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International Conference on Web Information Systems Engineering

WISE 2013: Web Information Systems Engineering – WISE 2013 pp 241–255Cite as

AKMiner: Domain-Specific Knowledge Graph Mining from Academic Literatures

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8181))

Abstract

Existing academic search systems like Google Scholar usually return a long list of scientific articles for a given research domain or topic (e.g. “document summarization”, “information extraction”), and users need to read volumes of articles to get some ideas of the research progress for a domain, which is very tedious and time-consuming. In this paper, we propose a novel system called AKMiner (Academic Knowledge Miner) to automatically mine useful knowledge from the articles in a specific domain, and then visually present the knowledge graph to users. Our system consists of two major components: a) the extraction module which extracts academic concepts and relations jointly based on Markov Logic Network, and b) the visualization module which generates knowledge graphs, including concept-cloud graphs and concept relation graphs. Experimental results demonstrate the effectiveness of each component of our proposed system.

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Author information

Authors and Affiliations

  1. Institute of Computer Science and Technology, The MOE Key Laboratory of Computational Linguistics, Peking University, Beijing, 100871, China

    Shanshan Huang & Xiaojun Wan

Authors
  1. Shanshan Huang
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  2. Xiaojun Wan
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Editor information

Editors and Affiliations

  1. The University of New South Wales, Sydney, NSW, Australia

    Xuemin Lin

  2. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Yannis Manolopoulos

  3. AT&T Labs-Research, Florham Park, NJ, USA

    Divesh Srivastava

  4. Victoria University, Melbourne, Australia

    Guangyan Huang

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© 2013 Springer-Verlag Berlin Heidelberg

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Huang, S., Wan, X. (2013). AKMiner: Domain-Specific Knowledge Graph Mining from Academic Literatures. In: Lin, X., Manolopoulos, Y., Srivastava, D., Huang, G. (eds) Web Information Systems Engineering – WISE 2013. WISE 2013. Lecture Notes in Computer Science, vol 8181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41154-0_18

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  • DOI: https://doi.org/10.1007/978-3-642-41154-0_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41153-3

  • Online ISBN: 978-3-642-41154-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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