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Demoing Platypus – A Multilingual Question Answering Platform for Wikidata [chapter]

Thomas Pellissier Tanon, Marcos Dias de Assunção, Eddy Caron, Fabian M. Suchanek
<span title="">2018</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this paper we present Platypus, a natural language question answering system on Wikidata.  ...  Our platform can answer complex queries in several languages, using hybrid grammatical and template based techniques.  ...  Our analyzer uses these templates in order to find the logical representation of a given natural language question.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-98192-5_21">doi:10.1007/978-3-319-98192-5_21</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nf56sf3bxnhzlh6f2hrsewq7fy">fatcat:nf56sf3bxnhzlh6f2hrsewq7fy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200307084424/https://hal.archives-ouvertes.fr/hal-01824972/document" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/54/b7/54b72db80b914cab003187ae8b5c072a87ccf338.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-98192-5_21"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Wikidata on MARS [article]

Peter F. Patel-Schneider, David Martin
<span title="2020-08-14">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
logic in which to write inference rules over property graphs.  ...  The rules of inference for the Wikidata ontology can be modelled as a MARPL ontology, with extensions to handle the Wikidata datatypes and functions over these datatypes.  ...  However the precise meaning of both of these is unclear, and a logical formulation for them would provide a better meaning for these parts of Wikidata.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.06599v1">arXiv:2008.06599v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3bqnejsmtjehba5pnsd4kyz5ci">fatcat:3bqnejsmtjehba5pnsd4kyz5ci</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200822133846/https://arxiv.org/pdf/2008.06599v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/78/2d/782d4e83c2a61d5eacade648bd978a3e08a44043.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.06599v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Wikidata Constraints on MARS (Extended Technical Report) [article]

David L. Martin, Peter F. Patel-Schneider
<span title="2020-08-17">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In prior work we have proposed a logical framework for Wikidata as a whole, based on multi-attributed relational structures (MARS) and related logical languages.  ...  Wikidata constraints, albeit useful, are represented and processed in an incomplete, ad hoc fashion.  ...  consider a broader range of constraints, and desirable to express them all in the same logical framework.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.03900v2">arXiv:2008.03900v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oycabejjdzh5lac7pg7ml5zmpu">fatcat:oycabejjdzh5lac7pg7ml5zmpu</a> </span>
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Using logical constraints to validate information in collaborative knowledge graphs: a study of COVID-19 on Wikidata

Houcemeddine Turki, Dariusz Jemielniak, Mohamed Ali Hadj Taieb, Jose Emilio Labra Gayo, Mohamed Ben Aouicha, Mus'ab Banat, Thomas Shafee, Eric Prud'Hommeaux, Tiago Lubiana, Diptanshu Das, Daniel Mietchen
<span title="2020-08-30">2020</span> <i title="Zenodo"> Zenodo </i> &nbsp;
In this research paper, we catalog the rules describing relational and statistical COVID-19 epidemiological data and implement them in SPARQL, a query language for semantic databases.  ...  We demonstrate the efficiency of our methods to evaluate structured information, particularly COVID-19 knowledge in Wikidata, and consequently in collaborative ontologies and knowledge graphs, and we show  ...  Acknowledgements We thank the Wikidata community, Olivier Corby (Université Côte d'Azur, France), Odile Papini (  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.4008358">doi:10.5281/zenodo.4008358</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eag7bhgerrgsraeyvhtvt443bu">fatcat:eag7bhgerrgsraeyvhtvt443bu</a> </span>
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Using logical constraints to validate information in collaborative knowledge graphs: a study of COVID-19 on Wikidata

Houcemeddine Turki, Dariusz Jemielniak, Mohamed Ali Hadj Taieb, Jose Emilio Labra Gayo, Mohamed Ben Aouicha, Mus'ab Banat, Thomas Shafee, Eric Prud'Hommeaux, Tiago Lubiana, Diptanshu Das, Daniel Mietchen
<span title="2020-08-30">2020</span> <i title="Zenodo"> Zenodo </i> &nbsp;
In this research paper, we catalog the rules describing relational and statistical COVID-19 epidemiological data and implement them in SPARQL, a query language for semantic databases.  ...  We demonstrate the efficiency of our methods to evaluate structured information, particularly COVID-19 knowledge in Wikidata, and consequently in collaborative ontologies and knowledge graphs, and we show  ...  For Task T4, we used logical constraints to find statements where the subject is not an instance of the most used subject class C S (G1), then to find statements where the object is not an instance of  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.4445363">doi:10.5281/zenodo.4445363</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fcw4fv6udfetnijrla5nx7nzum">fatcat:fcw4fv6udfetnijrla5nx7nzum</a> </span>
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Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps [article]

Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa
<span title="2020-11-12">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We also exploit the structured format in Wikidata and use logical rules to create questions that are natural but still require multi-hop reasoning.  ...  A multi-hop question answering (QA) dataset aims to test reasoning and inference skills by requiring a model to read multiple paragraphs to answer a given question.  ...  We thank the anonymous reviewers for suggestions on how to improve the dataset and the paper. This work was supported by JSPS KAKENHI Grant Number 18H03297.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.01060v2">arXiv:2011.01060v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cptoirhk2fe57f4pjpqjxfcgde">fatcat:cptoirhk2fe57f4pjpqjxfcgde</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201114105555/https://arxiv.org/pdf/2011.01060v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/90/01/9001eb3c3d5a96ad3d804410c2437e6f60feade9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.01060v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Detecting Synonymous Properties by Shared Data-Driven Definitions [chapter]

Jan-Christoph Kalo, Stephan Mennicke, Philipp Ehler, Wolf-Tilo Balke
<span title="">2020</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
through shared logical rules.  ...  In particular, our extensive experiments on DBpedia and Wikidata show that our rule-based approach can outperform stateof-the-art knowledge graph embedding techniques, while offering good interpretability  ...  A rule is a logical implication from a body term to a head term, where the body is a conjunction of multiple atoms . 1 . 1 The KG delivers the facts father(Karl M., Heinreich M.) and father(Heinrich  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-49461-2_21">doi:10.1007/978-3-030-49461-2_21</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6qqhcjjtkvfqtilirmmghfqrvu">fatcat:6qqhcjjtkvfqtilirmmghfqrvu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200602050129/https://link.springer.com/content/pdf/10.1007%2F978-3-030-49461-2_21.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/79/c0/79c0d5fee24abdf04268c0f84a12b3eaaaff556f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-49461-2_21"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Discovering Implicational Knowledge in Wikidata [article]

Tom Hanika and Maximilian Marx and Gerd Stumme
<span title="2019-02-03">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
A distinguishing feature of Wikidata is that the knowledge is collaboratively edited and curated.  ...  Although the complex structure of data modelling in Wikidata is not amenable to a direct approach, we overcome this limitation by extracting contextual representations of parts of Wikidata in a systematic  ...  them using properties and values, and backing up claims with references. is out of scope for this paper, we nevertheless demonstrate that we are able to obtain meaningful and interesting rules using our  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1902.00916v1">arXiv:1902.00916v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fd7uhcacqbdlvapllilmoo7jxq">fatcat:fd7uhcacqbdlvapllilmoo7jxq</a> </span>
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Fast and Exact Rule Mining with AMIE 3 [chapter]

Jonathan Lajus, Luis Galárraga, Fabian Suchanek
<span title="">2020</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Most importantly, we do not have to resort to approximations or sampling, but are able to compute the exact confidence and support of each rule.  ...  Given a knowledge base (KB), rule mining finds rules such as "If two people are married, then they live (most likely) in the same place".  ...  Rule mining is the task of automatically finding logical rules in a given KB. For example, a rule mining approach can find that "If X and Y are married, and X lives in Z, then Y also lives in Z".  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-49461-2_3">doi:10.1007/978-3-030-49461-2_3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mxyatrs45vhk3a2cy3prl5blam">fatcat:mxyatrs45vhk3a2cy3prl5blam</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200603112150/https://link.springer.com/content/pdf/10.1007%2F978-3-030-49461-2_3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6d/a6/6da67be013b92d64c78970a63e5ec2946b86d87a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-49461-2_3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Learning How to Correct a Knowledge Base from the Edit History

Thomas Pellissier Tanon, Camille Bourgaux, Fabian Suchanek
<span title="">2019</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">The World Wide Web Conference on - WWW &#39;19</a> </i> &nbsp;
Our method is based on rule mining, and uses the edits that solved some violations in the past to infer how to solve similar violations in the present.  ...  The experimental evaluation of our method on Wikidata shows significant improvements over baselines.  ...  Rule learning. Mining logical rules by finding correlations in a dataset is a well-established research topic. In particular, learning patterns in the data can be used for completing KBs [14, 36] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3308558.3313584">doi:10.1145/3308558.3313584</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/TanonBS19.html">dblp:conf/www/TanonBS19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v6nm6bzzcfbhbd3hdiinbcioqq">fatcat:v6nm6bzzcfbhbd3hdiinbcioqq</a> </span>
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Entity Disambiguation with Markov Logic Network Knowledge Graphs

Jiangtao Ma
<span title="">2017</span> <i title="Totem Publisher, Inc."> International Journal of Performability Engineering </i> &nbsp;
Then, we utilize MLN to inference the inconsistent relationship in the knowledge graph, and disambiguate the entities in the process of entity disambiguation.  ...  In the paper, we propose a Markov logic network knowledge graph solution for solving entity resolution problem.  ...  Acknowledgements This research is supported by the National Natural Science Foundation of China, in part by Henan Province Science and Technology Committee, in part by Henan Province Educational Committee  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.23940/ijpe.17.08.p11.12931303">doi:10.23940/ijpe.17.08.p11.12931303</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qxha7qaewnbw7onuj4gufdlrra">fatcat:qxha7qaewnbw7onuj4gufdlrra</a> </span>
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KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion [article]

Jie Zhou, Shengding Hu, Xin Lv, Cheng Yang, Zhiyuan Liu, Wei Xu, Jie Jiang, Juanzi Li, Maosong Sun
<span title="2021-06-04">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The two-view KG provides a testbed for models to "simulate" human's abilities on knowledge abstraction, concretization, and completion (KACC), which are crucial for human to recognize the world and manage  ...  In order to promote thorough analyses for KACC abilities of models, we propose a unified KG benchmark by improving existing benchmarks in terms of dataset scale, task coverage, and difficulty.  ...  Multi-hop Triple Annotation To support MKA/MKC tasks, we extract multi-hop "ins" and "sub" triples from corresponding train sets according to rule (1) and rule (2) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.13631v2">arXiv:2004.13631v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/akrukb2mzngxjhokmks6z727kq">fatcat:akrukb2mzngxjhokmks6z727kq</a> </span>
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Benchmarking Knowledge-driven Zero-shot Learning [article]

Yuxia Geng, Jiaoyan Chen, Xiang Zhuang, Zhuo Chen, Jeff Z. Pan, Juan Li, Zonggang Yuan, Huajun Chen
<span title="2021-11-11">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Each resource has a normal ZSL benchmark and a KG containing semantics ranging from text to attribute, from relational knowledge to logical expressions.  ...  Some very recent studies thus propose to use Knowledge Graph (KG) due to its high expressivity and compatibility for representing kinds of knowledge.  ...  We choose AMIE [56] for its convenience and fast-speed to extract logic rules of different lengths from the Wikidata KG proposed above.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.15047v2">arXiv:2106.15047v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vfe4vdxlprcrtpcjshda7ofxtu">fatcat:vfe4vdxlprcrtpcjshda7ofxtu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211117114303/https://arxiv.org/pdf/2106.15047v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ac/24/ac248672e1883095c20b688a8ab43e3e40c2b762.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.15047v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

RuBQ: A Russian Dataset for Question Answering over Wikidata [article]

Vladislav Korablinov, Pavel Braslavski
<span title="2020-05-21">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The high-quality dataset consists of 1,500 Russian questions of varying complexity, their English machine translations, SPARQL queries to Wikidata, reference answers, as well as a Wikidata sample of triples  ...  The data underwent automatic filtering, crowd-assisted entity linking, automatic generation of SPARQL queries, and their subsequent in-house verification.  ...  We also thank Pavel Bakhvalov, who helped collect RuWikidata8M sample and contributed to the first version of the entity linking tool. We are grateful to Yandex.Toloka for their data annotation grant.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.10659v1">arXiv:2005.10659v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4fyptlackrafngtbehb4mlmkhm">fatcat:4fyptlackrafngtbehb4mlmkhm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200527235906/https://arxiv.org/pdf/2005.10659v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.10659v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Ontology population for open-source intelligence: A GATE-based solution

Giulio Ganino, Domenico Lembo, Massimo Mecella, Federico Scafoglieri
<span title="2018-09-16">2018</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/afve5b3tavbfzch46mdtazbqla" style="color: black;">Software, Practice &amp; Experience</a> </i> &nbsp;
knowledge base Wikidata * .  ...  ., persons, places, or organizations), without considering relationships among them.  ...  ACKNOWLEDGEMENT This work has been partly supported by the Leonardo Company (formerly Selex ES) in the context of the XASMOS program, by the Italian project RoMA (SCN 00064) and by the initiative Filiera  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/spe.2640">doi:10.1002/spe.2640</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3ctwdi5wy5dqrnugeizpbzhsxq">fatcat:3ctwdi5wy5dqrnugeizpbzhsxq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200305073751/https://iris.uniroma1.it/retrieve/handle/11573/1184181/876758/Ganino_Ontology-population_2018.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1f/02/1f021218cd08b83d5a7d987332f7dd1cfc2c9149.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/spe.2640"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>
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