Promptdiff: a fixed-point algorithm for comparing ontology versions
By Natasha Noy, Mark A. Musen. AAAI/IAAI, 2002
316 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/66ff4b7eb0021eeffb57b74fa959e4e45b2b7df6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Pavel Shvaiko
- Jérôme Euzenat
- Giorgos Flouris
- Dimitris Manakanatas
- Haridimos Kondylakis
- Yannis Kalfoglou
- Dimitris Plexousakis
- Grigoris Antoniou
Citations in the corpus
- Ontology change: classification and survey (2008, methodology): “The results of comparison tools can be greatly improved if combined with an explicit description of (some of) the changes that the ontology went through, e.g., using the CHAO ontology (Noy et al. 2006) which was developed as an add-on for PROMPTDIFF.”
- Ontology Matching (2007, background): “Its main focus is on discovering the differences, e.g., which ontology entities have been added, deleted or renamed, between two ontology versions (Roddick 1995; Noy and Klein 2004; Noy and Musen 2002b, 2004; Kirsten et al. 2011; Hartung et al. 2013).”
- The PROMPT suite: interactive tools for ontology merging and mapping (2003, methodology): “…includes tools for many of the tasks for multiple-ontology management: interactive ontology merging (Noy and Musen, 2000), graph-based mapping (Noy and Musen, 2001), factoring out semantically independent sub-ontologies, ontology versioning (Noy and Musen, 2002), and ontology-library maintenance.”
- Ontology Evolution: Not the Same as Schema Evolution (2004, unknown): “The PromtDiff tool [ 23 ] compares ontology versions by analyzing their structure.”
- Ontology mapping: the state of the art (2003, methodology): “Their latest tool, PROMPTDIFF, is an algorithm which integrates difierent heuristic matchers for comparing ontology versions.”
- Diagnosing Changes in An Ontology Stream: A DL Reasoning Approach (2012, background): “From ontology versioning (Noy and Musen 2002), semantics-empowered sensors (Sheth 2010) to social semantic web (Auer, Dietzold, and Riechert 2006), all are examples of potential scenarios where knowledge is evolving over time.”