Titlebook: Digital Libraries for Open Knowledge; 22nd International C Eva Méndez,Fabio Crestani,João Correia Lopes Conference proceedings 2018 Springe

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Conference proceedings 2018ected from 81 submissions. The general theme of TPDL 2018 was Digital Libraries for Open Knowledge. The papers present a wide range of the following topics: Metadata, Entity Disambiguation, Data Management, Scholarly Communication, Digital Humanities, User Interaction, Resources, Information Extraction, Information Retrieval, Recommendation. .

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RoboCup 2015: Robot World Cup XIXl metadata with minimal extra cost. We apply this approach to the dblp collection to generate two freely available test collections. One collection focuses on the properties of name-related defects (such as similarities of synonymous names) and one on the evaluation of disambiguation algorithms.

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Harnessing Historical Corrections to Build Test Collections for Named Entity Disambiguationl metadata with minimal extra cost. We apply this approach to the dblp collection to generate two freely available test collections. One collection focuses on the properties of name-related defects (such as similarities of synonymous names) and one on the evaluation of disambiguation algorithms.

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0302-9743 ollowing topics: Metadata, Entity Disambiguation, Data Management, Scholarly Communication, Digital Humanities, User Interaction, Resources, Information Extraction, Information Retrieval, Recommendation. .978-3-030-00065-3978-3-030-00066-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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0302-9743 rto, Portugal, in September 2018. The 51 full papers, 17 short papers, and 13 poster and tutorial papers presented in this volume werecarefully reviewed and selected from 81 submissions. The general theme of TPDL 2018 was Digital Libraries for Open Knowledge. The papers present a wide range of the f

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RoboCup 2014: Robot World Cup XVIIIted by misleading and incomplete semantic annotations. For this reason, we investigate approaches to detect documents where quality criteria are met. In contrast to mainstream methods, our approach, named Qualle, estimates quality at the document-level rather than the concept-level. Qualle is implem

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