research-article

Retrieving and ranking scientific publications from linked open data repositories

Authors:

Klaus TochtermannAuthors Info & Claims

i-KNOW '14: Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business

Article No.: 29, Pages 1 - 4

https://doi.org/10.1145/2637748.2638436

Published: 16 September 2014 Publication History

Abstract

Content enrichment of publications stored in different cross domain Digital Libraries can facilitate the scholarly communication in big way. However, current DL still entails limitation of interoperability between cross domain repositories. This paper emphasizes on this limitation and proposes an innovative approach for finding and recommending scientific publications which are stored in disparate repositories. At first Linked Open Data is considered by exploring existing alignments between Econstor and other datasets within the current LOD cloud through the STW Thesaurus. Moreover, incorporation of other relevant metadata is proposed by implementing a data mining approach which improves the semantic relativeness of the publications from the recommended list.

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Cited By

Figueroa CVagliano IRocha OTorchiano MZucker CCorrales JMorisio M(2019)Executing, Comparing, and Reusing Linked-Data-Based Recommendation Algorithms With the Allied FrameworkSemantic Web Science and Real-World Applications10.4018/978-1-5225-7186-5.ch002(18-47)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-7186-5.ch002
Wenige LBerger GRuhland J(2019)SKOS-Based Concept Expansion for LOD-Enabled Recommender SystemsMetadata and Semantic Research10.1007/978-3-030-14401-2_9(101-112)Online publication date: 24-Feb-2019
https://doi.org/10.1007/978-3-030-14401-2_9
Wenige LRuhland J(2018)Retrieval by recommendationInternational Journal on Digital Libraries10.5555/3270442.327046819:2-3(253-269)Online publication date: 1-Sep-2018
https://dl.acm.org/doi/10.5555/3270442.3270468
Show More Cited By

Index Terms

Retrieving and ranking scientific publications from linked open data repositories
1. Applied computing
  1. Computers in other domains
    1. Digital libraries and archives
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction
  2. Information systems applications
    1. Digital libraries and archives

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cover image ACM Other conferences

i-KNOW '14: Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business

September 2014

262 pages

ISBN:9781450327695

DOI:10.1145/2637748

Copyright © 2014 Owner/Author.

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 September 2014

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i-KNOW '14

i-KNOW '14: 14th International Conference on Knowledge Technologies and Data-driven Business

September 16 - 19, 2014

Graz, Austria

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i-KNOW '14 Paper Acceptance Rate 25 of 73 submissions, 34%;

Overall Acceptance Rate 77 of 238 submissions, 32%

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Cited By

Figueroa CVagliano IRocha OTorchiano MZucker CCorrales JMorisio M(2019)Executing, Comparing, and Reusing Linked-Data-Based Recommendation Algorithms With the Allied FrameworkSemantic Web Science and Real-World Applications10.4018/978-1-5225-7186-5.ch002(18-47)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-7186-5.ch002
Wenige LBerger GRuhland J(2019)SKOS-Based Concept Expansion for LOD-Enabled Recommender SystemsMetadata and Semantic Research10.1007/978-3-030-14401-2_9(101-112)Online publication date: 24-Feb-2019
https://doi.org/10.1007/978-3-030-14401-2_9
Wenige LRuhland J(2018)Retrieval by recommendationInternational Journal on Digital Libraries10.5555/3270442.327046819:2-3(253-269)Online publication date: 1-Sep-2018
https://dl.acm.org/doi/10.5555/3270442.3270468
(2018)Linking scienceInternational Journal of Metadata, Semantics and Ontologies10.5555/3212410.321241612:2-3(124-141)Online publication date: 17-Dec-2018
https://dl.acm.org/doi/10.5555/3212410.3212416
Figueroa CVagliano IRocha OTorchiano MZucker CCorrales JMorisio M(2017)AlliedInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.201710010713:4(134-154)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.4018/IJSWIS.2017100107
Wenige LRuhland J(2017)Retrieval by recommendation: using LOD technologies to improve digital library searchInternational Journal on Digital Libraries10.1007/s00799-017-0224-819:2-3(253-269)Online publication date: 19-Jul-2017
https://doi.org/10.1007/s00799-017-0224-8
Hajra ATochtermann K(2016)Enriching Scientific Publications from LOD Repositories Through Word Embeddings ApproachMetadata and Semantics Research10.1007/978-3-319-49157-8_24(278-290)Online publication date: 4-Nov-2016
https://doi.org/10.1007/978-3-319-49157-8_24
Hajra ARadevski VTochtermann K(2015)Author Profile Enrichment for Cross-Linking Digital LibrariesResearch and Advanced Technology for Digital Libraries10.1007/978-3-319-24592-8_10(124-136)Online publication date: 28-Nov-2015
https://doi.org/10.1007/978-3-319-24592-8_10

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