Integration Of Knowledge Resources Research Articles

Development of a model and technology of access to documents in scientific and educational activities

The paper deals with general issues of organizing access to electronic documents in the framework of scientific and educational activities. Large volumes of already existing information, its continuous growth, the heterogeneous nature of storage and distribution, the lack of a unified way of working with it create many difficulties when using it. Awareness of these difficulties, qualitative changes in the field of information technology and telecommunications have led to the need to solve the problem of finding new approaches to the creation of repositories of information resources, their structure, and the development of tools necessary for users. Currently, such approaches are called “digital” or “electronic” libraries. According to the preliminary concept, an intelligent scientific and educational Internet resource will be an information system accessible via the Internet, providing systematization and integration of scientific knowledge, data, and information resources into a single information space, meaningful and effective access to them, as well as support for their use in solving various scientific and educational tasks. Another problem of the organization of effective information support for scientific and educational activities is that, due to its diversity and multidimensional nature, scientific and educational information resources are dispersed on remote pages of many sites and in distributed electronic libraries and archives. To solve this problem, it is necessary to solve the problem of bringing such resources related to one area of knowledge into a single information space, and also, no less important, to support their logical integrity. Without solving these two related tasks, it is impossible to solve the main task – to provide all participants of scientific and educational activities with meaningful access to integrated information resources and means of their analysis. The support of information systems in the field of scientific and educational activities is relevant, since the need for information always exists. In order to satisfy this need, it is necessary to organize access to various resources.

Strategic Management Model of Network Organization Based on Artificial Intelligence and Modular Enterprise Big Data

Modularization has been a research hotspot in recent years. Among these, there are two issues that many scholars pay attention to. First, we must know what factors cause modularization, and secondly, what impact modularization has brought to enterprises. The era of information technology background makes enterprises have to deal with more and more complex information. The integration and application of internal knowledge resources also force enterprises to adjust their structure, so that knowledge can spread and create value within the enterprise more effectively. This paper, based on artificial intelligence and modular enterprise big data, constructs a matching model of corporate strategy and performance management mode, determines four different matching methods based on corporate strategy and performance management mode, and puts forward corresponding assumptions. This article selects the participants of EMBA and MBA courses offered by several universities as the survey subjects. Most of them are enterprise managers, have many years of management practical experience, have a good understanding of the basic situation of the enterprise, and can truly understand the scale and make a choice based on the actual content. In this paper, a strategic management model based on artificial intelligence and modular enterprise big data construction proves that paired sample T test can be found, the data analysis is based on the various indicator scores of the enterprise modularity level, and the resulting P value is less than 0.05 as a significant difference, which proves that these two indicators are too quantitative. The company has not done relevant statistics, so it is difficult to make a practical answer. Through comparison and analysis, it is more likely to find the gap between the company’s financial strategy and its competitors, and then it is possible to make targeted improvements and upgrades.

Research on the construction mechanism of science and innovation corridor from the perspective of innovation chain

Based on the perspective of innovation chain, this paper takes Highway 128 and Guang-Shen Science and Technology Innovation Corridor as examples to explore the construction mechanism of science and technology innovation corridor. The findings are as follows: First, the corridor can be regarded as a virtual organization containing core nodes and auxiliary nodes. All nodes are not equal, and the core node plays the core function. Second, if the function of the core node is weakened, the science and innovation corridor will show a deterioration trend. Third, the construction of the science and innovation corridor is a process of the whole science and innovation chain from the flow and integration of knowledge resources, to the overflow of innovation incubation, and then to the market application. However, there are still problems in the chain, such as resource flow obstacles, innovation incubation breaks and structural imbalance. Therefore, in order to realize the benign interaction of multiple subjects in the science and innovation corridor, there needs to be a core subject that plays the role of agglomeration and diffusion, so as to realize the coordinated development of the corridor.

How value co-creation and co-destruction unfolds: a longitudinal perspective on dialogic engagement in health services interactions

Complex services, such as healthcare, struggle to realize the benefits of value co-creation due to the substantial challenges of managing such services over the long-term. Key to overcoming these challenges to value co-creation is a profound understanding of dialogue (i.e., ‘quality of discourse’ facilitating shared meaning) during service interactions. Contributing to an emerging literature, we undertake a longitudinal, ethnographic study to assess dialogue between professionals and patients through the lens of dialogic engagement (i.e., iterative mutual learning processes that bring about action through dialogue). We develop and empirically support six dialogic co-creation and co-destruction mechanisms that impact on the resolution of tensions and integration of knowledge resources between service providers and consumers. We reveal the multidimensional and dynamic nature of value created or destroyed through these mechanisms in dialogue over time. Taking healthcare as an exemplar, we offer a research agenda for developing our understanding of DE in complex services.

Improving polarity classification of bilingual parallel corpora combining machine learning and semantic orientation approaches

Polarity classification is one of the main tasks related to the opinion mining and sentiment analysis fields. The aim of this task is to classify opinions as positive or negative. There are two main approaches to carrying out polarity classification: machine learning and semantic orientation based on the integration of knowledge resources. In this study, we propose to combine both approaches using a voting system based on the majority rule. In this way, we attempt to improve the polarity classification of two parallel corpora such as the opinion corpus for Arabic (OCA) and the English version of the OCA (EVOCA). Several experiments have been performed to check the feasibility of the proposed method. The results show that the experiment that took into account both approaches in the voting system obtained the best performance. Moreover, it is also shown that the proposed method slightly improves the best results obtained using machine learning approaches solely over the OCA and the EVOCA separately. Therefore, we can conclude that the approach proposed here might be considered a good strategy for polarity detection when we work with bilingual parallel corpora.

A Knowledge Management Framework for Remote Maintenance

Plant maintenance is a critical role in the success of manufacturing enterprises. The concept of remote maintenance (or e-maintenance) n the industry refers to the integration of the information and communication technologies to service for plant maintenance remotely. Remote maintenance is characteristic of knowledge intensive and collaborative. To improve the efficiency of knowledge management and so as to improve the quality of remote maintenance work, a knowledge management framework was proposed. In the model, maintenance business ontology provides a common understanding for maintenance business to share information for knowledge management, and knowledge integration network describes the relationships among role knowledge, task knowledge and equipment knowledge, to achieve the integration of maintenance business and knowledge resources. At last, the paper illustrated the application of the proposed model. Results of this study can improve the level of knowledge management for remote maintenance.

Integration of Knowledge Resources in R&D Organizations

This article presents the process of design and implementation of a holistic knowledge management infrastructure for R&D organizations from human resources (HR) perspective. The approach addresses HR challenges such as support for an open and flexible organizational structure, support for managing the specific assets of an R&D organization, supports for analysis and reporting, both internally and towards research funding bodies, as well as integration into the semantic web community space. Using an illustrative case study of a concrete research intensive establishment, the Mihajlo Pupin Institute, this article shows how the latest semantic technologies (ontologies, SPARQL, Semantic Wiki) could be used on the top of the commercial SAP® Enterprise Resource Planning system and the open-source Alfresco Enterprise Content Management system in order to ensure meaningful search and retrieval of the expertise for inhouse users as well as the integration in European research space and beyond.

Developing and Managing a Virtual Knowledge Service for Health Professionals in England

The National electronic Library for Health (NeLH) is a service for health professionals working in the National Health Service (NHS) in England. The NeLH offers health professionals access to high quality accredited sources of evidence and know-how, with the aim of facilitating decision-making. The service, currently running as a pilot, is working to secure long-term funding and was scheduled to re-launch as a full service in early 2003. This article considers some of the issues involved in developing, delivering, and managing the service since its initial launch in November 2000. Partnerships have been developed with other knowledge services, in particular with NHS librarians, to encourage the integration of local and national knowledge resources. Support for librarians has been created, in the form of a Librarian Portal and a Librarian Development Programme. An area where this partnership approach has been particularly important relates to promotion and publicity, which is discussed in some detail.