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  1. Knowledge-based systems
  2. Discrete element model (DEM)
  3. QbD presentation
  4. Van der waals force
  5. Particle adhesion
  6. Process modeling
  7. Hamaker constants
  8. Roller compaction
  9. Particle-based computations
  10. Johanson's model
  11. Statistical model building
  12. Molecular modeling
  13. Dry granulation
  14. Visualization
  15. Excipients
  16. Database
  17. Active pharmaceutical ingredient (API)

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Abstract

Web Ontology Language (OWL), recommended by and based from Resource Description Framework (W3C), is used to define ontologies. OWL uses XML syntax to express semantics. OWL can formalize a domain by defining classes, properties of these classes, and relations between them. OWL can also define individuals and assert properties about them, and furthermore reason about these classes and individuals to the degree permitted by the formal semantics of the OWL language.

Using OWL, we have created the Purdue Ontology for Pharmaceutical Engineering (POPE), which is the first attempt to create a unifying ontology to address the informatics and modeling needs and challenges faced in pharmaceutical product development and manufacture.

The POPE framework has a strong relationship to the Semantic Web and is an implementation of the same concepts in the domain of pharmaceutical product development and manufacture. Within this framework, we have (1) identified the key components of this infrastructure and the technologies to implement them, (2) integrated the components into an infrastructure, and (3) demonstrated the feasibility of the proposed framework for the product formulation process.

Contributor Ann Christine Catlin
  • super-administrator
credits The LIPS Laboratory for Intelligent Processing Systems: Venkat Venkatasubramanian, Gintaras Reklaitis, Shuo-Huan Hsu, Chunhua Zhao, Girish Joglekar, Ankur Jain, Leaelaf Hailemariam,
Pradeep Suresh and Pavan Akkisetty.
Cite this work

Researchers should cite this work as follows:

  • Leaelaf Hailemariam; Venkat Venkatasubramanian; Shuo-Huan Hsu; Pradeep Suresh (2008), "Purdue Ontology for Pharmaceutical Engineering ," http://pharmahub.org/resources/82.

    BibTex | EndNote

Tags
  1. Knowledge-based systems
  2. Product development
  3. Product formulation

In This Series

  1. Ontological Informatics Infrastructure: An Overview

    23 Jan 2008 | Online Presentations | Contributor(s): Venkat Venkatasubramanian, Rex Reklaitis, Leaelaf Hailemariam, Pradeep Suresh

    Pharmaceutical product development involves managing a large amount of information and knowledge in different formats. Ontological informatics is used to represent and integrate the information and knowledge and support product development applications.Venkat Venkatasubramanian,Chunhua Zhao, Girish …

  2. Information Representation in POPE

    23 Jan 2008 | Online Presentations | Contributor(s): Venkat Venkatasubramanian, Leaelaf Hailemariam, Rex Reklaitis, Pradeep Suresh

    The development of a pharmaceutical product requires the collection of information during pre-formulation studies, product formulation, process development, scaleup and manufacturing. A large amount of information of different types, ranging from raw data to lab reports to sophisticated math …

  3. Navigating the POPE Ontology

    21 Jan 2008 | Publications | Contributor(s): Leaelaf Hailemariam, Venkat Venkatasubramanian

    What knowledge is included in POPE? There are three knowledge components: guideline knowledge, mathematical knowledge and information representations. The guideline knowledge component includes representations of actions and decisions. The mathematical knowledge component includes descriptions of …