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