Towards Annotopia—Enabling the Semantic Interoperability of Web-Based Annotations

Hunter, Jane; Gerber, Anna

doi:10.3390/fi4030788

Cited by 4 publications

(4 citation statements)

References 6 publications

(6 reference statements)

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“…For the purposes of this paper, the important issue is that each of these strategies supports basic annotation provenance. For example, the persistent store for the Scholarly Editions annotation platform [70] uses Named Graphs for annotations and to support SPARQL queries, but uses the web itself as its “data” store since Scholarly Editions principally annotates documents. We considered the use of Named Graphs for FilteredPush, but, particularly in the face of possibly huge numbers of software-generated annotations, we presently use the Fedora Commons [71] document store for a persistent annotation store and a separate triple store managed by Apache Jena [72] to support reasoning and SPARQL queries.…”

Section: Discussionmentioning

confidence: 99%

Semantic Annotation of Mutable Data

et al. 2013

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Electronic annotation of scientific data is very similar to annotation of documents. Both types of annotation amplify the original object, add related knowledge to it, and dispute or support assertions in it. In each case, annotation is a framework for discourse about the original object, and, in each case, an annotation needs to clearly identify its scope and its own terminology. However, electronic annotation of data differs from annotation of documents: the content of the annotations, including expectations and supporting evidence, is more often shared among members of networks. Any consequent actions taken by the holders of the annotated data could be shared as well. But even those current annotation systems that admit data as their subject often make it difficult or impossible to annotate at fine-enough granularity to use the results in this way for data quality control. We address these kinds of issues by offering simple extensions to an existing annotation ontology and describe how the results support an interest-based distribution of annotations. We are using the result to design and deploy a platform that supports annotation services overlaid on networks of distributed data, with particular application to data quality control. Our initial instance supports a set of natural science collection metadata services. An important application is the support for data quality control and provision of missing data. A previous proof of concept demonstrated such use based on data annotations modeled with XML-Schema.

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Section: Discussionmentioning

confidence: 99%

Semantic Annotation of Mutable Data

et al. 2013

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“…8 Approaches building on RESTful architectures and JSON-LD are also being pursued by the Linguistic Data Consortium (Wright, 2014) and the Language Application Grid (Ide et al, 2014), among others. A number of annotation stores following similar protocols have also been released recently, including Lorestore (Hunter and Gerber, 2012), PubAnnotation (Kim and Wang, 2012), the Annotator.js store 9 , and NYU annotations 10 .…”

Section: Related Workmentioning

confidence: 99%

Sharing annotations better: RESTful Open Annotation

Pyysalo¹,

Campos²,

Cejuela³

et al. 2015

Proceedings of ACL-IJCNLP 2015 System Demonstrations

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Annotations are increasingly created and shared online and connected with web resources such as databases of real-world entities. Recent collaborative efforts to provide interoperability between online annotation tools and resources have introduced the Open Annotation (OA) model, a general framework for representing annotations based on web standards. Building on the OA model, we propose to share annotations over a minimal web interface that conforms to the Representational State Transfer architectural style and uses the JSON for Linking Data representation (JSON-LD). We introduce tools supporting this approach and apply it to several existing annotation clients and servers, demonstrating direct interoperability between tools and resources that were previously unable to exchange information. The specification and tools are available from http://restoa.github.io/.

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Section: Related Workmentioning

confidence: 99%

Proceedings of ACL-IJCNLP 2015 System Demonstrations

2015

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Towards Annotopia—Enabling the Semantic Interoperability of Web-Based Annotations

Cited by 4 publications

References 6 publications

Semantic Annotation of Mutable Data

Semantic Annotation of Mutable Data

Sharing annotations better: RESTful Open Annotation

Proceedings of ACL-IJCNLP 2015 System Demonstrations

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