Scientific Knowledge Management Research Articles

Actualization of cyber resilience and historical origins of the concept of "resilience"

In this article, cyber resilience is defined as the ability to withstand external shocks caused by cyber risks, recover from them, and adapt to them. The importance of building a cyber resilience system in modern conditions is emphasized and examples of emergency situations of cyberattacks are given. The need to ensure cyber resilience at facilities and institutions is considered, different types of threats aimed at different systems, as well as the consequences of their negative impact are highlighted.
 It is noted that resilience and risk management, although interrelated, are still different. Risk management involves quantitative risk assessment, which forms a decision on the most appropriate strategy for responding to them. Resilience is important when risk is incalculable, when hazardous conditions are a complete surprise, or when analytical risk parameters have proven ineffective.
 It is emphasized that at a fundamental level, there are certain disagreements about the true meaning of resilience: for some, it implies the ability of a system to withstand a shock and return to its initial state, while for others it is an evolutionary process leading to adaptation and a new state of balance.
 Resilience has a long and rich history in various fields of scientific knowledge, including ecology, psychology, and disaster management. One of its main advantages is that it allows complex systems to prepare for adverse events and continue to operate under extraordinary conditions. It is concluded that the "prevent and protect” paradigm, which is still dominant today, is insufficient, and that risk management tools need to be developed in the direction of cyber resilience.

Utilizing Knowledge Graph to Build a Scientific and Technological Knowledge Management System for Grid Industry

Abstract Based on knowledge mapping, this paper designs the application architecture of the scientific and technological knowledge management system for the power grid industry and proposes the design of key modules such as knowledge extraction, knowledge fusion and cross-checking. In terms of knowledge fusion, this paper proposes the functional design of conflict detection, entity alignment based on deep learning, data fusion based on linking and cross-validation based on confidence assessment. In terms of cross-truth, this paper investigates the credibility calculation of candidate message sets, the representation of candidate message sets, and the construction of logic rules for cross-truth models. Finally, this paper evaluates the system’s term extraction, concept recognition, and performance. The results show that the average elapsed time for each function of graph visualization, keyword search, keyword search, advanced search, and advanced search in the knowledge management system to be executed 20 times is 1.33s, 1.27s, 3.14s, 1.47s, and 3.26s, respectively, and the average response time is only 2.1s. Therefore, the knowledge management system for grid industry science and technology presented in this paper is effective.

The Case for a Common, Reusable Knowledge Graph Infrastructure for NFDI

The Strategic Research and Innovation Agenda (SRIA) of the European Commission identifies Knowledge Graphs (KGs) as one of the most important technologies for building an interoperability framework and enabling data exchange among users across countries, sectors, and disciplines [1]. KG is a graph-structured knowledge base containing a terminology (vocabulary or ontology) and data entities interrelated via the terminology [2]. KGs are based on semantic web technologies (RDF, SPARQL, etc.) and often used for agile data integration. KGs also play an essential role within Germany as a vehicle to connect research data and research-related entities and make those accessible – examples include the GESIS Knowledge Graph Infrastructure, TIB Open Research Knowledge Graph, and GND.network. Furthermore, the Wikidata knowledge graph, maintained by Wikimedia Germany, contains a large number of research-related entities and is widely used in scientific knowledge management in addition to being an important advocacy tool for open data [3]. Extending domain-specific ontology-supported KGs with the multidisciplinary, crowdsourced knowledge in Wikidata KG would enable significant applications. The linking between expert knowledge systems and world knowledge empowers lay persons to benefit from high-quality research data and ultimately contributes to increasing confidence in scientific research in society.

Scientific Ethos and Knowledge Management

The development of knowledge creation theory (Nonaka and Takeuchi, 1995) took into account the values shared by the members of an organization, later generating an extended concept of "Ba" (Nonaka and Toyama, 2005), understood as shared context. Matsuadira (2010) defined the complex of organisational values (the ethos) as knowledge (intangible) assets for knowledge creating companies. I suggest that this leads us back to R.K. Merton’s theory of the normative structure of science and the ethos of science. The challenge is to ask whether we can we talk about the applicability of the norms proposed by Merton to the case of knowledge management in knowledge creating companies, or rather there will be some evident deviations and counter-norms. It is well known that the value of universalism is contested by particularism or that of “communism” by the secrecy of research. My hypothesis is that at methodological level the technical norms of knowledge testing and evaluation are universal and globalizable, but in the practical context of the action the guiding values and the mores of knowledge production are local and particular, i.e. depending on various social and cultural factors. The principle of glocalization (“think globally and act locally”) should, therefore, be applied.

Rehabilitation services and related health databases, Japan.

The demographic transition towards an ageing population and the epidemiological transition from communicable to noncommunicable diseases have increased the demand for rehabilitation services globally. The aims of this paper were to describe the integration of rehabilitation into the Japanese health system and to illustrate how health information systems containing real-world data can be used to improve rehabilitation services, especially for the ageing population of Japan. In addition, there is an overview of how evidence-informed rehabilitation policy is guided by the analysis of large Japanese health databases, such as: (i)the National Database of Health Insurance Claims and Specific Health Checkups; (ii)the long-term care insurance comprehensive database; and (iii)the Long-Term Care Information System for Evidence database. Especially since the 1990s, the integration of rehabilitation into the Japanese health system has been driven by the country's ageing population and rehabilitation is today provided widely to an increasing number of older adults. General medical insurance in Japan covers acute and post-acute (or recovery) intensive rehabilitation. Long-term care insurance covers rehabilitation at long-term care institutions and community facilities for older adults with the goal of helping to maintain independence in an ageing population. The analysis of large health databases can be used to improve the management of rehabilitation care services and increase scientific knowledge as well as guide rehabilitation policy and practice. In particular, such analyses could help solve the current challenges of overtreatment and undertreatment by identifying strict criteria for determining who should receive long-term rehabilitation services.

The shrunk genetic diversity of coral populations in North-Central Patagonia calls for management and conservation plans for marine resources

The Chilean Patagonia is a complex puzzle of numerous fjords, channels, bays, estuaries, and islands. The largest part of it is very remote, hampering the generation of scientific knowledge and effective management planning that could balance conservation of the marine resources with the increasing development of aquaculture activities. The present study focuses on the deep-water emergent cold-water coral Desmophyllum dianthus, dwelling in Chilean Patagonia, with the aim to illustrate its population genetic structure, demography and adaptation of the species along this coast. Microsatellite loci analysis included D. dianthus individuals from twelve sampling localities along bathymetric and oceanographic gradients from the latitude 40°S to 48°S. The results showed a lack of genetic structure with an asymmetric dispersion of individuals, and relevant heterozygosity deficiency in some populations. This study also analyses the natural and human impacts affecting the region (e.g., climate change, increasing salmon farming activities), and stresses the importance of including genetic information in the process of management and conservation of marine resources. In particular, the relevance of using interdisciplinary approaches to fill the gaps in scientific knowledge especially in remote and pristine areas of western Patagonia. Therefore, information on genetic spatial distribution of marine fauna could become pivotal to develop a holistic ecosystem-based approach for marine spatial planning.

DÜNYAMIZDA DEĞİŞEN GÜVENLİK ORTAMI VE KELEBEK ETKİSİ

Son yıllarda dünyada güvenlik ve teknoloji alanında baş döndürücü bir değişim ve savaşların dönüşümüne şahit olmaktayız. Bu değişim ile ülkelerin içinde bulunduğu ekonomik sıkıntılar, savunma harcamalarındaki azalma, kaynakların daha etkin kullanılma ihtiyacı, milli güvenlik bağlamında belirsizlikle mücadeleler ve birlikte çalışabilme, söz konusu ülkeleri dönüşüme zorlamaktadır. Sürekli değişen çevre koşulları, meseleye etki eden karmaşık faktörlerin farklılığı; analitik hazırlık sürecini, zekanın etkili kullanımını, duruma süratle uyum sağlamayı, bilimsel karar vermeyi, bilgi yönetimini, liderlik ve stratejik iletişimi gerekli kılmaktadır. Önemli olan, öğrenen organizasyon olmak, dönüşümsel düşünmek, güvenlik, barış, istikrar ve refah için milli menfaatlere uygun tedbirleri almak ve kelebek etkisini hesaba katarak milli gücü her daim kuvvetli tutmaktır. Bu makalede güvenlikteki dönüşüm, yeni savaşlar, NATO’nun gelecek analizi çalışılmış ve bir değerlendirme yapılmıştır.

Course‐based undergraduate research to advance environmental education, science, and resource management

Every year, field excursions engage students of ecology in experiential learning that results in wide‐ranging and well‐documented pedagogical benefits. Much less appreciated, however, is the potential for these excursions to contribute long‐term data that advance scientific knowledge and natural resource management. Here we explore this potential by providing a global synthesis of field data collection, mapping the geography, temporal extent, and type of data collected by students worldwide, and calling attention to the associated benefits and challenges for course instructors. We then offer perspectives on how undergraduate courses in ecology can more broadly contribute to science, management, and policy. Finally, we highlight how several aspects – namely, existing frameworks, resources, and networks; enhanced institutional support; and synergies with the broader science community – can help undergraduate ecology courses achieve their full potential for contributing to both education and science for society.

Video Content Analysis of Human Sports under Engineering Management Incorporating High-Level Semantic Recognition Models.

In this paper, a high-level semantic recognition model is used to parse the video content of human sports under engineering management, and the stream shape of the previous layer is embedded in the convolutional operation of the next layer, so that each layer of the convolutional neural network can effectively maintain the stream structure of the previous layer, thus obtaining a video image feature representation that can reflect the image nearest neighbor relationship and association features. The method is applied to image classification, and the experimental results show that the method can extract image features more effectively, thus improving the accuracy of feature classification. Since fine-grained actions usually share a very high similarity in phenotypes and motion patterns, with only minor differences in local regions, inspired by the human visual system, this paper proposes integrating visual attention mechanisms into the fine-grained action feature extraction process to extract features for cues. Taking the problem as the guide, we formulate the athlete's tacit knowledge management strategy and select the distinctive freestyle aerial skills national team as the object of empirical analysis, compose a more scientific and organization-specific tacit knowledge management program, exert influence on the members in the implementation, and revise to form a tacit knowledge management implementation program with certain promotion value. Group behavior can be identified by analyzing the behavior of individuals and the interaction information between individuals. Individual interactions in a group can be represented by individual representations, and the relationship between individual behaviors can be analyzed by modeling the relationship between individual representations. The performance improvement of the method on mismatched datasets is comparable between the long-short time network based on temporal information and the language recognition method with high-level semantic embedding vectors, with the two methods improving about 12.6% and 23.0%, respectively, compared with the method using the original model and with the i-vector baseline system based on the support vector machine classification method with radial basis functions, with performance improvements about 10.10% and 10.88%, respectively.

Sexual Dimorphism, Length-Weight Relationships, Fecundity, and Diet of the Striped Eel Catfish <i>Plotosus lineatus</i> (Plotosidae) on Taiwan’s Southwest Coast

This study of feeding guild fish from the same coast of subtropics helps to suggest conservation of fishery resources. A total of 2,537 specimens of Plotosus lineatus (Plotosidae) were collected from July 2013 to March 2019 on the coast of Taiwan. The average total body length (TL) was 23.7 cm ± 4.7 cm and 20.3 cm ± 2.9 cm, and the average body weight (W) was 94.1 g ± 59.6 g and 56.6 g ± 30.8 g among 174 males and 630 females, respectively. The LWRs of male and female were ln(W)M = 3.2914 × ln (TL) − 6.0395, and ln(W)F = 3.0917 × ln(TL) − 5.3629. The male specimens were large than female in TL and W. The average OSW/TL ratios were 0.722 ± 0.044 and 0.649 ± 0.029 among 41 male and 49 female specimens, respectively. The OSW of the male head was wider than that of the female head (F = 91.5; p P. lineatus exhibits significant sexual dimorphism. The average eggs number of each female was 2375.6 eggs/individual ± 1140.9 eggs/individual (N = 161). The major prey of P. lineatus were shrimps, crabs, and fishes; the total relative frequencies of occurrence of the prey were 57.1%, 32.6%, and 37.2%, respectively (N = 282), and their total relative abundance levels were 40.2%, 26.3%, and 25.8%, respectively (N = 445). Proper scientific knowledge management will improve the development of fisheries.

AN OVERVIEW OF BIG DATA IN COVID-19 AS A CONTRIBUTION TO THE MANAGEMENT OF SCIENTIFIC AND TECHNOLOGICAL KNOWLEDGE

In times of pandemic, rapid sharing of research data is urgently needed, as is the intensification of networking. The COVID-19 pandemic brought a new perspective in relation to knowledge management in various organizational means, whether through the search for innovation or the improvement of its processes. Thus, to calculate the state of the art and track scientific and technological knowledge in the COVID-19 spectrum, the keyword “Coronavir*” was used in the PubMed and Espacenet databases. Data were processed by Carrot Search Lingo4G® and PatentInspiration®. In the Pubmed database, 1,000 documents were retrieved, which were organized into 81 groups of sub-themes, with emphasis on the sub-theme “treatment during coronavirus disease”, with 188 articles (18.8% of the total). Regarding technological innovation, China and the United States were the countries that filed the most patent applications, especially in 2020 and 2021, corresponding to 68.5% of the total. The first 4 (four) applicants with the highest number of patents were Pfizer, Gilead Sciences Inc., Center Nat Rech, Crucell Holland. The results obtained over a period of time demonstrate a partnership between universities and companies towards the fight against the pandemic. The tools for identifying, extracting and processing data (or free), are needed efficiently in the management of scientific and technological knowledge in COVID -19, thus being able to contribute to more assertive decision-making at various organizational levels. Keywords: Big Data, COVID-19, Knowledge Management, coronavirus patents

Field study on effect of hormonal protocol on treatment of postpartum anoestrus in water buffaloes of semi-arid region of Uttar Pradesh

Water Buffalo ( Bubalus bubalis ) is one of the premier productive animal and a major contributor to milk, meat, skin and draught power in our country. It is a better dairy animal in comparison to cattle in terms of better feed (roughage) conversion efficiency, greater resistance to diseases, and, higher milk fat percentage. But anoestrus is the most important cause of poor reproductive performance in buffaloes both in filed condition as well as in organized farm. The percentage of anoestrus is more in rural areas mainly due to malnutrition, lack of scientific knowledge and improper management practices causing huge economic losses to the farmers. Thus this study was conducted to test the effectiveness of these treatments in farmers field for treating anoestrus in buffaloes with PGF2α or GnRH protocol (ovsynch protocol) under the field conditions. A total of 36 animals were selected from different affected villages of Matura district with good body condition score (BCS >2.5), parity of two or above, healthy reproductive organs and history of minimum 6 months anoestrus problems after reaching the age of breeding or after calving or the last breeding were selected. The treated animals were examined per-rectal method. Among 36 treated buffaloes, 13 were found pregnant (36.11 %) and another 9 buffaloes had become cyclic with success rate of treatment was 61.11 %.

Scientific knowledge management about Monte Carlo method: a bibliometric analysis on IRD Postgraduate Program in Radiation Protection and Dosimetry

With technological advances in several research areas of science, it is becoming increasingly common to use computer programs to solve problems. Some of these programs are based on statistical analysis and simulation of reality, such as the Monte Carlo Method (MC). The MC is a statistical tool widely used in different areas of knowledge, as a resource for simulating events that involve from financial assessments to the interaction of radiation with matter. Thereby, surveys with radiation sources, for example, are constantly evolving to study the question of radiation protection. In this sense, this paper has as main objective to verify the relevance of the MC for the area of radiation protection, analyzing the studies that apply the method in the Postgraduate Program (PPG) in Radiation Protection and Dosimetry of Institute of Radiation Protection and Dosimetry (IRD). This is because it is understood thatthrough the application of Scientific Knowledge Management (SKM) the construction of knowledge happens through an exchange of scientific information, that is, exchange of relevant contents that help in the preservation of knowledge.In this sense, a bibliometric analysis of the dissertations and theses deposited in Brazilian bank was made using the search term "Monte Carlo" and its respective programs (PENELOPE, GEANT4, EGSnrc, MCNP and Visual Monte Carlo), to be found in the title, abstract or keywords. With the identification of works carried out in all areas of concentration of the PPG, it is understood that the MC is extremely relevant for studies in the area of radiation protection.

Thinking the unthinkable: A perspective on Natech risks and Black Swans

Technological accidents are a threat to the population, the environment and the economy. Occasionally, the notion of “Black Swan” event is applied to such accidents as an explanation for why they could not be prevented. By their very nature, Black Swans are considered extreme outliers which are impossible to anticipate or manage. However, technological accidents are generally foreseeable and therefore preventable when the associated risk is managed responsibly and when warning signs are not ignored. Consequently, such accidents cannot be considered Black Swans. We contend that the same holds for technological accidents triggered by natural hazards (so-called Natech accidents) which usually result from a lack of corporate oversight and insufficient application of state-of-the-art knowledge in managing the associated risk. We argue that the successful reduction of Natech risk requires a corporate mindfulness of the risk and the need to address it using updated approaches, the recognition that organizational behavior influences the risk significantly, and risk ownership that departs from the “Act-of-God” mindset which much of the discussion around natural hazards is fraught with. The study also highlights the importance of scientific research and knowledge management to reduce risks.

Nanoionics - the Developing Informative System. Part 3. Generation of Prognostic Information and the Role of Strategic Innovation Management in the Development of Nanoionics

A critical review of the stages of formation, development, and current state of nanoionics in Russia and in the world is presented. Nanoionics is the science, technology, and application of fast ion transport phenomena in solid-state devices and nanostructures. Nanoionics is considered to be a developing information system, its history is first analyzed in terms of D. S. Chernavskii's dynamic information theory and in the context of the influence of strategic innovation management. In the final part of the review, an in-depth methodological analysis of the evolution of nanoionics in the environment of adjacent disciplines (nanoarchitectonics and iontonics) is performed. The aim of the work is to develop a methodology of scientific knowledge and strategic management. The analysis of nanoionics evolution is carried out in terms of conjuncture and prognostic information, class-subclass relations between attributive spaces of the competing disciplines. It is shown that nanoarchitectonics and iontronics cannot serve as meta-disciplines, because they do not have emergent attributes that are incompatible with the attributes of the discipline "nanotechnology", understood in the broad sense. Also, at present, interface nanoarchitectonics does not generalize nanoionics due to the lack of new attributes in the thesaurus. The results obtained go beyond the relationship of nano-disciplines, as the methodology used is based on the definition of information and addresses the problem of the mechanism of generation of prognostic information.

Escola Itinerante Herdeiros do Saber: uma análise sobre o processo de transformação da “Escola do Ensino” para “Escola do Trabalho”

O artigo apresenta uma pesquisa que tem como objeto de estudo a Escola Itinerante Herdeiros do Saber do Movimento dos Trabalhadores Sem Terra, Rio Bonito do Iguaçu, Paraná. O objetivo da pesquisa foi analisar o processo de transformação das práticas pedagógicas da “Escola do Ensino” para “Escola do Trabalho”, a partir das perspectivas dos(as) professores(as) atuantes nessa escola. A metodologia de estudo de caso utilizou entrevistas semiestruturadas, observação participante e diário de campo. A pesquisa busca contribuir com as discussões acerca da forma escolar no movimento de transformações pedagógicas das escolas do campo. Os resultados da pesquisa evidenciam um processo de construção de práticas pedagógicas orientadas pelo trabalho como princípio educativo, vínculo da formação escolar com a vida e a organização escolar, com diferentes tempos e espaços. Nestes âmbitos, as principais contradições presentes expressam questões da centralidade do ensino dos conhecimentos científicos, das práticas de gestão pedagógica e escolar, da formação dos(as) professores(as). Apresenta, por fim, alguns desafios da experiência escolar analisada quanto à consolidação da proposta pedagógica da escola, à falta de recurso e investimento e ao contexto político da realidade social da escola.
 Palavras-chave: escola itinerante, movimentos dos trabalhadores rurais sem terra, práticas pedagógicas, “escola do trabalho”, “escola do ensino”.
 
 Itinerant School Herdeiros do Saber: an analysis on the process of transforming the “School of Teaching” to the “School of Work”
 ABSTRACT. The article presents a research that has as object of study the Itinerant School Herdeiros do Saber of the Landless Workers Movement, Rio Bonito do Iguaçu, Paraná. The objective of the research was to analyze the process of transforming the pedagogical practices of the “School of teaching” to the “School of work”, from the perspectives of the teachers working in that school. The case study methodology used semi-structured interviews, participant observation and field diary. The research seeks to contribute to the discussions about the school form in the movement of pedagogical transformations of rural schools. The research results show a process of construction of pedagogical practices guided by work as an educational principle, the link between school education and life and the school organization, with different times and spaces. In these areas, the main contradictions present express questions of the centrality of teaching scientific knowledge, of pedagogical and school management practices, of the training of teachers. Finally, it presents some challenges of the school experience analyzed regarding the consolidation of the school's pedagogical proposal, the lack of resources and investment and the political context of the school's social reality.
 Keywords: itinerant school, landless rural workers’ movement, pedagogical practices, “school of work”, “school of teaching”.
 
 Escuela Itinerante Herederos del Saber: un análisis sobre el proceso de transformación de la "Escuela de Enseñanza" a "Escuela del Trabajo"
 RESUMEN. El artículo presenta una investigación que tiene como objeto de estúdio la Escuela Itinerante Herederos del Saber del Movimiento de los Trabajadores Sin Tierra, Rio Bonito do Iguaçu, Paraná. El objetivo de la investigación fue analizar el proceso de transformación de lãs prácticas pedagógicas de la "Escuela de la Enseñanza" para la "Escuela del Trabajo", a partir de las perspectivas de los(de las) profesores(las) que actúan en esta escuela. La metodología de estudio de caso utilizó entrevistas semiestructuradas, observación participante y diario de campo. La investigación busca contribuir con lãs discusiones acerca de la forma escolar en el movimiento de transformaciones pedagógicas de lãs escuelas del campo. Los resultados de la investigación evidencian un proceso de construcción de prácticas pedagógicas guiadas por el trabajo como principio educativo, vínculo de la formación escolar con la vida y la organización escolar con distintos tiempos y espacios. En estos ámbitos, lãs principales contradicciones presentes expresan cuestiones de lacentralidad de la enseñanza de los conocimientos científicos, de lãs prácticas de gestión pedagógica y escolar, de la formación de los (las) profesores(as). Finalmente presenta algunos desafíos de la experiencia escolar analizada encuanto a la consolidación de la propuesta pedagógica de la escuela, la falta de recurso e inversión y al contexto político de la realidad social de la escuela.
 Palabras clave: escuela itinerante, movimientos de los trabajadores rurales sin tierra, prácticas pedagógicas, "escuela del trabajo", "escuela de la enseñanza”.

PERFIL DE PRODUÇÃO CIENTÍFICA DOS DOCENTES EM UMA INSTITUIÇÃO FEDERAL DE ENSINO SUPERIOR NO BRASIL

Prática incomum nas universidades, conhecer sua produção científica pode ser útil para o estabelecimento de estratégias de desenvolvimento institucional e nacional. Assim, buscou-se traçar o perfil da pesquisa e produção científica do corpo docente de uma instituição frequentemente citada nacional e internacionalmente por sua qualidade acadêmica, reconhecida, em 2017, como a 12ª mais produtiva em todo o País, mas que no entanto apresentou baixos índices quanto a parâmetros qualitativos desta produção. Verificou-se acentuada concentração desta produção científica em periódicos bem classificados na base Qualis, entretanto como de baixo fator de impacto, sendo esta devida a um número muito reduzido de docentes, em um universo no qual quantidade significativa nunca foi citada por seus pares ou sequer logrou a divulgação de algum produto científico em veículo indexado em bases internacionais. São apresentadas diferentes variáveis desta produção científica e sistemas internos para avaliação e progressão funcional nesta instituição. Apresenta-se como a utilização inadequada de uma ferramenta para avaliação de programas de pós-graduação negativamente interferiu na qualidade de toda a produção científica e gestão da instituição, bem como sobre a formação dos futuros mestres e doutores. Concluindo pela adequação de avaliações desta natureza em outras instituições federais de ensino superior no Brasil, são apresentadas para reflexão medidas que poderiam ser implementadas com o intuito de incrementar a qualidade científica desta produção científica, bem como racionalizar a utilização dos recursos públicos a estas instituições destinados, baseado em um processo intrínseco e contínuo de gestão do conhecimento científico.

Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain

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 manual effort for annotations and management is required. Novel technological infrastructures are needed to help researchers, research policy makers, and companies to time-efficiently browse, analyse, and forecast scientific research. Knowledge graphs i.e., large networks of entities and relationships, have proved to be effective solution in this space. Scientific knowledge graphs focus on the scholarly domain and typically contain metadata describing research publications such as authors, venues, organizations, research topics, and citations. However, the current generation of knowledge graphs lacks of an explicit representation of the knowledge presented in the research papers. As such, in this paper, we present a new architecture that takes advantage of Natural Language Processing and Machine Learning methods for extracting entities and relationships from research publications and integrates them in a large-scale knowledge graph. Within this research work, we (i) tackle the challenge of knowledge extraction by employing several state-of-the-art Natural Language Processing and Text Mining tools, (ii) describe an approach for integrating entities and relationships generated by these tools, (iii) show the advantage of such an hybrid system over alternative approaches, and (vi) as a chosen use case, we generated a scientific knowledge graph including 109,105 triples, extracted from 26,827 abstracts of papers within the Semantic Web domain. As our approach is general and can be applied to any domain, we expect that it can facilitate the management, analysis, dissemination, and processing of scientific knowledge.

A MANAGEMENT TOOL TO AID IN THE TROPICAL OUTBREAK OF THE 21st CENTURY: SENIOR SCIENTISTS AND THEIR KNOWLEDGE OF THE TRIPLE THREAT DENGUE, ZIKA AND CHIKUNGUNYA

The 21st century presents itself as the informational and knowledge age. The aging population and the technological innovation to medicine have been a constant concern due to the search for the complete state of well-being of the individual. Nations are making increasing efforts to continually improve their populations. There is an urgent need for better management of knowledge and integrality of health care, such as the integration, convergence and pragmatism of actions in multiple areas. According to the World Bank and the World Health Organization, half the world's population does not have access to essential health services and more than 1 billion are threatened by neglected diseases. Therefore, information science aid in the complexity of identifying, extracting, and treating the quintillions of data added daily to the Web. After processing by ScripLattes tool thousands of resumes on the Lattes platform, 39,046 triple threat experts have been identified, but only 0.3% are senior competencies. The scientific papers published in Dengue fever, Zika virus and Chikungunya fever are 11,743. The ScripLattes tool proved to be efficient to support in the management of scientific knowledge in public health. Thus, this research provides an overview from the core competencies in triple threat in Brazilian territory and their mainly scientific and technological publications. Keywords: knowledge management, information science, public health, triple threat.

GESTÃO DO CONHECIMENTO CIENTÍFICO COMO SÍNTESE INTERDISCIPLINAR: INTERFACES TEÓRICO-CONCEITUAIS ENTRE A GESTÃO DO CONHECIMENTO, A COMUNICAÇÃO CIENTÍFICA E A COMUNICAÇÃO ORGANIZACIONAL

O desenvolvimento das Políticas de Tecnologia, Ciência e Inovação, ao longo do século XX, notadamente, no contexto da sociedade em rede, teve reflexos sobre a evolução do conceito de ciência e delineou a criação e difusão de conhecimentos daí decorrentes como um fenômeno cuja compreensão requer um olhar interdisciplinar. Por meio de discussão teórica e revisão conceitual, o artigo, resultante de pesquisa de doutorado em andamento, objetiva discutir o campo da Gestão do Conhecimento Científico como uma síntese interdisciplinar formada pela Gestão do Conhecimento, Comunicação Científica e Comunicação Organizacional. O percurso seguido tem com resultados contribuições teóricas e epistemológicas voltadas a problematizar a neutralidade do campo científico, discutindo como teorias e pressupostos da Gestão do Conhecimento e da Comunicação desenvolveram-se como forma de otimizar processos produtivos nos moldes do capital e a evidenciar as interseções interdisciplinares entre os campos discutidos, a partir das suas compatibilidades, muitas vezes, latentes na literatura.