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Related papers: Opening Knowledge Gaps Drives Scientific Progress

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The combination of diverse, pre-existing knowledge is a common explanation for scientific breakthroughs. However, a paradox exists: while scientific output and the potential for such recombination have grown exponentially, the rate of…

Digital Libraries · Computer Science 2025-11-18 Linzhuo Li , Yiling Lin , Lingfei Wu

Scientific progress has long been understood as recombinant, with breakthroughs arising when existing ideas are joined in new ways. Empirical work in this tradition has focused on the inputs to discovery, asking whether a paper draws…

Social and Information Networks · Computer Science 2026-04-15 Hongbo Fang , James Evans

The growth of science and technology is a recombinative process, wherein new discoveries and inventions are built from prior knowledge. Yet relatively little is known about the manner in which scientific and technological knowledge develop…

Social and Information Networks · Computer Science 2020-11-25 Thomas Gebhart , Russell J. Funk

The past few centuries have witnessed a dramatic growth in scientific and technological knowledge. However, the nature of that growth - whether exponential or otherwise - remains controversial, perhaps partly due to the lack of quantitative…

Physics and Society · Physics 2024-09-16 Huquan Kang , Luoyi Fu , Russell J. Funk , Xinbing Wang , Jiaxin Ding , Shiyu Liang , Jianghao Wang , Lei Zhou , Chenghu Zhou

The continuous growth of scientific literature brings innovations and, at the same time, raises new challenges. One of them is related to the fact that its analysis has become difficult due to the high volume of published papers for which…

Computation and Language · Computer Science 2020-11-06 Danilo Dessì , Francesco Osborne , Diego Reforgiato Recupero , Davide Buscaldi , Enrico Motta

Over the last four decades, the way knowledge is created in academia has transformed dramatically: research teams have grown larger, scholars draw from ever-wider pools of prior work, and the most influential discoveries increasingly emerge…

Digital Libraries · Computer Science 2025-11-27 Sarah J. James , Marcus A. Rodriguez , David P. Miller

Leveraging generative Artificial Intelligence (AI), we have transformed a dataset comprising 1,000 scientific papers into an ontological knowledge graph. Through an in-depth structural analysis, we have calculated node degrees, identified…

Machine Learning · Computer Science 2024-06-12 Markus J. Buehler

Researchers usually come up with new ideas only after thoroughly comprehending vast quantities of literature. The difficulty of this procedure is exacerbated by the fact that the number of academic publications is growing exponentially. In…

Computation and Language · Computer Science 2023-06-06 Yi Xu , Shuqian Sheng , Bo Xue , Luoyi Fu , Xinbing Wang , Chenghu Zhou

New ideas are often thought to arise from recombining existing knowledge. Yet despite rapid publication growth - and expanding opportunities for recombination - scientific breakthroughs remain rare. This gap between productivity and…

Digital Libraries · Computer Science 2025-12-04 Linzhuo Li , Yiling Lin , Lingfei Wu

Philosophers of science have long postulated how collective scientific knowledge grows. Empirical validation has been challenging due to limitations in collecting and systematizing large historical records. Here, we capitalize on the…

Digital Libraries · Computer Science 2020-12-14 Harang Ju , Dale Zhou , Ann S. Blevins , David M. Lydon-Staley , Judith Kaplan , Julio R. Tuma , Danielle S. Bassett

The advancement of science is inherently dependent on the recombination of existing knowledge, and innovative research typically relies on the atypical recombination of established knoweldge bases. This study introduces a Knowledge…

Digital Libraries · Computer Science 2025-12-23 Liang Guoqiang , Sun Jian , Lin Gege , Zhang Shuo

Science is built on the scholarly consensus that shifts with time. This raises the question of how new and revolutionary ideas are evaluated and become accepted into the canon of science. Using two recently proposed metrics, we identify…

Digital Libraries · Computer Science 2021-11-23 Yiling Lin , James Allen Evans , Lingfei Wu

Tables in scientific papers contain a wealth of valuable knowledge for the scientific enterprise. To help the many of us who frequently consult this type of knowledge, we present Tab2Know, a new end-to-end system to build a Knowledge Base…

Artificial Intelligence · Computer Science 2021-07-29 Benno Kruit , Hongyu He , Jacopo Urbani

The development of inventions is theorized as a process of searching and recombining existing knowledge components. Previous studies under this theory have examined myriad characteristics of recombined knowledge and their performance…

Digital Libraries · Computer Science 2024-11-15 Qing Ke , Ziyou Teng , Chao Min

We propose an explanatory and computational theory of transformative discoveries in science. The theory is derived from a recurring theme found in a diverse range of scientific change, scientific discovery, and knowledge diffusion theories…

General Literature · Computer Science 2010-02-09 Chaomei Chen , Yue Chen , Mark Horowitz , Haiyan Hou , Zeyuan Liu , Don Pellegrino

Research publications are the primary vehicle for sharing scientific progress in the form of new discoveries, methods, techniques, and insights. Unfortunately, the lack of a large-scale, comprehensive, and easy-to-use resource capturing the…

Artificial Intelligence · Computer Science 2023-05-22 Kian Ahrabian , Xinwei Du , Richard Delwin Myloth , Arun Baalaaji Sankar Ananthan , Jay Pujara

To enable efficient exploration of Web-scale scientific knowledge, it is necessary to organize scientific publications into a hierarchical concept structure. In this work, we present a large-scale system to (1) identify hundreds of…

Computation and Language · Computer Science 2018-06-01 Zhihong Shen , Hao Ma , Kuansan Wang

The scientific literature is a rich source of information for data mining with conceptual knowledge graphs; the open science movement has enriched this literature with complementary source code that implements scientific models. To exploit…

Machine Learning · Computer Science 2019-08-27 Kun Cao , James Fairbanks

The exponential growth in scientific publications poses a severe challenge for human researchers. It forces attention to more narrow sub-fields, which makes it challenging to discover new impactful research ideas and collaborations outside…

Digital Libraries · Computer Science 2025-06-12 Xuemei Gu , Mario Krenn

Knowledge is a network of interconnected concepts. Yet, precisely how the topological structure of knowledge constrains its acquisition remains unknown, hampering the development of learning enhancement strategies. Here we study the…

Computation and Language · Computer Science 2021-03-17 Nicolas H. Christianson , Ann Sizemore Blevins , Danielle S. Bassett
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