The Research Of The Mechanism And Technical Implementation Of Library Knowledge Ecologicalization Based On Co-evolutionary Theory

With the gradual deepening of the research on knowledge organization from thetheoretical perspective of information ecology, and the related studies onorganizational directions of library knowledge ecologicalization, the paper presentsthe development of a cross-evolutionary ecological theory, whose essence is therealization of the ecologicalization and sustainable development of knowledgeservices in library. It, based on the practices of library knowledge ecologicalizationand under the guidance of co-evolutionary philosophical ecology concept, employsthe correlated methods of computer science and life science, and conducts studies onthe principles and processes of knowledge ecologicalization within the environmentof digitalized library from multiple perspectives, thus promoting a comprehensivelibrary knowledge ecologicalization both in theory and in practice.Firstly, co-evolutionary theory is reviewed from three aspects: core concepts,basic theories and research advancement, definitions of key words are given, such asco-evolution, knowledge ecosystem, self-organized neural networks, and so on, andthe key concepts involved are to be redefined. Then, the bases of related concepts ofco-evolutionary theory would be discussed in detail, and its orgin and evolvement areto be researched while the internal relations of each theoretical basis analyzed. Afterthis, on the basis of the combing of co-evolutionary theory and the progression ofinquiries on co-evolutionary algorithm, its theoretical and algorithmic advancementsare evaluated. Summarizing and analyzing the focuses of relevant scholars andordering the exploration of co-evolutionary theory can, on the one hand, provide asolid theoretical foundation and methodology basis for follow-up studies, and on theother hand, provide a theoretical guidance and support in the actual process ofbuilding up the system. Subsequetly, the utilization of the reviews of co-evolutionarytheory makes the objectives of the reserach and the ensuing studies more explicit. Thepaper, using library knowledge ecologicalization as the research target, centers onreaders’ needs of knowledge services, and, by referring the related works ofco-evolutinary theory, it combines the ecological science and computer science toprobe into the feasibility and reality of library knowledge ecosystem and construct amodel of the ecosystem with a set of specific features of life. Several respects, such asbasic elements of composition, rationales, mechanisms, and means of achievementand so on, are deliberated in a comprehensive and targeted way, and its operationalmechanisms are further demonstrated, and the roles of knowledge ecosystem based onthe co-evolutionary theory played in the process of knowledge ecologicalization are expounded.Secondly, how to build up a model of library ecosystem centered on co-evolutionis inquired, and the theories of ecological system and co-evolution are combed.Through the analysis, evaluation and optimization of a variety of basic elements oflibrary ecosystem, the paper would improve the constitution of the system module. Onthe basis of constructing a logical structure model of ecosystem, it studies themorphology of each element, grouping methods, and ecologicalized operationalmechanisms, and dissects the features of co-evolution of quasi-living creatures indepth. As a more efficient knowledge provided for service objects, knowledge isrecreated, innovated, and appreciated. In the process of the coordination, interaction,and mutual promotion of each subsystem in ecological environment, it lays thefoundation for the accomplishment of library knowledge ecologicalization to presentlogicality for subsequent chapters. Bringing up the co-evolutionary theory in ecologyand defining the connotation of knowledge coevolution in library, it would scrutinizethe impact of competition and coordination on library knowledge evolution.Exploring its self-organized processes and mechanisms, it would clarify theknowledge co-evolution is through the association between knowledge elements inlibrary to promote common development of self-organized activities in knowledgecommunity. According to the intrinsic motivation of knowledge evolution, it revealsoperational mechanisms of knowledge co-evolution; therefore, knowledge populationcan achieve a comprehensive, coordinated and sustainable development during theprocess of ecologicalization.Thirdly, using the concept of co-evolution of biology, evolutionary theorycombing through the proposed co-evolution of the definition of library knowledge,that knowledge is the study of co-evolution of the elements associated with thecatalytic knowledge in the library of knowledge between communities based on theirown a common mechanism with other community development, and ultimatelyachieve the purpose of co-evolution. Analysis of the co-evolution of knowledge intwo modes, namely, self-organization and competition and complementarity. Themain way knowledge coevolution between competition and complementarity, inwhich the main form of knowledge ecosystem co-evolution of knowledge isself-organization, and thus, the use of correlation between knowledge communities,the ecological environment in the library, and aKnowledge can be affected by anindividual’s own evolution in which the knowledge communities and othercommunities of knowledge, whereas in other communities in the knowledge of the evolutionary process again in some way affect the course of individual developmentof knowledge, and ultimately promote the entire book Museum knowledge systems tooptimize development. The growth of the library as an organic life form, in the face ofthe knowledge needs of individual users, often adjust its data structures or clusteringmethods to accommodate user needs, and therefore, the depth of knowledge miningecological knowledge for library services provide a solid foundation of data, throughthe study of library knowledge mining process and related technology to providetheoretical and technical support for the self-organizing neural network is introducedto the library of knowledge aggregation to the efficient use of knowledge for thelibrary, in the analysis of self-organizing neural Library Knowledge aggregationnetwork model based on the combination of self-organizing neural network algorithmto complete the training of the neural network library knowledge, build evaluationfunction found knowledge cluster centers in the state of knowledge in a discretedistribution in real time indexing, closely related based on the realization of thelibrary resources and associated knowledge independent route aggregation.Finally, the ecological characteristics of knowledge involved in the process oftechnology were discussed, combing the meta data extraction, data mining technologyand the characteristics of self-organizing artificial neural network technology andother ecological technology, on the basis of in-depth study of the yuan data extractionprocess, how to make use of the relevant algorithms to help achieve the metadatalibrary of knowledge. Further analysis of how a large number of in-depth data miningmetadata to highly effective sequence of metadata neuronal tissue, it has the typicalcharacteristics of a living body, in order to achieve its individual or community ofco-evolution, by This from a technical level to achieve the co-evolution of the librarybuilding knowledge-based eco-technology roadmap. Using MATLAB software toolfor complete visual simulation library population ecology knowledge of the process,the process of co-evolution of knowledge for visual simulation library provides acomprehensive visual analog solution. Based on the above work, based on the Linuxcore system platform, using C++language to build a library of knowledge ecosystemprogram modules and virtualization technology into the library encapsulatesknowledge ecosystem building by building virtual library knowledge ecosystemmodel,demonstrated its encapsulation mechanism, implementation methodology andapplication advantages, ultimately, you can actually build a complete library ofsoftware systems ecological knowledge.In summary, this paper library knowledge of ecological processes for the study, in order to co-evolution theory-based, innovative services around the needs of libraryusers knowledge, combined with the related methods of ecology and computerscience, and a detailed discussion of the books feasibility and realistic knowledgeecosystem museum, in basic elements of composition, operation mechanism andmeans of achieving so comprehensive and targeted to explore in order to be able toexplain the complete theory of coevolution based library of knowledge in theknowledge ecosystem ecological processes and the role of the role.