Knowledge base is the main object of TFS IRP system, which is responsible for organizing and managing knowledge. You can create different knowledge bases for enterprises according to your own needs. TFS IRP system supports the existence of multiple knowledge bases at the same time. Knowledge of workflow engine-driven life cycle management supporting visualization. Support custom approval business rules, combined with workflow rapid approval knowledge. WebService and API interface that support knowledge exchange with various business systems, support knowledge scoring, evaluation, collection and forwarding, and use group wisdom to mine classical knowledge. Expert system:

As the carrier of enterprise's intellectual resources, experts concentrate the experience and wisdom of enterprises, explore and use the experience and wisdom of experts, and better complete the transfer and transformation of knowledge.

Users can find the experts in the system through the expert system and ask the experts point-to-point questions.

Question answering system:

A good question is better than a good answer. Users can ask questions in their daily work and life through the question-and-answer system. Other users can answer questions through the question answering system or directly ask experts questions. After logging into the system, expert users can directly answer and deal with questions in the question-and-answer system.

Project management system:

The completion of every job is inseparable from the cooperation of the team. How to record and summarize a small amount of information and knowledge generated in cooperation is a problem to be solved by the project management system.

In project management, you can manage the whole project cycle, create, authorize, record project dynamics, assign tasks, summarize project documents and so on. , comprehensively record and summarize the project process.

Weibo system

Weibo system allows users to record their daily knowledge, forward and comment on other people's knowledge, and let knowledge flow in the organization.

Socialized communication system

Use socialization as a means to make the information flow move through socialization! Socialization can speed up the flow of information, and at the same time, paying attention to relationships can transfer appropriate knowledge to those in need. In IRP, everything is Weibo, and every business action will be automatically transmitted in the way of Weibo.

Full-text retrieval system

Full-text search server based on solr and word segmentation system.

Intelligent recommendation system

According to the user's browsing trajectory, collection behavior, retrieval behavior, attention behavior, knowledge level and other information, the system automatically recommends the most relevant knowledge to users.

Statistical ranking system

The system can count user information, login information, browsing information, knowledge, comments, attention and other information, and the system provides corresponding report information to interpret the system operation data.

Intelligent association system

The system can automatically manage the association between them according to the knowledge-related information.

LOTUS knowledge management system

Focusing on the three elements of knowledge management, namely "people, places and events", IBM/LOTUS has established an expert network and content management to facilitate users and employees to acquire the required knowledge, establish an enterprise community for employees to enjoy knowledge and cooperate with each other, carry out enterprise training, and help employees learn independently, thus improving the overall quality of enterprises. IBM/LOTUS put forward a knowledge management framework, which can be divided into enterprise application integration layer, collaborative work/discovery layer, knowledge management application layer and knowledge portal layer, and each layer focuses on the knowledge management technologies and tools it uses.

The technical tools involved in the framework of knowledge management system proposed by LOTUS include document management technology, groupware technology, LOTUSNOTES, LOTUSKstation, LOTUSDiscouveryServer and IBMDomino. Among them, LOTUSKstation is a knowledge portal server with knowledge management function, and LOTUSDiscouveryServer is a knowledge discovery server. Together with IBMDomino server, the KnowledgeDiscoverySystem of LOTUS is composed of the two * * *, which provides the most powerful knowledge management solution in the market at present.

Knowledge Management System of Siemens Company

Although the leading enterprises in knowledge management are mostly software and consulting companies, Siemens, as a representative of traditional enterprises, realized the goal of improving the core competitiveness of the company as a whole by constructing and using a knowledge management system suitable for its own development as early as 1997. Siemens' knowledge management system is divided into two parts: the internal part and the external part. The external part mainly involves the daily external activities, venues and subjects of the enterprise. Internally, it can be divided into three categories: strategy and evaluation, operation and support structure.

Specifically, it includes formulating business strategy with knowledge as company assets, cultivating mutual trust knowledge sharing culture and knowledge organization, establishing knowledge market, establishing knowledge assets, determining knowledge content and structure, establishing knowledge measurement system and establishing evaluation system and model, cultivating knowledge workers, and adopting knowledge technology to make new knowledge behaviors possible and drive their emergence. The whole framework communicates internally and externally through information, best practices and research, and experience feedback. In addition to common technologies such as communication network, document management and groupware technology, the most important thing for Siemens is to adopt portal technology. In an integrated portal, employees can exchange and * * * enjoy knowledge with permission, and obtain the required knowledge by searching for obstacles across different departments.

Knowledge Management System of Wanbao Company

Domestic enterprises that build knowledge management systems have different views on the structure of knowledge management systems. As the first drinker of knowledge management in China, Wanbao Company also has its own unique views on the construction of enterprise knowledge management system: enterprises should first realize that knowledge is the intangible assets and wealth of enterprises, and only through knowledge management, using technology to fully combine people and information, create a culture of knowledge sharing, and accelerate people's learning, creation and application of knowledge can they achieve their organizational goals and thus improve their core competitiveness. The knowledge management system put forward by Wanbao Company is based on strengthening personnel exchange, interaction and cooperation and a good organizational and cultural environment, and establishes the enterprise's knowledge network through knowledge map, community operation mode, knowledge sharing culture and behavior norms.

In foreign countries, knowledge management systems have been successfully implemented in many enterprises, especially in consulting, manufacturing, IT and other industries. Different industries have different emphasis on knowledge management system: when designing the knowledge management system architecture, consulting industry needs to systematically and comprehensively consider how local innovation forces accumulate, how to transfer to applications, how to innovate in applications, how to form a virtuous circle, and so on. Therefore, most of them focus on the whole and focus on overcoming the process obstacles and cultural obstacles existing in enterprises. The knowledge management system of manufacturing industry is mainly used for integrated design, management and operation, focusing on the diversity, synchronization, production management, quality management and structural positioning of integrated design to meet the needs of product and business innovation in the global manufacturing competitive environment, so its knowledge management system emphasizes technical support. The knowledge management system of IT industry emphasizes the application of IT technology, and uses online system to realize the collation, retrieval, sharing and transmission of knowledge, thus improving the work efficiency and adaptability of enterprises. Knowledge-based organizations, such as knowledge management systems in universities, emphasize the development, accumulation and innovation of knowledge, make full use of knowledge management techniques and skills, reduce costs and improve academic and management services, and become the carrier of knowledge management activities in economic and social diffusion, thus creating conditions for the promotion of knowledge management.

In China, the research on knowledge management system focuses on theory, and enterprises that successfully implement knowledge management system can be divided into consulting, manufacturing and IT industries. Most foreign consulting companies in China implement the knowledge management system model of the head office to realize employee training, meet and innovate customer needs and increase entrepreneurial value; As the main body of the national economy, the knowledge management system of manufacturing industry is an improvement of the original information management system, focusing on the effective management of enterprise resources and activities. IT enterprises generally attach importance to the structure of knowledge management, and have advanced knowledge management technologies and tools, but few enterprises have made special investment and achieved results.

By comparing IBMLOTUS, Siemens and Lanling, and investigating many cases of knowledge management systems, we can easily see that:

(1) In terms of target determination and construction of knowledge management systems, knowledge management systems developed abroad have clear construction concepts, knowledge management objectives, powerful knowledge management systems and advanced IT technical support; However, the domestic knowledge management system lacks its own construction concept, and focuses on developing knowledge management software tools to achieve knowledge management goals.

(2) In the operation of the knowledge management system, foreign enterprises integrate the knowledge management system with the overall strategy of the enterprise, and on the basis of formulating the incentive mechanism and cultivating the * * * enjoyment culture, choose the appropriate technical tools for system construction and implementation, so as to finally realize the goal of knowledge management; However, domestic enterprises often lack the formulation of enterprise system and the cultivation of enterprise culture, and are eager to build hardware and develop software, which will inevitably greatly reduce the implementation effect.

Kmpro knowledge management system in deep blue sea area

Basic introduction of kmpro knowledge system

KMPRO knowledge management platform is a software system independently developed by Deep Blue Sea Company for five years. Based on B/S architecture, KM Pro knowledge management platform can quickly analyze enterprise knowledge structure, classify and store knowledge data, enjoy knowledge application, improve enterprise management efficiency, increase enterprise knowledge assets and enhance enterprise core competitiveness.

Kmpro knowledge management system (3.0) combines the actual needs of domestic enterprises, builds a knowledge management platform, realizes accurate storage, version, authority, enjoyment, training and reuse of knowledge, prolongs the life cycle of knowledge, creatively realizes the K-map of organization and people, clarifies the relationship between knowledge and people, posts and workflows, and promotes people's application of knowledge. The introduction of self-learning, online training, integral incentive, expert question and answer, report management, decision support and other auxiliary technology systems in knowledge management has promoted the application of knowledge management in key business fields.

Kmpro knowledge management system is one of the most widely used knowledge management platforms. Based on Internet architecture, it is a software platform to enhance the core competitiveness of enterprises. After trial, we believe that the platform has the following advantages:

Kmpro knowledge management platform is supported by five core concepts accumulated and created by Deep Blue Company in its knowledge management practice for many years:

1) The concept of five modes in the cognitive world: building a knowledge acquisition mode of "classification, search, interpersonal, recommendation and association".

2) The concept of the whole life cycle of knowledge management: from knowledge demand, production, evaluation, enjoyment, digestion, application, innovation, life and health to 13.

3) Multi-dimensional knowledge map concept: support multi-dimensional and multi-angle establishment of enterprise knowledge map.

4) The concept of knowledge cloud: supporting knowledge precipitation and knowledge feedback of multi-channel and multi-IT systems.

5) Dual-track implementation concept: from the perspective of IT and management, dual-track implementation complements each other. Kmpro covers the whole process of knowledge management, and realizes 1 1 module and 150 function points such as "knowledge demand (map), knowledge production, knowledge evaluation, knowledge acquisition, knowledge interaction, knowledge encouragement and knowledge audit". It can be said that kmpro is the most powerful platform of its kind, and the one-time satisfaction rate of platform users is over 90%, and it can be applied online with a small amount of customized development.

The technical route of kmpro system is to adapt to the complex heterogeneous environment of enterprises, develop with JAVA technology, adapt to Unix, Linux, Windows and other operating systems, and support many common databases such as Oracle, SqlServer, DB2 and Mysql.

The system has been successfully applied in banking, finance, manufacturing, consulting, fast-moving consumer goods, automobile industry, tourism and other fields. , the operation effect is good, widely praised by customers.

Kmpro knowledge management platform in deep blue sea area, relying on its strong R&D strength in the field of knowledge application, is close to the user demand rate, which will generally reach more than 80%.

Thoughts on kmpro knowledge management system

KMpro knowledge management platform puts forward its own world view of IT system. For the knowledge management system, Deep Blue Sea has deeply studied the knowledge management theory. Combining with the actual needs of users and personal product practice, we define the core point of KMpro knowledge management system as "classification+search+people+application+consultation", which is our IT worldview on the knowledge management system.

Classification refers to the classification of knowledge, so as to quickly and accurately define the classification of knowledge and let users obtain what they need. Although classification is the oldest way of working, it is also one of the most effective ways. KMpro knowledge management platform innovatively puts forward "multi-dimensional knowledge classification and intelligent knowledge classification", and puts forward a series of classification models and standards for the classification system, which pushes the knowledge classification system to a new height.

Search refers to finding the knowledge users need quickly and accurately through search engines. Aiming at the field of knowledge management, Deep Blue Sea puts forward the concept of "knowledge search engine" and develops cicada knowledge search engine, which not only ensures that the system can obtain fast and accurate results through full-text search, but also realizes the query of various database fields such as time, source and praise in combination with database search. The combination of the two makes the search results more in line with users' search demands.

People are the collection of all users who participate in the process of knowledge management. Different users have different roles and permissions and face different knowledge. KMpro knowledge management emphasizes that people and positions in the organization should participate in the process of knowledge construction and application, forming an expert map. Knowledge is produced and operated around people's application. It is an important viewpoint of KMpro knowledge management system to emphasize user participation, knowledge and knowledge, knowledge and people, and interaction between people.

Application refers to the function that the system provides users with to use and effectively process knowledge. The richer this function is, the closer it is to users, and the more efficient it will be. KMpro knowledge management system pays special attention to refining users' needs, and develops a series of application functions such as knowledge quiz, training examination, knowledge association diagram and manpower diagram. After investigation, the one-time satisfaction rate of system functions reaches over 80%, and only a small amount of customized development can meet the online needs of users.

Of course, the implementation process of consulting and knowledge management is not only as simple as an IT system going online, but also needs the guidance of professional theory and practical experience to avoid detours.

KMpro not only helps customers to complete the system construction, but also establishes a set of operation mechanism and system. In addition to providing system technical services, Deep Blue Sea can also provide all-round project landing services, including consulting services in every key link, such as "knowledge demand analysis, knowledge classification, knowledge standards, knowledge application, knowledge management system, knowledge organization structure and system online training", emphasizing not only building the system from a technical perspective, but also helping customers to operate and use the system well.

"Classification+search+crowd+application+consultation" is the core view of KMpro. "Classified search" solves the problem of how to realize it technically, "People and application" solves the problem of what knowledge management does, and "consultation" solves the auxiliary problem of project implementation experience. The five-in-one combination makes KMpro not only a software system, but also a perfect solution for knowledge management.

Kmpro system adheres to the corporate mission of "managing knowledge", and is committed to promoting the introduction of knowledge management concepts, system research and development, software implementation and knowledge wealth management and appreciation, providing customers with safe, easy-to-use and professional Kmpro knowledge management software, combing knowledge maps, integrating scattered knowledge channels, gathering knowledge assets, establishing a clear knowledge management system, and effectively avoiding the loss of knowledge wealth. Creatively put forward the knowledge management mode of "treasure chest" and "garbage bin", which transformed knowledge management from slogan and concept into actual daily work and provided customers with all-round services of knowledge management in a down-to-earth manner.

Knowledge management system 3.0

It is reported that on the basis of kmpro2.0, Deep Blue Sea Company has launched a more powerful kmpro3.0 system. The 10 life cycle process J of knowledge management, such as knowledge demand, knowledge production, knowledge audit, knowledge acquisition, knowledge interaction, knowledge transfer, knowledge incentive, knowledge audit, knowledge security and knowledge application, has been upgraded comprehensively. KM system with more powerful functions and higher degree of production is a cost-effective choice for enterprise-level knowledge management users.

Knowledge management system 2.0 function

1. Strong unstructured knowledge processing ability. A large number of existing documents and historical knowledge belong to unstructured documents, which need to be imported and managed quickly, and the full text and attachments can be retrieved.

2. Structured knowledge processing ability. Structured data generated in daily work can be customized and published as knowledge, and search engines can conduct full-text retrieval of structured knowledge.

3. Check the management system. It can realize the comprehensive application of consulting business in the operation process.

4. Convenient call guidance response application. The steps of problem decomposition can be customized, the relationship between sub-questions can be related, and the answers to questions can be preset, which provides a convenient tool for effectively using the existing knowledge in the knowledge base.

5. Improve the sub-module of document and content management. Supporting knowledge management requires data analysis, batch import and version management, and establishes process definitions such as knowledge release, management, application and audit processing.

6. Authority management system. You can define the user's role and set the permissions of the role. Different users have different permissions to ensure the file security of the system.

7. Free setting of knowledge dimension. Support authorized users to set their own department or department knowledge structure.

8. Personal knowledge portal. Support the establishment of personal knowledge structure, knowledge collection, knowledge collection and personal training plan for each user, which is convenient for the inheritance and management of post knowledge.

9. Knowledge map. Support the global preview of knowledge maps of enterprise knowledge structure and knowledge maps of different positions with different knowledge structures.

10. knowledge training. Support to select knowledge from the knowledge base and train certain users.

1 1. Knowledge statistics function. Support statistical representation of inventory and knowledge base utilization.

12. Version management. "Support Knowledge" records the version history since its release, and can query each modified version.

13.elearning, a training and examination system based on knowledge base.

14. talent pool management. Support knowledge management by classifying experts. After finding the expert, the system locates the knowledge released by the expert.

A comprehensive and accurate knowledge search engine.

1. supports the search of knowledge titles, texts and keyword attachment file names.

2. Support the search of attachment document content.

3. Support the combined keyword search of full text and attachments.

4. Support the relevance of search results and the ranking of knowledge access rate.

5. Support the binding of search engines and dimensions, and conduct keyword search within dimensions.

6. Through the combined keyword test, the hit probability of the required knowledge in the text search results is above 98%, and the hit probability in the attachment search results is above 95%.

7. After a single set of keyword tests, the hit probability of the required knowledge in text search results is above 98%, and the hit probability in attachment search results is above 95%.

8. Support the search function of tags in knowledge content, and search for knowledge with similar topics according to tags.

1), a basic platform with the core idea of solving users' practical problems, with the core of classification, search and authority separation, and with the definition of user personalized knowledge application rules, quickly solve the difficulties of user knowledge management;

2), high efficiency, high stability, high expansibility and integration, Jingwheeled event trigger management can provide personalized functional event combination on a stable and efficient basic platform;

3) Mature system implementation experience and practical experience in government, telecom operators, finance, production enterprises and other industries to build excellent system implementation and project management teams;

4) Stable system infrastructure, supporting large-scale users, massive data and multiple system clusters.

Knowledge asset map: Through the map model, the knowledge system of the enterprise, the knowledge structure of each department and the knowledge content of each position are defined, and the knowledge capital of the enterprise is evaluated, so that the enterprise can operate more orderly, the efficiency is greatly improved and the performance is continuously increased.

Automatic storage of knowledge: audio-visual materials such as pictures, company history, team activities and corporate culture are filed in different categories, and can be extracted and used at any time, completely solving the embarrassment that the materials are stored in disorder and cannot be found when used.

Knowledge query and call: When you write a new work plan, you can always find similar documents from the past. Complex documents are quickly formed and applied to business.

Knowledge version management: documents have version records from the first draft to the last version, which can be consulted.

Knowledge Q&A: Based on the knowledge base, establish the learning plans of various departments and posts, recharge themselves, and become a "learning team" through interactive learning on the platform.

Corporate culture accumulation: completely retain the data and experience accumulated by the company, record the company's development, bit by bit records, high-level speeches, employee activities, and establish a complete cultural system.

Intelligent learning plan: new employees join the job, accept the learning plan based on knowledge base, quickly understand the business through the training exchange platform and enter the working state. Based on the knowledge base, the study plan of each department and post is established, and self-charging becomes a "learning team".

R&D achievements accumulation: R&D achievements are put into storage, and the technical team makes full use of the company's technical accumulation to avoid starting from scratch forever, and the development speed is obviously accelerated.

Key employee knowledge: set and manage the knowledge resources of key positions and core employees, and all their work skills, planning and copywriting, work experience, work records and relationship resources are saved by the system, and people will leave without skills.

Remote collaboration: through the Internet knowledge platform, we can synchronize the knowledge content of all branches, improve the ability of remote collaboration, and improve the operational efficiency of enterprises.

Simple and easy-to-use publishing interface

All users can use the knowledge acquisition system based on Web interface, and they can use the system as long as they have a little basic knowledge of computer use.

Unlimited level column settings

The knowledge platform provides an infinite level of directory structure design, which can adapt to all kinds of complex knowledge classification requirements.

WYSIWYG editor

The knowledge platform provides a WYSIWYG editor, which supports pasting directly from Word to WYSIWYG editor.

File management function

Built-in powerful document tree management mechanism to clearly record the use of documents.

Support multiple sources of information

Data in different formats (HTML/Word/TXT/PDF, etc. ) can be stored in the same system, and consistent indexes and associations can be established.

Large capacity and large transmission storage

Through technical means, the problems of large amount of file data and difficult transmission in knowledge management are solved.

Knowledge search engine:

The information retrieval technology of enterprise massive data search engine is the core technology of knowledge management.

The knowledge platform provides an advanced and efficient search engine for massive data. Users are allowed to carry out full-text retrieval and feature retrieval in massive data and various data formats, and advanced search functions such as keyword retrieval and conditional search are supported.

Knowledge platform, providing selection based on document format, distinguishing different file formats, and retrieving the type you need.

User and role management

Set and manage permissions for system administrators and ordinary users.

System backup and recovery

The knowledge management platform has created automatic and manual backup mechanisms to ensure the security of knowledge management and avoid knowledge disasters through data backup.

Database backup file names are saved by date and time. When restoring, just select the backup file.

Yi Rong knowledge management system

The knowledge management system of Fujian Yi Rong Information Technology Co., Ltd. is an enterprise-level knowledge management system solution integrating knowledge strategy, organizational process, knowledge navigation, knowledge community and knowledge center, which provides a perfect knowledge management support platform for enterprises. The system adopts standard J2EE technology architecture, based on B/S structure, and combines the advantages of SOA to improve the advanced nature, compatibility and platform independence of the system. The platform adopts Documentum platform, the world's leading content management platform, to realize the life cycle management of content storage and knowledge; Using the autonomy of enterprise search engine to realize full-text retrieval and intelligent service of knowledge.

System function

Knowledge management system is the basic platform of enterprise knowledge management, which realizes knowledge integration and knowledge integration including all application systems in the enterprise. It also provides a unified knowledge interface for different application systems, realizes the import, export and push of knowledge, realizes the cross-system and cross-regional sharing and application of knowledge, makes knowledge actively participate in various business application fields of enterprises, and enhances the value of knowledge. The system mainly includes knowledge center, knowledge map, expert yellow pages, question and answer, virtual team, MySpace, knowledge statistics, knowledge retrieval and other functions and the basic components of system management.

1 knowledge center: the knowledge center is the main repository of enterprise knowledge documents. It manages and precipitates enterprise knowledge through the multi-dimensional classification function provided by the system, and promotes knowledge sharing through the evaluation and recommendation mechanism.

2 Knowledge Map: Knowledge Map can organize the documents stored in the "Knowledge Center" in a way specified by users, which is convenient for users to browse knowledge according to specific topics, including knowledge maps created manually by users and knowledge collections formed by automatic clustering of the system.

3 Expert Yellow Pages: Any employee with special skills in a certain field can apply to become an expert. Users can find experts, view expert information, feel the online status of experts and contact experts in the "Expert Yellow Pages".

4 You ask me and answer: You ask me and answer, which promotes the knowledge exchange among employees. While using knowledge to solve problems, tacit knowledge is transformed into explicit knowledge, forming knowledge precipitation.

5 Virtual team: Virtual team supports inter-departmental communication among employees within the enterprise. Employees can freely form virtual teams according to their own interests, job functions or temporary tasks, and complete activities such as knowledge exchange, learning and training, knowledge innovation and collaborative work within the team.

My space: "My space" is the place where users can view personal data, manage personal knowledge and handle various knowledge management affairs.

Full-text retrieval: Full-text retrieval is a supplement to the retrieval functions of each module, and the retrieval contents include knowledge center, knowledge map, expert yellow pages and other system knowledge. It should include relevance sorting, ascending and descending date sorting, recording users' search behavior, supporting search navigation, and allowing users to find the desired results.

8 knowledge statistics: statistical analysis of the effect of enterprise knowledge management, and release decision-making statements.

9 System management: System management is the place where IT system administrators initialize and configure knowledge management systems and maintain IT systems. Functions include: group organization structure management, user management and system global configuration.

System characteristics

Enterprise-level knowledge management is an information-based activity, which creates explicit and tacit knowledge through organizational learning and is responsible for how to have the right knowledge at the right time and place. This can help every enterprise member to enjoy information, and then put it into practice in different ways, and finally achieve the goal of improving organizational performance. Let enterprise-level knowledge management system and its knowledge base become the infrastructure for further development of enterprises and the expert support system for enterprise decision-making.

Yi Rong information enterprise-level knowledge management system has the following characteristics:

● Flexible role and authority allocation: support the design of knowledge management organizational structure of different enterprises, and form a long-term management mechanism of knowledge management.

● Unified knowledge catalogue, multi-dimensional universal attributes and exclusive attributes: support multi-dimensional display of knowledge resources and facilitate knowledge acquisition.

● Personalized knowledge portal and personalized knowledge tree: provide the right knowledge for the right people at the right time.

● Rich knowledge maps and thematic knowledge operation services: promote employees to acquire knowledge, learn knowledge and apply knowledge, and give full play to the value of knowledge.

● Diversified knowledge community applications: expert yellow pages, questions and answers, virtual teams, tutors, expert blogs, etc.

● Powerful knowledge statistics and knowledge integration mechanism: Promote the popularization and deepening application of knowledge management in organizations by encouraging various knowledge behaviors.

● Comprehensive knowledge management process: the process of fully supporting knowledge acquisition, knowledge enjoyment, knowledge application and knowledge innovation.