus, the higher the chance that the system will answer correctly); that the candidate answers that have a higher degree of word-by-word overlap with the question are more likely to contain a correct answer; and that there are severe upper bounds on the performance obtainable by selecting candidate answers through word-by-word overlap. The paper is methodologically sound, and its conclusions are valuable, even more so in light of the fact that component-wise analysis of Q/A systems is rare. The insights gained from this study may be helpful in improving the performance of a Q/A system, and in singling out the possible causes of its successes or failures. Online Computing Reviews Service

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cover image ACM Conferences
HYPERTEXT '03: Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
August 2003
232 pages
ISBN:1581137044
DOI:10.1145/900051
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 26 August 2003

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Author Tags

  1. history
  2. hypermedia interfaces
  3. hypermedia model
  4. mixed and augmented reality
  5. mobile gaming and storytelling

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HYPERTEXT '03 Paper Acceptance Rate 36 of 136 submissions, 26%;
Overall Acceptance Rate 378 of 1,158 submissions, 33%

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