Ontologies: A silver bullet for knowledge management and electronic commerce
By T. Šercar. 2002
1,599 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/84be980c397e12b03b84a0ffd4e23f0c6fa51513
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jayant Madhavan
- Alon Y. Halevy
- AnHai Doan
- Pedro M. Domingos
- Pavel Shvaiko
- Kunal Verma
- Jérôme Euzenat
- Amit P. Sheth
Citations in the corpus
- A survey on ontology mapping (2006, background): “34, 35, 5 Schema can still be viewed as an ontology with restricted relationship types.”
- Deploying and managing Web services: issues, solutions, and directions (2008, background): “The concept of ontology is the key to empowering Web services with semantics [38].”
- Participation in design things (2008, methodology): “Such a metadesign approach has been described by Fischer and Scharff [18] and Fisher and Giaccardi [19] with reference to earlier work both in art (e.”
- The business model ontology a proposition in a design science approach (2004, methodology): “By using an ontological approach to business modeling, one can create a shared and common understanding of what a company does to earn money and facilitate communication between people and heterogeneous and widely spread application systems (Fensel 2001).”
- An ontology-based interface for machine learning (2005, methodology): “Using this rich input, the system applies a number of inference mechanisms such as plan recognition as well as ML techniques in order to create both a personal journal and a user model.”
- Meteor-s web service annotation framework (2004, background): “On the other hand ontologies are developed to capture real world knowledge and domain theory [12].”
- Gumo - The General User Model Ontology (2005, background): “Ontologies provide a shared and common understanding of a domain that can be communicated between people and heterogeneous and widely spread application systems, as pointed out in [3].”
- Learning to match ontologies on the Semantic Web (2003, neutral): “An ontology specifies a conceptualization of a domain in terms of concepts, attributes, and relations [18].”
- An eBusiness Model Ontology for Modeling eBusiness (2002, methodology): “The use of formalized e-business models helps managers easily communicate and share their understanding of an e-business among other stakeholders (Fensel, 2001).”
- Ontologies and semantics for seamless connectivity (2004, background): “The promise of ontologies is a shared and common understanding of a domain that can be communicated between people and application systems [Fensel 2001].”
- Learning to map between ontologies on the semantic web (2002, methodology): “An ontology species a conceptualization of a domain in terms of concepts, attributes, and relations [ 14 ].”
- Clarifying Business Models: Origins, Present, and Future of the Concept (2005, neutral): “Formalizing business models and expressing them in a more tangible way clearly help managers to communicate and share their understanding of a business among other stakeholders [Fensel 2001].”