Search (4 results, page 1 of 1)

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Abstract

In this paper we present a language-independent approach for conflation that does not depend on predefined rules or prior knowledge of the target language. The proposed unsupervised method is based on an enhancement of the pure n-gram model that can group related words based on various string-similarity measures, while restricting the search to specific locations of the target word by taking into account the order of n-grams. We show that the method is effective to achieve high score similarities for all word-form variations and reduces the ambiguity, i.e., obtains a higher precision and recall, compared to pure n-gram-based approaches for English, Portuguese, and Arabic. The proposed method is especially suited for conflation approaches in Arabic, since Arabic is a highly inflectional language. Therefore, we present in addition an adaptive user interface for Arabic text retrieval called araSearch. araSearch serves as a metasearch interface to existing search engines. The system is able to extend a query using the proposed conflation approach such that additional results for relevant subwords can be found automatically.

Type

a

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Abstract

Um Kinder bei der Informationssuche angemessen unterstützen zu können, muss ihr Entwicklungsstand - und die damit verbundenen speziellen Bedürfnisse und Fähigkeiten - beim Design von Informationssystemen berücksichtigt werden. Existierende Systeme sind meist speziell für die Zielgruppe erwachsener Nutzer konzipiert und berücksichtigen somit nicht die besonderen Bedürfnisse der stark wachsenden Gruppe junger Nutzer, die heutzutage immer früher mit Informationssystemen in Kontakt kommt. In diesem Artikel fassen wir die Ergebnisse aktueller Arbeiten und Studien im Bereich der Informationssuche von jungen Nutzern zusammen. Anschießend leiten wir Empfehlungen für die Gestaltung von kinderfreundlichen Informationssystemen, u. a. basierend auf eigenen Arbeiten, ab.

Type

a

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Abstract

In this paper, we present the state of the art in the field of information retrieval that is relevant for understanding how to design information retrieval systems for children. We describe basic theories of human development to explain the specifics of young users, i.e., their cognitive skills, fine motor skills, knowledge, memory and emotional states in so far as they differ from those of adults. We derive the implications these differences have on the design of information retrieval systems for children. Furthermore, we summarize the main findings about children's search behavior from multiple user studies. These findings are important to understand children's information needs, their search strategies and usage of information retrieval systems. We also identify several weaknesses of previous user studies about children's information-seeking behavior. Guided by the findings of these user studies, we describe challenges for the design of information retrieval systems for young users. We give an overview of algorithms and user interface concepts. We also describe existing information retrieval systems for children, in specific web search engines and digital libraries. We conclude with a discussion of open issues and directions for further research. The survey provided in this paper is important both for designers of information retrieval systems for young users as well as for researchers who start working in this field.

Type

a

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Classification

Pub A 68 / Recherche

SBB

Pub A 68 / Recherche