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CTG helps clients stay competitive by managing their life sciences knowledge capital. With our boutique consulting and technology services, companies efficiently access both the knowledge created by their own organizations and the pertinent available research from outside their organizations. Effective knowledge management is critical to deriving all possible benefits from an organization’s research—as well as the research of others—and reducing both development time and costs. 

 

CTG’s solutions combine sophisticated proprietary software tools for knowledge management in life sciences applications with our leading-edge consultants from the areas of ontology design, computer science, and life sciences development. CTG’s knowledge-based methodology provides:

Subject Matter Expertise Capture

  • Captures and uses information that is integral to understanding a given domain or enterprise
     

Consistent Semantic Framework

  • Develops a common vocabulary of terms and concepts pertinent to an organization or domain of interest
     

Rapid Data Ingest

  • Quickly incorporates structured or unstructured transactional or warehoused data within a targeted domain of interest to provide advanced reasoning capabilities
     

Auto-Classification

  • Effectively and rapidly classifies ingested data into relevant categories based on domain and industry standards
     

Querying

  • Rapidly finds pertinent items and relationships within the ontology’s knowledge base

The Semantic Web Technologies Approach

CTG uses semantic web technologies to implement our knowledge management solutions. In addition to managing the client’s internal knowledge capital, we leverage web-based resources to allow for rapid integration of knowledge from outside sources. This extends the capabilities of an organization by allowing it to connect to and use existing external knowledge pertinent to its own research endeavors, while protecting vitally sensitive internal information. 

 

CTG’s semantic web tools include:

 

Customized RSS feeds: Use rapidly updated streaming feeds of information to cumulatively build and enhance the knowledge base over time
 

 

Storage of customized research results: Parse and store results from web-based research as new items or relations within the ontology

 

Geographic modeling: Provide visualization/mapping tools to represent geo-spatial data

 

Web-based domain ontologies: Merge various open source and/or proprietary ontologies to capture knowledge from a variety of domains.

 

CTG has designed knowledge management solutions for a variety of domains with wide-ranging resources. Although a successful knowledge management system requires client data inputs and subject matter interaction, we respect our clients’ time and resources while implementing the system and work diligently to:

 

  • Provide a list of requirements and schedules for adequate client planning
  • Analyze and leverage existing artifacts to reduce dependency on client personnel
  • Provide high-level analysis to assist with client integration decisions
  • Create a collaborative environment with client IT professionals and subject matter experts
  • Adjust project schedules to accommodate client business needs
  Knowledge Management Service Profile
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