Applied ontology

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Applied ontology is the application of Ontology for practical purposes. This can involve employing ontological methods or resources to specific domains, [1] such as management, relationships, biomedicine, information science or geography. [2] [3] Alternatively, applied ontology can aim more generally at developing improved methodologies for recording and organizing knowledge. [4]

Contents

Much[ quantify ] work in applied ontology is carried out within the framework of the Semantic Web. [5] [6] Ontologies can structure data and add useful semantic content to it, such as definitions of classes and relations between entities, including subclass relations. The semantic web makes use of languages designed to allow for ontological content, including the Resource Description Framework (RDF) and the Web Ontology Language (OWL).

Applying ontology to relationships

The challenge of applying ontology is ontology's emphasis on a world view orthogonal to epistemology. The emphasis is on being rather than on doing (as implied by "applied") or on knowing. This is explored by philosophers and pragmatists like Fernando Flores and Martin Heidegger.

One way in which that emphasis plays out is in the concept of "speech acts": acts of promising, ordering, apologizing, requesting, inviting or sharing. The study of these acts from an ontological perspective is one of the driving forces behind relationship-oriented applied ontology. [7] This can involve concepts championed by ordinary language philosophers like Ludwig Wittgenstein.

Applying ontology can also involve looking at the relationship between a person's world and that person's actions. The context or clearing is highly influenced by the being of the subject or the field of being itself. This view is highly influenced by the philosophy of phenomenology, [8] the works of Heidegger, and others. [9] [10]

Ontological perspectives

Social scientists adopt a number of approaches to ontology. [11] Some of these are: [12]

  1. Realism - the idea that facts are "out there" just waiting to be discovered;
  2. Empiricism - the idea that we can observe the world and evaluate those observations in relation to facts;
  3. Positivism - which focuses on the observations themselves, attending more to claims about facts than to facts themselves;
  4. Grounded theory - which seeks to derive theories from facts;
  5. Engaged theory - which moves across different levels of interpretation, linking different empirical questions to ontological understandings; [13]
  6. Postmodernism - which regards facts as fluid and elusive, and recommends focusing only on observational claims.

Data Ontology

Ontologies can be used for structuring data in a machine-readable manner. [14] In this context, an ontology is a controlled vocabulary of classes that can be placed in hierarchical relations with each other. [15] These classes can represent entities in the real world which data is about. Data can then be linked to the formal structure of these ontologies to aid dataset interoperability, along with retrieval and discovery of information. [16] [17] The classes in an ontology can be limited to a relatively narrow domain (such as an ontology of occupations), [18] or expansively cover all of reality with highly general classes (such as in Basic Formal Ontology). [15]

Applied Ontology is a quickly growing field. It has found major applications in areas such as biological research, [19] Artificial intelligence, [20] banking, [21] healthcare, [22] and defense. [23]

See also

Related Research Articles

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Edmund Gustav Albrecht Husserl was an Austrian-German philosopher and mathematician who established the school of phenomenology.

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<span class="mw-page-title-main">Semantic Web</span> Extension of the Web to facilitate data exchange

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In information science, an ontology encompasses a representation, formal naming, and definitions of the categories, properties, and relations between the concepts, data, or entities that pertain to one, many, or all domains of discourse. More simply, an ontology is a way of showing the properties of a subject area and how they are related, by defining a set of terms and relational expressions that represent the entities in that subject area. The field which studies ontologies so conceived is sometimes referred to as applied ontology.

<span class="mw-page-title-main">Phenomenology (philosophy)</span> Philosophical method and schools of philosophy

Phenomenology is the philosophical study of objectivity and reality as subjectively lived and experienced. It seeks to investigate the universal features of consciousness while avoiding assumptions about the external world, aiming to describe phenomena as they appear to the subject, and to explore the meaning and significance of the lived experiences.

<span class="mw-page-title-main">Applied philosophy</span> Branch of philosophy

Applied philosophy is a branch of philosophy that studies philosophical problems of practical concern. The topic covers a broad spectrum of issues in environment, medicine, science, engineering, policy, law, politics, economics and education. The term was popularised in 1982 by the founding of the Society for Applied Philosophy by Brenda Almond, and its subsequent journal publication Journal of Applied Philosophy edited by Elizabeth Brake. Methods of applied philosophy are similar to other philosophical methods including questioning, dialectic, critical discussion, rational argument, systematic presentation, thought experiments and logical argumentation.

<span class="mw-page-title-main">Object–role modeling</span> Programming technique

Object–role modeling (ORM) is used to model the semantics of a universe of discourse. ORM is often used for data modeling and software engineering.

The term conceptual model refers to any model that is formed after a conceptualization or generalization process. Conceptual models are often abstractions of things in the real world, whether physical or social. Semantic studies are relevant to various stages of concept formation. Semantics is fundamentally a study of concepts, the meaning that thinking beings give to various elements of their experience.

<span class="mw-page-title-main">Barry Smith (ontologist)</span> American philosopher

Barry Smith is an academic working in the field of Applied Ontology. Smith is the author of more than 700 scientific publications, including 15 authored or edited books. He is one of the most widely cited living philosophers.

In information science, an upper ontology is an ontology that consists of very general terms that are common across all domains. An important function of an upper ontology is to support broad semantic interoperability among a large number of domain-specific ontologies by providing a common starting point for the formulation of definitions. Terms in the domain ontology are ranked under the terms in the upper ontology, e.g., the upper ontology classes are superclasses or supersets of all the classes in the domain ontologies.

Semantic integration is the process of interrelating information from diverse sources, for example calendars and to do lists, email archives, presence information, documents of all sorts, contacts, search results, and advertising and marketing relevance derived from them. In this regard, semantics focuses on the organization of and action upon information by acting as an intermediary between heterogeneous data sources, which may conflict not only by structure but also context or value.

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DOGMA, short for Developing Ontology-Grounded Methods and Applications, is the name of research project in progress at Vrije Universiteit Brussel's STARLab, Semantics Technology and Applications Research Laboratory. It is an internally funded project, concerned with the more general aspects of extracting, storing, representing and browsing information.

<span class="mw-page-title-main">Basic Formal Ontology</span>

Basic Formal Ontology (BFO) is a top-level ontology developed by Barry Smith and his associates for the purposes of promoting interoperability among domain ontologies built in its terms through a process of downward population. A guide to building BFO-conformant domain ontologies was published by MIT Press in 2015.

<span class="mw-page-title-main">Ontology engineering</span> Field that studies the methods and methodologies for building ontologies

In computer science, information science and systems engineering, ontology engineering is a field which studies the methods and methodologies for building ontologies, which encompasses a representation, formal naming and definition of the categories, properties and relations between the concepts, data and entities of a given domain of interest. In a broader sense, this field also includes a knowledge construction of the domain using formal ontology representations such as OWL/RDF. A large-scale representation of abstract concepts such as actions, time, physical objects and beliefs would be an example of ontological engineering. Ontology engineering is one of the areas of applied ontology, and can be seen as an application of philosophical ontology. Core ideas and objectives of ontology engineering are also central in conceptual modeling.

Documentality is the theory of documents that underlies the ontology of social reality put forward by the Italian philosopher Maurizio Ferraris. The theory gives to documents a central position within the sphere of social objects, conceived as distinct from physical and ideal objects. Ferraris argues that social objects are "social acts that have been inscribed on some kind of support", be it a paper document, a magnetic support, or even memory in people's heads. Thus the constitutive rule of social objects is that Object = Inscribed Act. Therefore, documents as inscriptions possessing social relevance and value embody the essential and prototypical features of any social object, and it is on this basis that it is possible to develop an ontology capable of classifying documents and their selective storage, beginning with the grand divide between strong documents, which make up social objects in the full sense, and weak documents, which are secondary derivatives and of lesser importance. This theory is inspired, on the one hand, by the reflection on the centrality of writing developed by Jacques Derrida and, on the other hand, by the theory of social acts devised by Adolf Reinach (1913) and the theory of linguistic acts by John L. Austin (1962).

<i>Logical Investigations</i> (Husserl) 1900–1901 book by Edmund Husserl

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<span class="mw-page-title-main">Conceptualization (information science)</span> Abstract simplified view of selected part(s) of the world

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References

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