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Taking chemistry to the task: personalized queries for chemical digital libraries

Published: 13 June 2011 Publication History

Abstract

Nowadays, the information access is conducted almost exclusively using the Web. Simple keyword based Web search engines, e.g. Google or Yahoo!, offer suitable retrieval and ranking features. In contrast, for highly specialized domains, represented by digital libraries, these features are insufficient. Considering the domain of chemistry, where searching for relevant literature is essentially centered on chemical entities. Beside commercial information providers such as Chemical Abstract Service (CAS) numerous groups are working on building free chemical search engines to overcome the expensive access to chemical literature. However, due to the nature of chemical queries these are often overspecialized. Often we need meaningful similarity measures for chemical entities for query relaxation. In chemistry, the similarity measures are vast; more than 40 similarity measures are available and focus on different aspects of chemical entities. This vast number of similarity measures is obvious, because the desired search results highly depend on the working field of the chemist. In this paper we present a personalized retrieval system for chemical documents taking into account the background knowledge of the individual chemist. This is done by a query relaxation for chemical entities using similar substances. We evaluate our approach extensively by analyzing the correlation of commonly used chemical similarity measures and fingerprint representations. All uncorrelated measures are finally used by our feedback engine to learn preferred similarity measures for each user. We also conducted a user study with domain experts showing that our system can assign a unique similarity measure for 75% of the users after only 10 feedback cycles.

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  • (2013)Context-Sensitive Ranking Using Cross-Domain Knowledge for Chemical Digital LibrariesResearch and Advanced Technology for Digital Libraries10.1007/978-3-642-40501-3_29(285-296)Online publication date: 2013
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  1. Taking chemistry to the task: personalized queries for chemical digital libraries

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    cover image ACM Conferences
    JCDL '11: Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
    June 2011
    500 pages
    ISBN:9781450307444
    DOI:10.1145/1998076
    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: 13 June 2011

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    Author Tags

    1. chemical digital libraries
    2. personalization
    3. query relaxation

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    JCDL '11: Joint Conference on Digital Libraries
    June 13 - 17, 2011
    Ontario, Ottawa, Canada

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    View all
    • (2022)Services personalization in digital academic libraries: a Delphi studyDigital Library Perspectives10.1108/DLP-03-2022-001939:1(39-61)Online publication date: 7-Sep-2022
    • (2017)Semantic Facettation in Pharmaceutical Collections Using Deep Learning for Active Substance ContextualizationDigital Libraries: Data, Information, and Knowledge for Digital Lives10.1007/978-3-319-70232-2_4(41-53)Online publication date: 3-Nov-2017
    • (2013)Context-Sensitive Ranking Using Cross-Domain Knowledge for Chemical Digital LibrariesResearch and Advanced Technology for Digital Libraries10.1007/978-3-642-40501-3_29(285-296)Online publication date: 2013
    • (2012)Catching the drift --- indexing implicit knowledge in chemical digital librariesProceedings of the Second international conference on Theory and Practice of Digital Libraries10.1007/978-3-642-33290-6_41(383-395)Online publication date: 23-Sep-2012

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