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Everything about Ontology (information science)
Specification of a conceptualization
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. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Ontology (information science)A 5-minute orientation
- Skim a recent paper: OntoCS: Advancing Computer Science Education through Ontology-Driven Knowledge Management for Curriculum StandardizationInfluential work since 2022
- Pick up a classic book: Ontology and the lexiconThe most-reprinted book on the subject
- Read the landmark paper: SwetoDblp ontology of Computer Science publicationsCited 48 times
- Go sideways: Ontology engineeringA closely related topic
- Go sideways: Web Ontology LanguageA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
SwetoDblp ontology of Computer Science publications
The Computer Science Ontology: A Comprehensive Automatically-Generated Taxonomy of Research Areas
Using Ontology Engineering Methods to Improve Computer Science and Data Science Skills
Automating Computer Science Ontology Extension With Classification Techniques
An Advanced Analysis of Cloud Computing Concepts Based on the Computer Science Ontology
ONTO-ALIGN: An Ontology-based Framework for Evaluating Curriculum Alignment with Educational Standards in Computer Science
Protege ontology in computer science
CSO Classifier 4.0: Software for efficient ontology-based topic annotation in computer science
🆕 Influential since 2022
OntoCS: Advancing Computer Science Education through Ontology-Driven Knowledge Management for Curriculum Standardization
Publication Performance and Trends in Ontology Research in Computer Science Areas: A Bibliometric Analysis
Ontology-Driven Semantic Information System for Adaptive Assessment in Kazakh-Language Computer Science Education: A Case Study
📚 Books worth reading
Ontology and the lexiconChu-Ren Huang · 2010
SysML for systems engineeringJon Holt · 2008
Semantic web for the working ontologistDean Allemang · 2008
Ontology-Driven Software DevelopmentJeff Z. Pan · 2012
Understanding Learning In Virtual WorldsMark Childs · 2013- 📕Ontology Based Interpretation of Natural LanguagePhilipp Cimiano, Christina Unger · 2014
Handbook on ontologiesSteffen Staab, Rudi Studer · 2009
Ontology Learning and Population from TextPhilipp Cimiano · 2006
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Ontology engineering In computer science, information science and systems engineering, ontology engineering is a field which studies the methods and methodologies for building…
- Web Ontology Language The Web Ontology Language (OWL) is a family of knowledge representation languages for authoring ontologies. Ontologies are a formal way to describe taxonomies…
- Description logic Description logics (DL) are a family of formal knowledge representation languages. Many DLs are more expressive than propositional logic but less expressive…
- Semantic Web The Semantic Web, sometimes known as Web 3.0, is an extension of the World Wide Web through standards set by the World Wide Web Consortium (W3C). The goal…
- Knowledge extraction Knowledge extraction is the creation of knowledge from structured (relational databases, XML) and unstructured (text, documents, images) sources. The resulting…
- Multimedia Web Ontology Language Machine interpretation of documents and services in Semantic Web environment is primarily enabled by (a) the capability to mark documents, document segments…
- Semantic technology The ultimate goal of semantic technology is to help machines understand data. Well-known technologies that enable the encoding of semantics in data include…
- Social Semantic Web The concept of the Social Semantic Web subsumes developments in which social interactions on the Web lead to the creation of explicit and semantically…