Handbook on Ontologies

International Handbooks on Information Systems, 2009

1,094 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/2521c1d36286ea3a919bf413dddba2388d000377

Citations in the corpus

• Owlready: Ontology-oriented programming in Python with automatic classification and high level constructs for biomedical ontologies (2017, background): “A formal ontology is the specification of the concepts, their attributes and relationships, in a given domain of discourse [1].”
• YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia (2007, methodology): “The weaker variants of OWL, OWL-lite and OWL-DL, cannot express relations between facts.”
• YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract (2013, background): “Ontologies have been either handcrafted or constructed in an (semi-)automated manner; see [43] for an overview.”
• Unsupervised Ontology Induction from Text (2010, background): “In general, ontology induction (constructing an ontology) and ontology population (mapping textual expressions to concepts and relations in the ontology) remain difficult open problems (Staab and Studer, 2004).”
• An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval (2007, background): “[7], [13], [ 34 ], and own previous work [3], [4]), but they are not the focus of this”
• Kernel Methods for Mining Instance Data in Ontologies (2007, neutral): “The interested reader is pointed to [4] for comprehensive introductions to the field of kernel methods and to [5,6] for introductions to ontologies and knowledge representation, in particular description logic-type approaches.”
• Machine Reading: A "Killer App" for Statistical Relational AI (2010, background): “In general, constructing the ontology (ontology induction) and mapping textual expressions to ontological nodes (ontology population) remain difficult open problems (Staab and Studer 2004).”