Decentralised Authoring, Annotations and Notifications for a Read-Write Web with dokieli

Authors
Sarven Capadisli1
Amy Guy2🐦
Ruben Verborgh3🎸
Christoph Lange1
Sören Auer1
Tim Berners-Lee4🕸
Identifier
http://csarven.ca/dokieli-rww
Notifications Inbox
inbox/
In Reply To
Call for Linked Research
ICWE2017 Call for Application Papers
Annotation Service
annotation/
Published
Modified
License
CC BY 4.0

Abstract

Decentralising the creation, publication, and annotation of hypertext documents provides authors with a technological guarantee for independence of any publication authority. While the Web was designed as a decentralised environment, individual authors still lack the ability to conveniently author and publish documents, and to engage in social interactions with documents of others in a truly decentralised fashion. We present dokieli, a fully decentralised, browser-based authoring and annotation platform with built-in support for social interactions, through which people retain the ownership of and sovereignty over their data. The resulting “living” documents are interoperable and independent of dokieli since they follow standards and best practices, such as HTML+RDFa for a fine-grained semantic structure, Linked Data Platform for personal data storage, and Linked Data Notifications for updates. This article describes dokieli’s architecture and implementation, demonstrating advanced document authoring and interaction without a single point of control. Such an environment provides the right technological conditions for independent publication of scientific articles, news, and other works that benefit from diverse voices and open interactions.

Keywords

Introduction

While the Web was originally conceived as a decentralised platform where every organisation and individual can participate, it became increasingly centralised with less than 1% of the servers serving more than 99% of the content. The main reason for this is rooted in technology: it is currently much easier and more efficient to author, manage, publish, and search large amounts of similarly structured content using a centralised platform. Blogger, YouTube and Facebook, for example, are centralised authoring, publishing, and search platforms for blog posts, videos or social network content respectively.

However, independence of centralised platforms is a necessity for ownership of published ideas, and to establish a relation of trust. For example, Facebook has been accused of bias, false information, and censorship—but rather than blaming this on any particular platform, we identify it as an unavoidable result of centralisation. After all, there is a continued tension between unrestricted publication rights on the one hand, and a guarantee of balanced, verified information on the other. In a fully decentralised setting, each source is filterless and responsible for its own quality and reputation, while others are free to selectively (dis-)trust certain sources using any mechanism they desire.

Decentralised authoring, publication, and annotation furthermore have the potential to impact areas in which centralisation currently determines the pace of evolution. Scientific publishing, for instance, is often bound to centralised review and dissemination processes. Instead, rigorous scientific discourse could be realised with an open, decentralised environment for the annotation of manuscripts, which has the potential to engage more people sooner. Trust then no longer stems from a finite process with limited transparency, but is rather continuously assessed by repeated independent validation. Publication thereby becomes the starting point rather than the end point.

If we want to strengthen the decentralised nature of the Web again, we need to develop technologies to simplify the decentralised authoring, management, exploration, and search of Web content.

In this article we present the principles and architecture for a fully distributed authoring and publishing system. We describe the dokieli implementation of this architecture as well as an overview on its current adoption before we conclude with an outlook on challenges and future work.

Principles

This describes the principles against which decentralised approaches for authoring, annotation and notifications should be designed. These principles are derived from current literature on decentralisation, and Web development best practices.

Data storage independent of service providers
Users should have a choice in where they store their data and full control over it e.g. with regard to who is allowed to access it. The Industrial Data Space initiative calls this data sovereignty.
Interoperability
By allowing the application logic to be decoupled from the data, users can switch between applications and personal data storage servers, thereby avoiding a vendor lock-in. To achieve maximum interoperability, applications should conform to well-defined Web standards and protocols (rather than properietary software implementations). Dangers of data silos and some example standards to use to decentralise are given in Socially-aware Cloud Storage.
Separation of concerns
A progressive enhancement strategy to connect the structural, presentational, and behavioural layers allows content and base functionality to be accessible through different media and devices (as described in Progressive Enhancement and the Future of Web Design).
Accessibility
To lower the barrier for entry for all forms of participation, enhanced functionality should be accessible to users based on the capabilities of their user-agents, storage availability, network access or personal preferences (we consider this to be self-evident, and there are a plethora of Web best practices in this area).
Freedom of expression
Because there are no central authorities, we must assume applications follow the open-world principle, where any author can say anything about anything. Identifying everything using [de]referenceable IRIs allows any distributed authoring or annotation application to reference and link to previously published content (this overlaps with Principles 1, 3 and 4 in the W3C Semantic Web Activity charter).
Web of Trust
The Web as a collaborative medium makes it possible for people to take responsibility (or be accountable) for their contributions. It should be possible for people to publish, share, and annotate information while ensuring their provenance, authenticity and integrity [Weaving a Web of Trust, Trust Management for the Semantic Web, Trust Networks on the Semantic Web].

Architecture and technologies

In this section we discuss an architecture to bridge the gaps in existing work for a decentralised authoring and semantic annotation client-side application, which decouples itself from data and specific server requirements.

Architectural overview

Decentralised read-write environments make it possible for different actors (e.g., authors, reviewers) to have their own personal online storages where they can: manage their data; have socially-aware access controls on the data (e.g., who gets to see and update what); send notifications based on their interactions; and permit different applications to operate on the data, including moving the data from one server to another seamlessly.

Figure 1 depicts the contrast between typical centralised and decentralised architectures.

Typical centralised and decentralised architectures

dokieli as a client-side application can be deployed on a single-page or through a browser extension, which can consume and interact with Linked Data (or otherwise) anywhere on the Web. We consider an HTML document with CSS and JavaScript as the default UI of a document. Through the separation of the layers, other UIs can work injunction with the same HTML. This approach is independent from specific server-side software, proprietary APIs or the requirement to have an account.

On the other hand, if desired and available, users can participate using their own profiles (WebIDs) located anywhere on the Web, and get to store and make their annotations in their own personal storage, as well as assign access controls to documents. Similarly, a decentralised communications protocol, Linked Data Notifications (LDN) – W3C Proposed Recommendation – is used get past the limits of centralisation by enabling communication to happen across independent servers and applications. Figure 2 depicts relations between the kinds of entities which underlay dokieli’s architecture, where nodes are under different domains and authority.

Entities and relations within dokieli’s architecture
Entities and relations within dokieli’s architecture

dokieli can self-replicate, in that the reader of a dokieli document can spawn an instance — either a copy or a brand new empty document — into their own storage space at the click of a button.

Creating documents

Documents use HTML5 Polyglot Markup to ensure that when served as (X)HTML respectively, they can be processed as either HTML or XML, which is useful in XML ecosystems and toolchains. Semantics is embedded directly into human-visible prose using RDFa. The machine-readable data is thus kept in context, reusing the article’s text as literal object values, and avoiding data duplication or data ‘islands’, which can occur when other RDF serialisations are included within HTML <script> elements.

The appearance of documents is determined with CSS3. Different stylesheets can be applied to the same HTML structure so that a document can be presented flexibly, in the most appropriate way for a particular circumstance. Stylesheets can be switched from either dokieli’s menu or through Web browser with native controls, for example from a two-column layout required by an academic journal to a design in keeping with the author’s blog.

When JavaScript is enabled, dokieli provides a rich editing interface which includes visual and structural formatting of text as well as embedding machine-readable semantics, media, dynamic citations, and inclusion of statistical charts from live endpoints. An external personal data store, or even internet connection, are not needed at this stage as modifications to a document made in the browser this way can be persisted to a local filesystem using the dokieli menu export function (or the browser’s save as), or through brower’s native local storage.

Consuming documents

Documents can be retrieved from Web servers with a single HTTP GET request, by either a browser (for human-readable HTML) or script (machine-readable RDF). Through the use of progressive enhancement, document contents are available in text-only browsers, and further functionality of CSS and JavaScript are layered on according to the user agent’s abilities.

dokieli’s approach to marking human-visible content in RDFa makes it possible to further decouple itself, the application that produced the data, from the data itself, facilitating potential reuse of the data by other applications. A dokieli document can be parsed into a graph, and users can use any other RDF-aware application with the data that was generated by dokieli. Thereby, dokieli can effectively remove itself as a dependency when it comes to data consumption and reuse.

dokieli is able to authenticate users via WebID-TLS if they provide a WebID. This enables further functionality: the user can use dokieli to access protected resources and write to non-public data storage containers if their WebID is authorised to do so. For authenticated users leaving annotations on other documents dokieli fetches their name and display picture from their online profile if available, to display alongside their comment.

dokieli uses the following vocabularies as standard: schema.org to describe the general-purpose relations about the document as well as profiles, the SPAR Ontologies for scholarly articles and referencing, Web Annotations for annotations (with motivations e.g., replying, bookmarking, commenting, assessments), LDP for personal storage management, WAC/ACL for access control, LDN Inbox and ActivityStreams for social notifications, Creative Commons for rights and licensing, PROV Ontology for provenance (e.g., for derivations with save as), and the RDF Data Cube vocabulary to consume multi-dimensional data from SPARQL endpoints. Authors can optionally include other vocabularies to mark up specific concepts through dokieli’s UI.

Publishing documents

Documents can of course be published on ordinary Web servers, as Web pages. The next layer of enhancement is for authors who wish to edit documents on a Web server directly rather than locally; they can make use of dokieli’s write operations. This uses JavaScript, and moves the burden of processing user input from servers (i.e., offering HTML forms and processing of the form submission) to the client where the payload uses the RDF language. Data shape verification is an orthogonal process and can be addressed through servers processing the payload based on the constraints advertised for the resource (e.g., via ldp:constrainedBy). In essence, dokieli behaves as a smart client.

dokieli implements the Linked Data Platform (LDP) protocol for creating, updating and deleting documents. As such, personal data stores or servers which implement the server portion of the protocol can be used to store and edit dokieli documents directly. An HTTP PUT request to a URL is used to create a new document, to clone an existing one with save as, to save changes, and so that readers of a document can create their own document in reply. All of these operations are available through the dokieli menu.

Social interactions and annotations

Interactions with a document with respect to Web Annotations include the following motivations: replying, describing (e.g., footnotes), commenting, assessing (e.g., approvals, disapprovals, and request for specificity used towards peer-reviews), bookmarking, and tagging. They can be about the document as a whole, or of a selection of text. In both cases, the dokieli menu presents an input to the annotator, along with a choice of license which they can assign to their contributions. dokieli then adds semantic markup based on all of the input, and then sends the data off for appropriate storage so it can be retrieved and re-displayed on future document loads. These write operation requests are made with HTTP POST.

Document authors can point to a storage service (using the Web Annotations annotationService property) which lets readers without their own personal storage comment nonetheless. Readers who have a preferred storage location against which they can authenticate are able to direct dokieli to store their input there instead (or in addition). dokieli allows users to remove their annotations, where an HTTP DELETE request is made to the server. In this way, dokieli does not impose a centralised mechanism for social interactions, and allows users to effectively ‘own’ their comments, annotations, and reviews, in their own space.

Notifications

When readers interact with a document, the author is notified by means of the Linked Data Notifications (LDN) protocol. A notification, composed of the data from the interaction or annotation, is sent to the inbox advertised by the document or arbitrary parts, thereof. This inbox may be on the same server as the document itself, or may be elsewhere. dokieli subsequently reads this inbox to display interactions and annotations on the document.

Authors of documents who have write-access to its inbox can remove notifications for interactions they find inappropriate, without needing to worry about their inability to access the original source of the interaction. Similarly, if they do not have access to the inbox, they may assign an alternative inbox for the article (or its parts). Conversely, annotators do not lose control or authority over their contributions, even if the object of their interaction wishes to disassociate itself. Each contributor retains their own respective rights over the entities they create on the Web.

Implementation

dokieli is open source: https://github.com/linkeddata/dokieli and available to try at https://dokie.li/ (or at any instance on the Web, see Adoption).

Components

dokieli’s components include data (for structure and semantics), stylesheets (for presentation) and scripts (for interaction). All data (articles, annotations, notifications) are represented in HTML and RDF with vocabularies expressing the underlying content, resources are self-descriptive to increase their reuse, and contain relations to related external resources to foster follow-your-nose type of exploration.

Several stylesheets provide alternative views for consumption (e.g., stylesheets for different media: screens, print, slideshow). dokieli’s JavaScript includes: a library for editing (MediumEditor) in its authoring environment; features to fetch and display statistical data from SPARQL endpoints (Sparqlines); retrieval of profile information, as well as means to sign in with WebID Authentication over TLS; functionality for write-operations, which includes checking authorisation against access-control level settings on the server with the authenticated user’s WebID and personal certificate; creation and consumption of Web Annotations and Linked Data Notifications; and fetching information from remote articles when adding a citation.

The scope of dokieli includes documents and the interactions around them. The creation and maintenance of user profiles, personal storage spaces, and access control rules are not managed by dokieli; since they are all standard mechanisms, users are expected to be able to accomplish this using other specialised applications.

Deployment

dokieli employs two complementary deployment approaches: single-page application and Web browser extension.

dokieli’s presentational and behavioural code layers can be included in Web pages in order to trigger them as active single-page applications. It is a smart client that allows different kinds of articles e.g., academic, blog posts, news, to be authored and annotated from within Web browsers, without necessarily having them deployed from a server, i.e., it can be used offline or on localhost. dokieli internally handles its content and well-formed structural and semantic representation based on user’s interactivity. Articles, profiles and their contact information, notifications, annotations with different motivations, for instance, can be read and written ubiquitously to any Web space with supporting HTTP methods and access control mechanisms.

The Web browser extension is a thin wrapper around dokieli’s core code in order to embed itself in any HTML-based Web page on the Web. It inherits all of the features of a single-page application. While HTML based documents on the Web vary in their quality, dokieli’s write operations generate well-formed HTML+RDFa. One of the primary utilities for the extension is to have a consistent interface for annotating (comment, bookmark, like) any text selection on a Web page, as well as sharing parts of pages with ones contacts via notifications, without having a service dependency or being limited by the Web page’s UI.

Interactions

Screencasts for the following use-cases showcase dokieli’s social features where users interact by creating and sharing information, available at https://dokie.li/

Video of dokieli Web Annotation

Annotations: A core feature to facilitate collaboration is the possibility to annotate arbitrary parts of a Web document (e.g., Digital Publishing Annotation Use Cases). Users can select an entity or a span of text of interest, a context menu is presented to input their annotations along with the choice to select a license for their contribution. If the user is signed-in with their WebID, and provided they have a personal storage space, dokieli discovers this through their online profile and saves the annotations to that location. Once the annotation is submitted by the user, dokieli proceeds with three operations: 1) the annotation is requested to be saved at the user’s personal storage, and if it is access controlled, the user will be prompted to authenticate themselves against that server, before the annotation is saved and is assigned its own URL, 2) if the article or any identifiable statement or segment has its own inbox, dokieli sends a notification to the inbox indicating that an annotation was made and where its retrievable location is, with accompanying metadata like who created it, date, its license etc., 3) the annotation is fetched from its canonical location, and integrated into the article e.g., in marginalia. If the article has a reference to a public annotation service (a writeable space adhering to Web Annotation Protocol), the user has the option to send a copy of the annotation there as well. In cases where the user does not want to have the canonical copy of the annotation on their server, or if a user does not have write access to a storage, they can still use this option to engage with the article.

Video of dokieli Share

Social Sharing: A key aspect of the Social Web is sharing with others. After (optionally) authenticating with a WebID, dokieli documents can be shared with contacts, which are discovered from the user’s WebID profile. Contacts whose profiles advertise an LDN Inbox will receive a notification of the share. The notification contains Activity Streams 2.0 vocabulary terms, and recipients can use any LDN-compatible application to view the notification, without needing to have ever used dokieli before.

Video of semantic inline citations

Inline Citations: Rich semantic links can also be established between dokieli documents themselves. The author selects a text fragment and inserts the URL of the document to be linked to as well as a semantic link type (e.g. agrees with, confirms, cites as evidence) from the CiTO and schema.org ontologies. dokieli automatically retrieves metadata (e.g. title, authors) from the linked document and adds a proper scientific endnote reference. If the cited article advertises its won LDN inbox, a notification of the citation is sent as well, thus allowing bi-directional linking.

Video of Sparqlines interaction in dokieli

Statistical Data and Diagrams: Embedding dynamically generated diagrams and charts is possible: after selecting text, the dokieli context menu offers results of a search across registered SPARQL endpoints for the keywords in the selected text, and presents a list of available data series to visualise. The result is an inline sparkline diagram.

Adoption

The W3C Working Group Note Embedding Web Annotations in HTML includes examples from dokieli’s use of the Web Annotation data Model and Vocabulary with motivations for example for Lightweight, decentralised Annotation Tools. The W3C Linked Data Notifications specification uses dokieli’s HTML+RDFa template, and the Editor’s Draft showcase dokieli as a consumer of LDN and Web Annotations. The LDN test suite also uses dokieli’s templates and stylesheets.

The academic workshop SemStats series use dokieli in its Website templates, including the call for contributions. CEUR-WS.org, an Online Proceedings for Scientific Conferences and Workshops offers the tooling ceur-make to help organisers generate proceedings using dokieli’s HTML+RDFa template, e.g., SemStats 2016. We list a community (of academics) who self-publish their articles and thesis using dokieli with different stylesheets and derived scripts under its examples in the wild. The conference series: WWW (e.g., LDOW and WOW workshops), ISWC, and ESWC propose dokieli as one tooling in which authors can use to make their contributions to the calls with.

The Linked Research website uses dokieli in its templates on the site as well as workshop proposals and call for contributions. csarven.ca uses dokieli in full, where some articles (like this article) offer pointers to a public annotation service in which users may wish to use for their annotations. Articles also dynamically embed annotations from personal storage spaces.

Conclusions

The Web’s design stands out because of its absence of centralised control, both for technical reasons of scalability and resilience as well as a societal need for freedom of expression. A challenge in such large-scale decentralised networks is how related publications can be semantically interlinked, even if they are authored and published by different parties. Centralising their publications is practiced by the majority of authoring networks today, demanding authors to give up some or all of their control in exchange for technical simplicity.

dokieli shows it is possible to build a social machine wherein people interact with each other without the need of centralised coordination. Users can choose storage space for their content independently of the applications with which they edit and view that content. Documents are connected statically through links and dynamically through Linked Data Notifications. This is a proof for the viability of a decentralised authoring and annotation environment built with Web standards.

On the other hand, dokieli’s use of standards shows that dokieli itself is only one means to an end: once the document has been created, it lives on as an independent Web citizen. The social machine consists of people and documents, connected by Web standards, with dokieli acting as just one possible catalyst. Different Web applications can incorporate any of dokieli’s functions and implement the principles to varying extents. Since the data is loosely coupled to the application, we avoid the walled garden problem of many current social platforms today.

A couple of important socio-technical challenges remain. Resources might want to indicate in a granular way which actions they support or encourage, such as liking, bookmarking, or sharing, and perhaps conditions about which notifications should be sent when any of these events take place. In order to encourage positive behaviour, we might want ways to provide moderation, and solutions to prevent harassment and abuse. Closely related is the issue of identity, pseudonymity and anonymity, and its relation with trust and verification. While there is likely no final solution to these issues in an open ecosystem, it is worthwhile exploring within dokieli or other tools.

Future work can examine how additional features can be realised on top of existing Web standards, or where more development is required. Real-time collaborative editing is often realised with centralised communication (even though some peer to peer alternatives exist). Services like top-down annotations or automated entity marking can improve the discoverability of a publication, yet the question of how to offer these without being tied to certain servers needs to be still solved.

We invite you to try dokieli yourself right now! Annotate this article or spawn a new or a copy that you can edit yourself.

Acknowledgements

Special thanks to our colleagues at MIT/W3C; Nicola Greco, Dmitri Zagidulin, Andrei Sambra, Sandro Hawke, Amy van der Hiel as well as Henry Story and Melvin Carvalho for their contributions. We are also thankful to collaborate with colleagues at QCRI. This research was supported in part by Qatar Computing Research Institute, HBKU through the Crosscloud project from 2015-10 to 2016-09. Kingsley Idehen and OpenLink Software for their support and contributions to the browser extension. Last but not least, the contributors to the dokieli code, issues, and discussion.

References

  1. Otto, B., Auer, S., et al: Industrial Data Space, Technical Report, 2016, https://www.researchgate.net/publication/299536747_Industrial_Data_Space_Digital_Souvereignity_Over_Data
  2. Berners-Lee, T.: Socially-aware Cloud Storage, 2009, https://www.w3.org/DesignIssues/CloudStorage.html
  3. Champeon, S.: Progressive Enhancement and the Future of Web Design, Webmonkey, 2003, http://hesketh.com/publications/progressive_enhancement_and_the_future_of_web_design.html
  4. Koivunen, M-R., Eric Miller, E.: W3C Semantic Web Activity, 2001, https://www.w3.org/2001/12/semweb-fin/w3csw
  5. Golbeck, J.: Weaving a Web of Trust, Science Magazine, Vol. 321, 2008, https://pdfs.semanticscholar.org/5e37/daf945094ea9c9df127e06b05282e03e39bd.pdf
  6. Richardson, M., Agrawal, R., Domingos, P.: Trust Management for the Semantic Web, ISWC 2003, https://link.springer.com/content/pdf/10.1007%2F978-3-540-39718-2_23.pdf
  7. Jennifer Golbeck, J.: Parsia, B., Hendler, J.: Trust Networks on the Semantic Web, Volume 2782 of the book series LNCS, 2003, http://sir-lab.usc.edu/cs586/20151readings/w13-1.pdf
  8. Khalili, A., Auer, S.: User interfaces for semantic authoring of textual content: A systematic literature review, Web Semantics, Volume 22, pages 1–18 (2013), http://svn.aksw.org/papers/2011/JWS_SemanticContentAuthoring/public.pdf
  9. Capadisli, S., Guy, A., Lange, C., Auer, S., Deiu, A., Berners-Lee, T.: Linked Data Notifications: a resource-centric communication protocol, ESWC Linked Data, 2017, http://csarven.ca/linked-data-notifications
  10. Capadisli, S., Guy, A.: Linked Data Notifications, W3C Proposed Recommendation, 2017, https://www.w3.org/TR/ldn/
  11. Graff, E., Silli, L.: Polyglot Markup: A robust profile of the HTML5 vocabulary, W3C Working Group Note, 2015, https://www.w3.org/TR/html-polyglot/
  12. Capadisli, S.: Sparqlines: SPARQL to Sparkline, ISWC SemStats, 2016, http://csarven.ca/sparqlines-sparql-to-sparkline
  13. Story, H., Corlosquet, S., Sambra, A.: WebID Authentication over TLS, W3C Editor’s Draft, 2014, https://www.w3.org/2005/Incubator/webid/spec/tls/
  14. Sanderson, R., Ciccarese, P., Young, B.: Web Annotation Data Model, W3C Recommendation, 2017, https://www.w3.org/TR/annotation-model/
  15. Sanderson, R.: Digital Publishing Annotation Use Cases, W3C Interest Group Note, 2014 https://www.w3.org/TR/dpub-annotation-uc/
  16. Sanderson, R.: Web Annotation Protocol, W3C Recommendation, 2017, https://www.w3.org/TR/annotation-protocol/
  17. Cole, T., Capadisli, S., Young, B., Herman, I.: Embedding Web Annotations in HTML, W3C Working Group Note, 2017, https://www.w3.org/TR/annotation-html/
  18. Sanderson, R., Ciccarese, P., Young, B.: Web Annotation Vocabulary, W3C Recommendation, 2017, https://www.w3.org/TR/annotation-vocab/

Interactions

6 interactions

Sarven Capadisli’s photoSarven Capadisli replied on

Graph view of the Decentralised Authoring, Annotations and Notifications for a Read-Write-Web with dokieli article
Graph view of the article Decentralised Authoring, Annotations and Notifications for a Read-Write-Web with dokieli generated using Gruff.

This image will be updated from time to time to include the changes, e.g., social interactions, on this resource.

Ali Khalili’s photoAli Khalili replied on

is there any plan to also address 'user adaptation' in dokieli? in particular I am thinking about multilingual content as well as other types of customization/personalization based on the context of user who reads a dokieli document.

1 interaction

Sarven Capadisli’s photoSarven Capadisli replied on

There are some issues in the dokieli repository (see along the lines of user/application "preferences", "configurations", "settings", if I remember correct)..

There is no working solution at the moment. The idea is that users come to use dokieli with their preferences (e.g., declared somewhere in or near their profile), and dokieli will adapt to it.

I've created https://github.com/linkeddata/dokieli/issues/172 to track this feature better. Thanks for raising this.

Anonymous Reviewer replied on

This paper presents dokieli, a decentralized web-based authoring service.

The paper is very well-written and a pleasure to read. The service presented here is nice and useful, it defines a new way of publishing and interacting with content on the Web. There are many on-line resources that can be triggered to understand more about this service; indeed, the reader can access the github repository to gather more information and also the dokieli Website is a useful resource. Nevertheless, the paper itself does not provide many technical details and remains quite at a high level.

The contribution is well-suited for the conference and it should generate interesting discussions at the conference.

Anonymous Reviewer replied on

The authors present dokieli, a decentralised, browser-based authoring and annotation platform to create “living” documents that are interoperable and independent of dokieli. Dokieli follows standards and best practices, mainly HTML+RDFa for, Linked Data Platform for personal data storage, and Linked Data Notifications for updates. The presented platform has real potential in the context of academic/journalistic writings. The paper presents good arguments around the use of such a decentralised system to offer authors ownership and sovereignty over their data. The implementation is also sound. However, the paper lacks rigour from the perspective of comparing work against existing approaches. The authors do compare and contrast their system with other offerings; however, the research work and techniques used by other is not critically analysed (for example, there are almost no references in the main text. However, there is an excellent list of references at the end, was this intentional?).

Anonymous Reviewer replied on

The authors illustrate a decentralized framework for web-based authoring and annotation service.

The paper is really well-written, organized and motivated.

The main weakness is the nature of the proposal more fitting a demonstration context rather than an application/industrial scenario.

However the contribution will leverage a fruitful discussion during the conference.

Leave a comment

* marked fields are required.