Matches in ESWC 2020 for { ?s ?p ?o. }
- Author.244.3 isHeldBy Martin_Ledvinka.
- Miroslav_Blaško type Person.
- Miroslav_Blaško name "Miroslav Blaško".
- Miroslav_Blaško label "Miroslav Blaško".
- Miroslav_Blaško holdsRole Author.179.4.
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- Author.244.1 label "Miroslav Blaško, 1st Author for Paper 244".
- Author.244.1 withRole PublishingRole.
- Author.244.1 isHeldBy Miroslav_Blaško.
- Petr_Kremen type Person.
- Petr_Kremen name "Petr Kremen".
- Petr_Kremen label "Petr Kremen".
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- Author.244.4 label "Petr Kremen, 4th Author for Paper 244".
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- Paper.179_Review.0 type ReviewVersion.
- Paper.179_Review.0 issued "2001-01-13T11:45:00.000Z".
- Paper.179_Review.0 creator Paper.179_Review.0_Reviewer.
- Paper.179_Review.0 hasRating ReviewRating.1.
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- Paper.179_Review.0 reviews Paper.179.
- Paper.179_Review.0 issuedAt easychair.org.
- Paper.179_Review.0 issuedFor Conference.
- Paper.179_Review.0 releasedBy Conference.
- Paper.179_Review.0 hasContent "The authors present an approach to semi-autmatically learn and populate an ontology utilizing Czech language texts. The texts are first preprocessed and analyzed for surface forms representing entities and respective phrases representing the relations between the entities. Based on this extracted information several rules are applied to formulate the relationships. These relationships are presented to the user and asked for approval/rejection. The approach provides two different modi: a text is analyzed for a newly created ontology and instances, classes, properties have to be learned from the provided text. Or the ontology already contains classes/instances and the text is analyzed for specific entities found in the vocabulary and the user is presented links between these extracted entities according to the underlying ontology. The paper is concluded with an evaluation of the applicability of the formulated rules/patterns regarding recall and precision. Overall, it is eligible to provide development for entity linking within new languages. Especially, when the language differs in syntax from Germanic or Romanic family of languages. However, the authors seem to start from the very beginning of entity linking. For instance, they did not discuss previous work on Czech language by Michal Konkol: Konkol M. (2015) First Steps in Czech Entity Linking. In: Král P., Matoušek V. (eds) Text, Speech, and Dialogue. TSD 2015. Lecture Notes in Computer Science, vol 9302. Springer, Cham The description of the identification of entities within textual information seems a bit naive as they describe that surface forms consisting of combined nouns are preferred over annotating each term separately. Here, the authors could have invested some more time on previous approaches even if they are in a different language. The authors present a set of 9 rules to be utlized for ontology learning. Unfortunately, there is no comparison to existing approaches (again, even for other languages). Is this set complete? Is it sufficient to find (almost) all relations mentioned in a text? Also, this issue is not included in the evaluation. Recall and precision is evaluated for each pattern separately, but there is no information, if all relationship contained in a text could be extraced using these rules. In addition, the authors could have mentioned results for other pattern-based approaches in ontology learning. In this way, the achieved results and the scientific contribution could be estimated although there is no other approach in Czech language."".
- Author.180.1 type RoleDuringEvent.
- Author.180.1 label "Andrea Cimmino Arriaga, 1st Author for Paper 180".
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- Author.180.1 isHeldBy Andrea_Cimmino_Arriaga.
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- Author.180.2 type RoleDuringEvent.
- Author.180.2 label "Alba Fernández Izquierdo, 2nd Author for Paper 180".
- Author.180.2 withRole PublishingRole.
- Author.180.2 isHeldBy Alba_Fernández_Izquierdo.
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- Andrea_Cimmino_Arriaga type Person.
- Andrea_Cimmino_Arriaga name "Andrea Cimmino Arriaga".
- Andrea_Cimmino_Arriaga label "Andrea Cimmino Arriaga".
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- Andrea_Cimmino_Arriaga holdsRole Author.315.1.
- Author.315.1 type RoleDuringEvent.
- Author.315.1 label "Andrea Cimmino Arriaga, 1st Author for Paper 315".
- Author.315.1 withRole PublishingRole.
- Author.315.1 isHeldBy Andrea_Cimmino_Arriaga.
- Alba_Fernández_Izquierdo type Person.
- Alba_Fernández_Izquierdo name "Alba Fernández Izquierdo".
- Alba_Fernández_Izquierdo label "Alba Fernández Izquierdo".
- Alba_Fernández_Izquierdo holdsRole Author.180.2.
- Alba_Fernández_Izquierdo holdsRole Author.315.2.
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- Author.315.2 label "Alba Fernández Izquierdo, 2nd Author for Paper 315".
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- Paper.180_Review.0 issued "2001-02-03T09:41:00.000Z".
- Paper.180_Review.0 creator Paper.180_Review.0_Reviewer.
- Paper.180_Review.0 hasRating ReviewRating.1.
- Paper.180_Review.0 hasReviewerConfidence ReviewerConfidence.4.
- Paper.180_Review.0 reviews Paper.180.
- Paper.180_Review.0 issuedAt easychair.org.
- Paper.180_Review.0 issuedFor Conference.
- Paper.180_Review.0 releasedBy Conference.
- Paper.180_Review.0 hasContent "This paper presents two resources: (1) Astrea-KG, a knowledge graph representing mappings between OWL constraints and their equivalent SHACL constraints; and (2) Astrea, a tool for automatically generating SHACL shapes from ontologies using Astrea-KG. As usual, this resource submmission is reviewed according to the following dimensions: potential impact, reusability, design and technical quality, as well as availability. Overall I think the submission is borderline due to a number of weaknesses in the reusability and technical quality. === Potential Impact === The resource certainly plugs a gap in the state of the art and should be of interest to the Semantic Web community. Given the fact that there is an increase of interest to SHACL to complement OWL as a schema-level modeling language for the linked data, I believe the submitted resources can accelerate the adoption of Semantic Web technologies. Comparison with existing work with similar scope has also been made. For the latter, however, I find that the comparison with the work from Knublauch (reference #11) should have been elaborated more. What do the authors mean by the use of patterns was not considered? === Reusability === There is not yet evidence of usage beyond the resource creators. Documentation are scatterred, hence making it a bit difficult to obtain. The API documentation returns a JSON string that is virtually not readable by human. There is a potential for extensibility though this is not discussed clearly by the authors. What I find missing is the documentation about the mapping implementation that is published together with the mapping. Yes, there is a HTML page for the vocabulary terms, but the explanation about mapping implementation is a bit lacking: one needs to read through the paper (common users may miss this) to understand that the query in the mapping implementation should be applied to the source pattern in order to obtain the target pattern. === Design & Technical quality The methodology followed during the creation of the resources seems sound to me. No obvious re-use was done though. Schema diagrams are provided in the paper. The one in the resource website can only be accessed if we go to https://w3id.org/def/astrea, which is not explicitly mentioned in the paper. but not in the resource's website. There are a few points at which improvements could be made. - There is non-uniformity in the use of namespace in the KG. Some URIs are in w3id.org namespace, while some other are in http://astrea.helio.linkeddata.es/ namespace, hence does not satisfy the linked data principles. What's the reason for this non-uniformity? - The URIs in http://astrea.helio.linkeddata.es/ are not resolvable. - The property isMappedBy should have been named isMappedTo - The authors claimed that the OWL constructs and the corresponding SHACL shapes are equivalent, but there is no explanation why this holds. Given that there are 157 mappings proposed, how do we know if the mappings are indeed correct? Note that OWL 2 uses open world assumption, while SHACL essentially employs closed world assumption. Equivalence between them is thus not necessarily straightforward. === Availability === The URI http://astrea.linkeddata.es is accessible though for some reason, I sometimes got "site is unreachable" as response. The URI http://astrea.helio.linkeddata.es/ (which appears in the KG) is not accessible (I received a response of "the site is unreachable". The DOI https://doi.org/10.5281/zenodo.3571009 resolves to a Zenodo record giving me the KG. The KG does use RDF Turtle syntax, which is an open standard. Open license information is mentioned in the paper, but not in any of the resource addresses. API and download are provided, but it is unclear if the KG is registered in any of the community registries. The software is available in Github. Sustainability plan is unclear beyond the claim that continous updates will be performed. ******* AFTER REBUTTAL ******** I thank the reviewer for the response. My concerns are addressed by the response and the promised improvement in the paper. I update my score accordingly."".
- Paper.181 type SubmissionsPaper.
- Paper.181 label "Semantic Cube: A Framework for Managing Organisational Changes and Risks Using Ontologies".
- Paper.181 title "Semantic Cube: A Framework for Managing Organisational Changes and Risks Using Ontologies".
- Paper.181 issued "2001-12-04T17:49:00.000Z".
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- Paper.181 submission Paper.181.
- Paper.181 track Track.Social%20and%20Human.
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- Author.181.1 type RoleDuringEvent.
- Author.181.1 label "Yalemisew Abgaz, 1st Author for Paper 181".
- Author.181.1 withRole PublishingRole.
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- Author.181.2 type RoleDuringEvent.
- Author.181.2 label "Junli Liang, 2nd Author for Paper 181".
- Author.181.2 withRole PublishingRole.
- Author.181.2 isHeldBy Junli_Liang.
- b0_g488 first Author.181.3.
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- Author.181.3 type RoleDuringEvent.
- Author.181.3 label "Natalia Duda, 3rd Author for Paper 181".
- Author.181.3 withRole PublishingRole.
- Author.181.3 isHeldBy Natalia_Duda.
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