In the last decades, we have experienced a substantial increase in the volume of published scientific articles and related research objects (e.g., data sets, software packages); a trend that is expected to continue. This opens up fundamental challenges including generating large-scale machine-readable representations of scientific knowledge, making scholarly data discoverable and accessible, and designing reliable, comprehensive, and equitable metrics to assess scientific impact. The main objective of Sci-K is to provide a forum for researchers and practitioners from different disciplines to present, educate, and guide research related to scientific knowledge. Specifically, we foresee three main themes that cover the most important challenges in this field: representation, discoverability, and assessment.
There is an urge for flexible, context-sensitive, fine-grained, and machine-actionable representations of scholarly knowledge that at the same time are structured, interlinked, and semantically rich. Scientific Knowledge Graphs (SKGs) are becoming ... increasingly popular as infrastructures for representing scholarly knowledge. They are large networks describing the actors (e.g., authors, organisations), documents (e.g., publications, patents), ancillary material (e.g., research data, software), contextual information (e.g., projects, fundings), and research knowledge (e.g., research topics, tasks, technologies) in this space as well as their reciprocal relationships. These resources provide substantial benefits to researchers, companies, and policymakers by powering several data-driven services for navigating, analysing, and making sense of research dynamics. Some SKGs examples include Microsoft Academic Graph (MAG), AMiner, Open Academic Graph, ScholarlyData.org, Semantic Scholar, PID Graph, Open Research Knowledge Graph, OpenCitations, and the OpenAIRE research graph. Regarding this aspect, the main challenge is related to the design of ontologies able to conceptualise scholarly knowledge, model its representation, and enable its exchange across different SKGs.
It is important that scholarly information is easily findable, discoverable, and visible, so that it can be mined and organised within SKGs. To this end, we need discovery tools able to crawl the Web and identify scholarly data, whether on a publisher’s ...website or elsewhere – institutional repositories, pre-print servers, open-access repositories, and others. This is a particularly challenging endeavour because it requires a deep understanding of both the scholarly communication landscape and the needs of a variety of stakeholders: researchers, publishers, funders, and the general public. Typically, in addition to the journal landing page, a paper's open version, pieces of software as well as data sets are often shared via alternative channels that are disconnected from the journal page. Currently, this is a major obstacle that the community of practitioners is facing for creating comprehensive knowledge graphs. In brief, the challenges are related to the discovery and extraction of entities and concepts, integration of information from heterogeneous sources, identification of duplicates, finding connections between entities, and identifying conceptual inconsistencies.
Due to the continuous growth in the volume of research output, rigorous approaches for the assessment of research impact are now more valuable than ever. In this context, we urge reliable, comprehensive, and equitable metrics and indicators of the scientific impact ...and merit of publications, data sets, research institutions, individual researchers, and other relevant entities. Scientific impact refers to the attention a research work receives inside its respective and related disciplines, the social/mass media, etc. Scientific merit, on the other hand, relates to the quality aspects of a work, such as its novelty, reproducibility, FAIR-ness, and readability. Nowadays, due to the growing popularity of Open Science initiatives, a large number of useful science-related data sets have been made openly available, paving the way for the synthesis of more sophisticated indicators of scientific impact and merit and, consequently, more rigorous research assessment. For instance, in recent years, we observed a surge of large SKGs, which providevery rich and relatively clean sources of information about academics, their publications and relevant metadata. These SKGs can be used for the development of novel research assessment approaches.
Sci-K is calling for high-quality submissions around the three main themes of research related to
scientific knowledge: representation, discoverability, and assessment.
Topics of interest include, but are not limited to:
February 6th, 2023 (23:59, AoE timezone)
March 6th, 2023
March 20th, 2023 (hard deadline)
between April 30th and May 4th, 2023 (tbc)
Submissions are welcome in the following categories:
The workshop calls for full research papers (up to 8 pages + 2 pages of appendices + 2 pages of
references), describing original work on the listed topics, and short papers (up to 4 pages + 2 pages of
appendices + 2 pages of references), on early research results, new results on previously published
works, demos, and projects. In accordance with Open Science principles, research papers may also
be in the form of data papers and software papers (short or long papers). The former
present the motivation and methodology behind the creation of data sets that are of value to the
community; e.g., annotated corpora, benchmark collections, training sets. The latter present software
functionality, its value for the community, and its application to a non-specialist reader. To enable
reproducibility and peer-review, authors will be requested to share the DOIs of the data sets and the
software products described in the articles and thoroughly describe their construction and reuse.
The workshop will also call for vision/position papers (up to 4 pages + 2 pages of appendices + 2 pages of references) providing insights towards new or emerging areas, innovative or risky approaches, or emerging applications that will require extensions to the state of the art. These do not have to include results already, but should carefully elaborate about the motivation and the ongoing challenges of the described area.
Submissions must adhere to the ACM template and format. Please remember to add Concepts and Keywords. Please use the template in traditional double-column format to prepare your submissions. For example, word users may use Word Interim Template, and LaTeX users may use the “sample-sigconf” template. Overleaf users may want to use the ACM proceedings template available in Overleaf.
Submissions for review must be in PDF format. They must be self-contained and written in English. Submissions that do not follow these guidelines, or do not view or print properly, will be rejected without review.
The proceedings of the workshops will be published jointly with The Web Conference 2023 proceedings.
The submission platform for Sci-K 2023 is EasyChair. To submit, please head to https://easychair.org/conferences/?conf=thewebconf2023iwpd and among the several workshops (tracks) select [Workshop] 3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023), which is the 9th from the top.
The 2023 ACM Web Conference is an in-person conference with virtual components. All speakers, presenters, organizers participating in any way at The Web Conference are expected to attend the conference in person. For exceptional reasons, if you are not able to attend in person to present, you may assign a proxy who must be in person.
This information is also being clarified on the homepage of the conference. To support the virtual component, ceremonies and keynotes will be live streamed, while pre-recorded videos of the talks will be made available through the Whova platform, that will also be used for interaction with all conference attendees.
To this end, all Sci-K papers that will be presented at the workshop, must have a short video such that virtual attendees can access them via Whova. Information about how to practically upload these videos and when they should be available will follow later. Stay Tuned.
Tentative. It will be updated after the review process.
Co-chairs for Sci-K 2023 (alphabetically)