Deep Learning System for Biomedical Relation Extraction Combining External Sources of Knowledge

2021 ◽  
pp. 688-693
Author(s):  
Diana Sousa
Keyword(s):  
Deep Learning ◽  
Relation Extraction ◽  
Learning System ◽  
Sources Of Knowledge ◽  
External Sources ◽  
External Sources Of Knowledge ◽  
Biomedical Relation Extraction

Users’ Involvement in the Innovation Process through Web 2.0

2012 ◽  
pp. 222-255
Author(s):  
Sergio Ricardo Mazini ◽  
José Alcides Gobbo
Keyword(s):  
Web 2.0 ◽  
New Product Development ◽  
Idea Generation ◽  
Innovation Process ◽  
Competitive Advantages ◽  
Sources Of Knowledge ◽  
External Sources ◽  
External Sources Of Knowledge ◽  
Development Participation

Organizations are inserted into a competitive environment in which innovation is an essential factor in gaining temporary competitive advantages. The search for external sources of knowledge, which can contribute to the innovation process, has become a constant among the organizations. One of the actors involved in this search is users, who often play an important role in the development of new products. This chapter develops a framework for the analysis of users’ involvement in the innovation process through Web 2.0. The research method used a unique case study conducted in a Brazilian automotive company that developed a project of a concept car involving users through Web 2.0. The presented study case was analyzed according to the framework. The obtained result shows that users can contribute not only with idea generation, but also with involvement in the innovation process, depending on which steps of the New Product Development (NPD) process they take part in. Moreover, increasingly users’ development, participation, and collaboration are essential factors in this process.

Users' Involvement in the Innovation Process through Web 2.0

2014 ◽  
pp. 1363-1388
Author(s):  
Sergio Ricardo Mazini ◽  
José Alcides Gobbo Jr.
Keyword(s):  
Web 2.0 ◽  
New Product Development ◽  
Idea Generation ◽  
Innovation Process ◽  
Competitive Advantages ◽  
Sources Of Knowledge ◽  
External Sources ◽  
External Sources Of Knowledge ◽  
Development Participation

Organizations are inserted into a competitive environment in which innovation is an essential factor in gaining temporary competitive advantages. The search for external sources of knowledge, which can contribute to the innovation process, has become a constant among the organizations. One of the actors involved in this search is users, who often play an important role in the development of new products. This chapter develops a framework for the analysis of users' involvement in the innovation process through Web 2.0. The research method used a unique case study conducted in a Brazilian automotive company that developed a project of a concept car involving users through Web 2.0. The presented study case was analyzed according to the framework. The obtained result shows that users can contribute not only with idea generation, but also with involvement in the innovation process, depending on which steps of the New Product Development (NPD) process they take part in. Moreover, increasingly users' development, participation, and collaboration are essential factors in this process.

Head Coaches’ Perceptions on the Roles, Selection, and Development of the Assistant Coach

2014 ◽  
Vol 1 (1) ◽  
pp. 5-16 ◽  
Author(s):  
Scott Rathwell ◽  
Gordon A. Bloom ◽  
Todd M. Loughead
Keyword(s):  
Head Coaches ◽  
Skill Sets ◽  
Roles And Responsibilities ◽  
Football Coaches ◽  
Assistant Coaches ◽  
Sources Of Knowledge ◽  
External Sources ◽  
And Behaviors ◽  
Assistant Coach ◽  
External Sources Of Knowledge

The purpose of the study was to gain an in-depth understanding of the characteristics head coaches looked for when hiring their head assistant coach, the main roles and responsibilities assigned to assistants, and the techniques and behaviors used to develop them. Data were obtained through interviews with six accomplished Canadian University head football coaches. Results indicated head coaches hired loyal assistants who possessed extensive football knowledge that complimented their own skill sets. Once hired, head coaches had their assistant coaches help them with recruiting, managing a major team unit, and developing athletes. They helped advance their assistants’ careers through personal mentorships which included exposure to external sources of knowledge such as football camps and coaching conferences. These results represent one of the first empirical accounts of head coaches’ perceptions on hiring and developing head assistant coaches.

scholarly journals Users' Involvement in the Innovation Process through Web 2.0

Economics ◽  
2015 ◽  
pp. 536-561
Author(s):  
Sergio Ricardo Mazini ◽  
José Alcides Gobbo Jr.
Keyword(s):  
Web 2.0 ◽  
New Product Development ◽  
Idea Generation ◽  
Innovation Process ◽  
Competitive Advantages ◽  
Sources Of Knowledge ◽  
External Sources ◽  
External Sources Of Knowledge ◽  
Development Participation

Organizations are inserted into a competitive environment in which innovation is an essential factor in gaining temporary competitive advantages. The search for external sources of knowledge, which can contribute to the innovation process, has become a constant among the organizations. One of the actors involved in this search is users, who often play an important role in the development of new products. This chapter develops a framework for the analysis of users' involvement in the innovation process through Web 2.0. The research method used a unique case study conducted in a Brazilian automotive company that developed a project of a concept car involving users through Web 2.0. The presented study case was analyzed according to the framework. The obtained result shows that users can contribute not only with idea generation, but also with involvement in the innovation process, depending on which steps of the New Product Development (NPD) process they take part in. Moreover, increasingly users' development, participation, and collaboration are essential factors in this process.

scholarly journals Internal and External Sources of Knowledge in Manufacturing and Service Enterprises. A Comparative Analysis of European Union Countries

2020 ◽  
Vol 23 (3) ◽  
pp. 21-39 ◽  
Author(s):  
Joanna Wyszkowska-Kuna
Keyword(s):  
Knowledge Base ◽  
Highly Qualified ◽  
Sources Of Knowledge ◽  
The World ◽  
External Sources ◽  
Recent Financial Crisis ◽  
External Sources Of Knowledge ◽  
Changing Role ◽  
The Eu ◽  
Internal Knowledge

Along with the development of economies based on knowledge, the importance of knowledge input in production processes has been increasing. Enterprises may acquire knowledge input by developing their internal knowledge base and/or purchasing knowledge from external entities. Their internal knowledge base may be developed mainly by employing highly qualified specialists and their own research. The aim of the paper is to examine the importance of all these knowledge sources in manufacturing and services enterprises, as well as to compare their changing role with productivity performance in EU countries. It is based on data from the World Input-Output Database, Eurostat, OECD and EU KLEMS. Thanks to the availability of relevant data, the analysed period covers the years 1995–2018. The study demonstrates that knowledge base, developed through both internal and external sources, played a significantly more important role in the EU-15 than in the EU-12, with a tendency to decrease these disparities (most visible with respect to KIBS input). The growing importance of an external knowledge base was more visible and stable in the EU-12 countries. R&D expenditures were an exception. The recent financial crisis heavily affected only external R&D expenditures.

scholarly journals BioRel: towards large-scale biomedical relation extraction

2020 ◽  
Vol 21 (S16) ◽  
Author(s):  
Rui Xing ◽  
Jie Luo ◽  
Tengwei Song
Keyword(s):  
Deep Learning ◽  
Large Scale ◽  
Critical Role ◽  
Relation Extraction ◽  
Extraction Methods ◽  
Statistical Machine Learning ◽  
Language System ◽  
Unified Medical Language System ◽  
Medical Language ◽  
Biomedical Relation Extraction

Abstract Background Although biomedical publications and literature are growing rapidly, there still lacks structured knowledge that can be easily processed by computer programs. In order to extract such knowledge from plain text and transform them into structural form, the relation extraction problem becomes an important issue. Datasets play a critical role in the development of relation extraction methods. However, existing relation extraction datasets in biomedical domain are mainly human-annotated, whose scales are usually limited due to their labor-intensive and time-consuming nature. Results We construct BioRel, a large-scale dataset for biomedical relation extraction problem, by using Unified Medical Language System as knowledge base and Medline as corpus. We first identify mentions of entities in sentences of Medline and link them to Unified Medical Language System with Metamap. Then, we assign each sentence a relation label by using distant supervision. Finally, we adapt the state-of-the-art deep learning and statistical machine learning methods as baseline models and conduct comprehensive experiments on the BioRel dataset. Conclusions Based on the extensive experimental results, we have shown that BioRel is a suitable large-scale datasets for biomedical relation extraction, which provides both reasonable baseline performance and many remaining challenges for both deep learning and statistical methods.

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