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Research topic recommendation service: an approach based on semantic relation in context

Published: 24 November 2008 Publication History

Abstract

Research Topic Recommendation Service, which is an application of Knowledge Discovery, recommends users worthy research topics that have not conducted from public literatures such as papers or patents. Past studies had a few disadvantages such as low precisions or requirements of domain-specific knowledge because the studies used statistical method or descriptions written by human experts. This paper approaches the research topic recommendation problem with the method that parses sentences of full text and uses semantic relations of context. We will also describe the architecture of Scientific Tech Mining System designed for the research topic recommendation service.

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    cover image ACM Conferences
    iiWAS '08: Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
    November 2008
    703 pages
    ISBN:9781605583495
    DOI:10.1145/1497308
    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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    Published: 24 November 2008

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    Author Tags

    1. knowledge discovery
    2. recommendation service
    3. semantic relation

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