Literature-based Discovery

Literature-based Discovery PDF Author: Peter Bruza
Publisher: Springer Science & Business Media
ISBN: 3540686908
Category : Computers
Languages : en
Pages : 200

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Book Description
This is the first coherent book on literature-based discovery (LBD). LBD is an inherently multi-disciplinary enterprise. The aim of this volume is to plant a flag in the ground and inspire new researchers to the LBD challenge.

Literature-based Discovery

Literature-based Discovery PDF Author: Peter Bruza
Publisher: Springer Science & Business Media
ISBN: 3540686908
Category : Computers
Languages : en
Pages : 200

Get Book Here

Book Description
This is the first coherent book on literature-based discovery (LBD). LBD is an inherently multi-disciplinary enterprise. The aim of this volume is to plant a flag in the ground and inspire new researchers to the LBD challenge.

Literature-based Discovery

Literature-based Discovery PDF Author: Peter Bruza
Publisher: Springer
ISBN: 9783540864400
Category : Computers
Languages : en
Pages : 198

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Book Description
This is the first coherent book on literature-based discovery (LBD). LBD is an inherently multi-disciplinary enterprise. The aim of this volume is to plant a flag in the ground and inspire new researchers to the LBD challenge.

Trends and Applications in Knowledge Discovery and Data Mining

Trends and Applications in Knowledge Discovery and Data Mining PDF Author: Wei Lu
Publisher: Springer Nature
ISBN: 3030604705
Category : Computers
Languages : en
Pages : 193

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Book Description
This book constitutes the thoroughly refereed post-workshop proceedings of the workshops that were held in conjunction with the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, in Singapore, Singapore, in May 2020. The 17 revised full papers presented were carefully reviewed and selected from a total of 50 submissions. The five workshops were as follows: · First International Workshop on Literature-Based Discovery (LBD 2020) · Workshop on Data Science for Fake News (DSFN 2020) · Learning Data Representation for Clustering (LDRC 2020) · Ninth Workshop on Biologically Inspired Techniques for Data Mining (BDM · 2020) · First Pacific Asia Workshop on Game Intelligence & Informatics (GII 2020)

Public Knowledge, Private Ignorance

Public Knowledge, Private Ignorance PDF Author: Patrick Wilson
Publisher: Praeger
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 180

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Book Description
An examination of the role of libraries in the utilization of knowledge and in enhancing the informed conduct of life incorporates a review of the goals of library use and library services.

Drug Discovery

Drug Discovery PDF Author: Jie Jack Li
Publisher: John Wiley & Sons
ISBN: 111835446X
Category : Medical
Languages : en
Pages : 572

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Book Description
Sets forth the history, state of the science, and future directions of drug discovery Edited by Jie Jack Li and Nobel laureate E. J. Corey, two leading pioneers in drug discovery and medicinal chemistry, this book synthesizes great moments in history, the current state of the science, and future directions of drug discovery into one expertly written and organized work. Exploring all major therapeutic areas, the book introduces readers to all facets and phases of drug discovery, including target selection, biological testing, drug metabolism, and computer-assisted drug design. Drug Discovery features chapters written by an international team of pharmaceutical and medicinal chemists. Contributions are based on a thorough review of the current literature as well as the authors' firsthand laboratory experience in drug discovery. The book begins with the history of drug discovery, describing groundbreaking moments in the field. Next, it covers such topics as: Target identification and validation Drug metabolism and pharmacokinetics Central nervous system drugs In vitro and in vivo assays Cardiovascular drugs Cancer drugs Each chapter features a case study, helping readers understand how science is put into practice throughout all phases of drug discovery. References at the end of each chapter serve as a gateway to groundbreaking original research studies and reviews in the field. Drug Discovery is ideal for newcomers to medicinal chemistry and drug discovery, providing a comprehensive overview of the field. Veterans in the field will also benefit from the perspectives of leading international experts in all aspects of drug discovery.

Reinventing Discovery

Reinventing Discovery PDF Author: Michael Nielsen
Publisher: Princeton University Press
ISBN: 0691202842
Category : Science
Languages : en
Pages : 272

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Book Description
"Reinventing Discovery argues that we are in the early days of the most dramatic change in how science is done in more than 300 years. This change is being driven by new online tools, which are transforming and radically accelerating scientific discovery"--

The Discovery of Slowness

The Discovery of Slowness PDF Author: Sten Nadolny
Publisher: Penguin
ISBN: 1101658096
Category : Fiction
Languages : en
Pages : 337

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Book Description
In The Discovery of Slowness, German novelist Sten Nadolny recounts the life of the nineteenth-century British explorer Sir John Franklin (1786-1847). The reader follows Franklin's development from awkward schoolboy and ridiculed teenager to expedition leader, governor of Tasmania, and icon of adventure. Everyone with whom he came into contact sensed that he was a rare man, one who was “out of his time” and who moved to a different, grander beat. That beat eventually led Franklin to sail once more—on his final, fateful voyage—into the Arctic in search of the Northwest Passage. The Discovery of Slowness is both a riveting account of a remarkable and varied life, and a profound and thought-provoking meditation on time.

Integrating Discovery-Based Research into the Undergraduate Curriculum

Integrating Discovery-Based Research into the Undergraduate Curriculum PDF Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309380898
Category : Education
Languages : en
Pages : 161

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Book Description
Students who participate in scientific research as undergraduates report gaining many benefits from the experience. However, undergraduate research done independently under a faculty member's guidance or as part of an internship, regardless of its individual benefits, is inherently limited in its overall impact. Faculty members and sponsoring companies have limited time and funding to support undergraduate researchers, and most institutions have available (or have allocated) only enough human and financial resources to involve a small fraction of their undergraduates in such experiences. Many more students can be involved as undergraduate researchers if they do scientific research either collectively or individually as part of a regularly scheduled course. Course-based research experiences have been shown to provide students with many of the same benefits acquired from a mentored summer research experience, assuming that sufficient class time is invested, and several different potential advantages. In order to further explore this issue, the Division on Earth and Life Studies and the Division of Behavioral and Social Sciences and Education organized a convocation meant to examine the efficacy of engaging large numbers of undergraduate students who are enrolled in traditional academic year courses in the life and related sciences in original research, civic engagement around scientific issues, and/or intensive study of research methods and scientific publications at both two- and four-year colleges and universities. Participants explored the benefits and costs of offering students such experiences and the ways that such efforts may both influence and be influenced by issues such as institutional governance, available resources, and professional expectations of faculty. Integrating Discovery-Based Research into the Undergraduate Curriculum summarizes the presentations and discussions from this event.

Computational Creativity

Computational Creativity PDF Author: Tony Veale
Publisher: Springer
ISBN: 3319436104
Category : Computers
Languages : en
Pages : 398

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Book Description
Computational creativity is an emerging field of research within AI that focuses on the capacity of machines to both generate and evaluate novel outputs that would, if produced by a human, be considered creative. This book is intended to be a canonical text for this new discipline, through which researchers and students can absorb the philosophy of the field and learn its methods. After a comprehensive introduction to the idea of systematizing creativity the contributions address topics such as autonomous intentionality, conceptual blending, literature mining, computational design, models of novelty, evaluating progress in related research, computer-supported human creativity and human-supported computer creativity, common-sense knowledge, and models of social creativity. Products of this research will have real consequences for the worlds of entertainment, culture, science, education, design, and art, in addition to artificial intelligence, and the book will be of value to practitioners and students in all these domains.

A Context-driven Subgraph Model for Literature-based Discovery

A Context-driven Subgraph Model for Literature-based Discovery PDF Author: Delroy Huborn Cameron
Publisher:
ISBN:
Category : Computer science
Languages : en
Pages : 169

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Book Description
Literature-Based Discovery (LBD) refers to the process of uncovering hidden connections that are implicit in scientific literature. Numerous hypotheses have been generated from scientific literature using the LBD paradigm, which influenced innovations in diagnosis, treatment, preventions and overall public health. However, much of the existing research on discovering hidden connections among concepts have used distributional statistics and graph-theoretic measures to capture implicit associations. Such metrics do not explicitly capture the semantics of hidden connections. Rather, they only allude to the existence of meaningful underlying associations. To gain in-depth insights into the meaning of hidden (and other) connections, complementary methods have often been employed. Some of these methods include: 1) the use of domain expertise for concept filtering and knowledge exploration, 2) leveraging structured background knowledge for context and to supplement concept filtering, and 3) developing heuristics a priori to help eliminate spurious connections. While effective in some situations, the practice of relying on domain expertise, structured background knowledge, and heuristics to complement distributional and graph-theoretic approaches, has serious limitations. The main issue is that the intricate context of complex associations is not always known a priori and cannot easily be computed without understanding the underlying semantics of the associations. Complex associations should not be overlooked, since they are often needed to elucidate the mechanisms of interaction and causality relationships among concepts. Moreover, they can capture the broader aspects of a biomedical sub-domain by segregating associations along different thematic dimensions, such as Metabolic Function, Pharmaceutical Treatment, and Neurological Activity. This dissertation proposes an innovative context-driven, automatic subgraph creation method for finding hidden and complex associations among concepts, along multiple thematic dimensions. It outlines definitions for context and shared context, based on implicit and explicit (or formal) semantics, which compensate for deficiencies in statistical and graph-based metrics. It also eliminates the need for heuristics a priori. An evidence-based evaluation of the proposed framework showed that 8 out of 9 existing scientific discoveries could be recovered using this approach. Additionally, insights into the meaning of associations could be obtained using provenance provided by the system. In a statistical evaluation to determine the interestingness of the generated subgraphs, it was observed that an arbitrary association is mentioned in only approximately 4 articles in MEDLINE, on average. These results suggest that leveraging implicit and explicit context, as defined in this dissertation, is a significant advancement of the state-of-the-art in LBD research.