A Linked-Data-driven and Semantically-enabled Journal Portal for Scientometrics

As you know the Semantic Web journal follows a unique open and transparent process during which each submitted manuscript is available online together with the full history of its successive decision statuses, assigned editors, solicited and voluntary reviewers, their full text reviews, and in many cases also the authors' response letters. Combined with a highly-customized, Drupal-based journal management system, this provides the journal with semantically rich manuscript time lines and networked data about authors, reviewers, and editors. These data are now exposed using a SPARQL endpoint, an extended Bibo ontology, and a modular Linked Data portal that provides interactive scientometrics based on established and new analysis methods.

Today we would like to make the first version of this portal public. Consequently,all data collected by the journal is now available as Linked Data and will hopefully be usefully beyond the direct Semantic Web community. Data is extracted on-the-fly form our Drupal-based journal management system, annotated using our extended ontologies, interlinked, cached, and made available for your analysis. Consider the following example: Assume you have to identify reviewers for a manuscript submitted to your journal, conference, or workshop. Using our data you can search for researchers that authored a paper on, say, semantic search, have not reviewed for you before, and at the same time have not collaborated with the authors of the paper at hand before. All this can now be done via the SWJ endpoint (well, as long as the required data is available, i.e., those researchers have published, edited, or reviewed for SWJ before).

You may now argue that SPARQL is not the most intuitive way to explore data and visualize it to discover interesting patterns. Thus, we provide a growing set of about 20 interactive (scientometrics) modules that allow you to explore our data. We also link out to other data sources such as Semantic Web Dog Food, Microsoft Academic Search, DBLP, our Piwik instalation, and IOS Press. Below you see a screen print of the portal. You can open multiple modules, rearrange them, interact with the data, and so forth. It goes without saying that the portal is semantics-enabled, Linked Data-driven, and makes use of reasoning.

You will see that currently we expose a vast majority of our data and link it to other sources but that some specific data is missing. This is 3 reasons. First, we can only make data about reviewers and reviews available since 2013 as the data was maintained in another journal management system before. We are also currently not sharing versioned PDF files. Finally, we use salted MD5 hashes to uniquely refer to anonymous reviewers while protecting their anonymity.

We hope that you will find the data and the portal useful and we will keep adding new features, more extensions to the used ontologies, and more Linked Data (and links) in the near future. You can access the portal here.

For all other details, examples, access to the SPARQL endpoint, Pubby, and so forth, visit our talk on Friday at ISWC 2013 and check out our paper entitled A Linked-Data-driven and Semantically-enabled Journal Portal for Scientometrics
. Finally, thanks to IOS Press for making all this possible!

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