Knowledge representation: logical, philosophical, and computational foundations

By John F. Sowa. 2000

1,069 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fe4758ecc5281564994a8e30e3430bb5c355e1b5

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Citations in the corpus

Ontology-based situation awareness (2009, methodology): “For this purpose we ﬁrst describe a simple example (somewhat similar to the one used in Sowa’s book [17]) and show how that situation can be represented.”
Social Roles and their Descriptions (2004, background): “We take up here the position defended by Sowa (2000) .”
IfcOWL: A case of transforming EXPRESS schemas into ontologies (2008, background): “…much of the ongoing research in the BIM area is based on the closed-world STEP ERM approaches of information modeling and exchange, knowledge representation (Sowa, 2000) methods have been identified as a key area of future research and are being applied in a number of past and ongoing projects.”
A Review of Relational Machine Learning for Knowledge Graphs (2015, methodology): “In this article, we will loosely follow the RDF standard and represent facts in the form of binary relationships, in particular (subject, predicate, object) (SPO) triples, where subject and object are entities and predicate is the type of a relation.”
Bridging semantics and syntax with graph algorithms —state-of-the-art of extracting biomedical relations (2015, methodology): “Regarding alternative representations, the graph-based representation is equivalent to the sentential logic representation, differing at most perhaps in the compactness of the representation [6].”
An ontology of slums for image-based classification (2012, methodology): “We follow the deﬁnition of Sowa (2000), who considers the ontology of a speciﬁc domain to consist of the domain vocabulary, all its essential concepts, their classiﬁcation, taxonomy, relations and domain axioms.”
Toward Information Infrastructure Studies: Ways of Knowing in a Networked Environment (2009, background): “These design issues are playing out across the board in information infrastructure development as the problem of deciding what kind of objects to people your world with, how to describe data with metadata and how to build ontologies (Sowa, 2000).”
Determining Semantic Similarity among Entity Classes from Different Ontologies (2003, background): “Properties that distinguish entity classes from the same superclass are called distinguishing features or differentiae [11].”
The Architecture of Dynamic Capability Research Identifying the Building Blocks of a Configurational Approach (2016, unknown): “Here the co-occurrence of words within their textual contexts provides important 10 insights for the narrative inquiry of a research area (Clandinin & Connelly, 2000; Sowa, 2000; Stubbs, 1996).”
Ontologies: How can They be Built? (2004, methodology): “There is a clear definition of the process (Sowa 2000), operations to perform fusion have been proposed (Noy and Musen 2000; Wiederhold 1994), one methodology is available (Gangemi et al.”
Ontological considerations in GIScience (2005, background): “Categories include concepts (Sowa 2000), and while concepts are linked to cognitive semantics, categories are universal in the real world.”
Geographic Object-Based Image Analysis – Towards a new paradigm (2014, unknown): “Structural knowledge can be organised into knowledge organizing systems, realised by graphic notations such as semantic networks (Liedtke et al., 1997; Sowa, 1999), and by more mathematical theories like the formal concept analysis (FCA, Gan-ter and Wille, 1996).”
Resource Description Framework (RDF) (2009, background): “…animal, then we can infer that it is a quadruped), then we could infer that Horse is a subclass of Quadruped (every Horse is a Quadruped), even though this relationship has not been explicitly stated in our ontology. techniques (principally semantic networks [34] and conceptual graphs [35]).”