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KNOWLEDGE PORTAL, References Aulawi, H., Ramdhani, M. A., Slamet, C.,…

- - - - by structuring metainformation for the underlying repositories and networks
    - - enhancing knowledge retrieval, storage and
        transfer processes
  - - - to store, index, and synthesize
        knowledge artifacts
  - - - represents an essential functionality for the knowledge retrieval process
  - - - such as multi-repository support, process and web
        service applications
  - - - enabling direct transfer of knowledge
- - - - who are less motivated after sharing their knowledge
  - - - including rules, practices, behaviors, values, preferences, and attitudes
- - - - adopted from this KMS
    - - adopted from this KMS' architecture
    - - is a web-based application
    - - firewall and authentication are required
    - - a webserver required for storing data
        
        e.g. MySQL application
    - - use TCP/IP to transmit data in the transport layer
        
        data: text, picture, audio and video
    - - bridging between other applications
    - - for storing store settings, comments or discussion and a list of users and their access rights
  - - - saving time in decision making and problem solving
      - acquiring new skills
      - keeping up to date
      - providing challenges and opportunities
    - - Developing professional skill
      - Promoting peer-to-peer mentoring
      - encouraging networking, and collaboration
- - - - display urgent news in the
        area-spot in the main page
    - - documents categorized according to some topical categories
        
        identified by user profile
      - visualized documents (e.g., id, date, authors, etc.)
    - - increase usability
      - main features
        
        QueryCloud
        
        storing all the past user queries and shows only
        the most searched query terms
        
        Tag
        
        summarizing the content of each document
        
        selecting one more more tags to filter the documents
        
        Category
        
        identifying the categories of each document.
        
        Liked/Not-Liked Documents
        
        capture the user preferencing on search results ranked after the evaluation of the search engine
        
        Reranking
        
        reranking the documents obtained from the search engine
      - example
  - - - workflow
      - User Profile
    - - related to User Profile
        
        General Information
        
        Search History
        
        Preferences
        
        Groups
        and Roles
      - related to Content
        
        General metadata
        
        Tags
        
        Groups
        
        status
        
        Categories
  - - - e.g.
        
        Web clients
        
        Application Services
        
        CRM (Customer Relationships Management)