Decision making ontology

  • How does ontology work?

    An ontology is a formal description of knowledge as a set of concepts within a domain and the relationships that hold between them.
    It ensures a common understanding of information and makes explicit domain assumptions thus allowing organizations to make better sense of their data..

  • What are some examples of ontology?

    “Does God exist?,” “Are my feelings real?”, “What is 'nothing,' and does it exist?” are all examples of ontological questions..

  • What are the 5 elements of ontology?

    The formalization of Knowledge in ontologies is based on five components: classes, instances, relations, functions, axi- oms and instances [1]..

  • What is the ontology of decision making?

    In other words, by relying on such ontology, one is able to determine what are the alternatives (value bearers), how they were valued, what are the applied criteria, who is capable of executing the action resulting from the decision, and so on..

  • Ontology-based data integration involves the use of one or more ontologies to effectively combine data or information from multiple heterogeneous sources.
    It is one of the multiple data integration approaches and may be classified as Global-As-View (GAV).
This chapter presents the benefits of using ontologies in decision-making and how to achieve them.
What is a Decision Ontology? The Decision Ontology (DO) provides basic means for describing decisions and decision-making. It is formalized in the Web Ontology Language (OWL) and can be accessed at here.

How can ontologies be analyzed?

Currently, researchers emphasize not only ontology development, but also ontology analysis.
As more ontologies are generated and reused, more tools will be available to analyze ontologies.
For example, Chimaera (McGuinness et al. 2000) provides diagnostic tools for analyzing ontologies.

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How does conceptual reasoning change in process ontology?

As we move from linear to parallel to recursive to conjunctive styles, conceptual reasoning becomes more deeply embedded in process ontology, while the standard structuring devices such as:

  1. diagrams
  2. tables and propositions traditionally employed in conceptual articles appear less useful
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What is a strong process ontological perspective?

While the first may indeed incorporate the notion of change and evolution of time, it views processes as ‘happening to things’ that nevertheless retain their unique identity over time.
In contrast, from a ‘strong’ process ontological perspective, process is viewed as all encompassing:

  1. things are seen as momentary instantiations of processes
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Why should MDM ontologies be formal?

The ontologies should be formal to represent the MDM information and their interrelationships, i.e., multidisciplinary DMs, heterogeneous DC sets, given DAs, and predicted SPIs.


Categories

Decision making into
Decision makers opposite of con
Decision maker opposite
Decision making process opposite
Opposite of decision-making
Decision making antonyms
Decision antonyms
Decision making external factors
Decision making external influence
Decision making thinking outside the box
Delaying decision making
Change of decision or direction
Decision to make or take
Decision making overload
Decision making oversight
Decision making overview
Decision making oversight lumen learning
Decision making overcome
Economic decision making overview
Decision making is overwhelming