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Conference on Automated Knowledge Base Construction (AKBC)

Submission deadline: 7/10/2022

Conference dates: 11/3/2022 - 11/5/2022

Research H-index
11

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 313 38 39 11

Call for Papers

Topics of interest include, but are not limited to:

Natural language processing, information extraction, extraction of entities, relations, and events, semantic parsing, coreference, machine reading, entailment, web mining, multilingual NLP.
Information integration, entity resolution, schema & ontology alignment, text and structure alignment, federated KBs, Semantic Web.
Machine learning, supervised, unsupervised, lightly-supervised and distantly-supervised learning, deep learning, symbolic learning, multimodal learning, embeddings of knowledge.
Search, question-answering, reasoning, knowledge base completion, queries on mixtures of structured and unstructured data; querying under uncertainty.
Multi-modal knowledge bases: structured data, text, images, video, audio.
Human-computer interaction, crowdsourcing, interactive learning.
Fairness, accountability, transparency, misinformation, multiple viewpoints, uncertainty.
Databases, probabilistic databases, distributed databases, database cleaning, scalable computation, distributed computation, dynamic data, online adaptation of knowledge.
Systems, languages and toolkits, demonstrations of existing knowledge bases.
Evaluation of AKBC, datasets, evaluation methodology.

Overview

This authoritative ranking presents a comprehensive evaluation of scientific conferences in the field of Computer Science. Developed by Research.com—one of the leading platforms for science research across all major fields and a trusted provider of scientific data since 2014—the ranking underscores Research.com’s commitment to delivering accurate and insightful analyses of global scientific contributions.

The conferences’ positions in the ranking are determined by a unique bibliometric score developed by Research.com. This score is meticulously computed using the estimated h-index as well as the number of leading scientists who have participated in each conference during the preceding three years. Impact Score values for this ranking were most recently compiled on 2024-11-27, ensuring that the results reflect the latest developments and trends in the discipline.

The process behind this extensive ranking entailed the rigorous examination of more than 2,742 conferences, each selected through detailed scrutiny. Over 148,739 scientific documents published in the last three years by a distinguished cohort of 13,184 leading and well-respected computer science experts formed the analytical foundation of this ranking. This robust methodology ensures a high degree of reliability and reproducibility in the final results, reflecting the profound depth of research and analysis performed by our experts.

For a comprehensive explanation of the methodology and the precise metrics used in the computation of ranking scores, please consult our Methodology Page.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing at Automated Knowledge Base Construction (based on the number of publications) are:

  • Danushka Bollegala (3 papers) published 3 papers at the last edition,
  • Tal Friedman (2 papers) published 2 papers at the last edition,
  • Alberto García-Durán (2 papers) published 2 papers at the last edition,
  • Guy Van den Broeck (2 papers) published 2 papers at the last edition,
  • Roberto González-Sánchez (1 papers) published 1 paper at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing at Automated Knowledge Base Construction (based on the number of publications) are:

  • University of Liverpool (3 papers) published 3 papers at the last edition,
  • IBM (2 papers) published 2 papers at the last edition,
  • University of Massachusetts Amherst (2 papers) published 2 papers at the last edition,
  • Oracle Corporation (2 papers) published 2 papers at the last edition,
  • University of California, Los Angeles (2 papers) published 2 papers at the last edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2019 edition, 4.76% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 55.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 40.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 5.00% of all publications and 0.00% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

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