PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment

By Natasha Noy, Mark A. Musen. AAAI/IAAI, 2000

1,315 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f663c08950b28111b7a74db8b16ecfbb035d4dfa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Ontology Learning for the Semantic Web (2002, unknown): “reference [ 8 ] in survey, Table 1). They have introduced a methodology for au-”
Meteor-s web service annotation framework (2004, methodology): “The research in this area varies from ontology merging [20] to mapping ontologies for service discovery [21].”
Learning to match ontologies on the Semantic Web (2003, unknown): “A solution to this problem is to incorporate user interaction into the matching process [34,12,49].”
Ontology Matching (2007, methodology): “iPrompt (Noy and Musen 2000) is an interactive interface to the Protégé Prompt Suite (Sect.”
Methodologies, tools and languages for building ontologies: Where is their meeting point? (2003, methodology): “However, many other methods and methodologies have been proposed for other tasks, such as ontology reengineering [29], ontology learning [2,45], ontology evaluation [25,27,35,36,41,42], ontology evolution [47,48,58,63], ontology merging [59], etc.”
Fast rule mining in ontological knowledge bases with AMIE+\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$+$$\end{docu (2015, methodology): “Some approaches use rule mining for ontology merging and alignment [12,29,35].”
AMIE: association rule mining under incomplete evidence in ontological knowledge bases (2013, methodology): “Some approaches use rule mining for ontology merging and alignment [10, 24, 30].”
Ontology change: classification and survey (2008, methodology): “In (Noy & Musen 2000), (Noy & Musen 1999a), for example, ontology merging is deﬁned as the process of creating a new, coherent ontology that includes information from two or more source ontologies.”
Combining and relating ontologies: an analysis of problems and solutions (2001, background): “PROMPT (formerly known as SMART) is an interactive ontology-merging tool (Noy and Musen, 2000).”
The evolution of Protégé: an environment for knowledge-based systems development (2003, methodology): “We describe a tool known as PROMPT for automatic ontology merging and alignment ( Noy & Musen, 2000 ).”
The PROMPT suite: interactive tools for ontology merging and mapping (2003, methodology): “The Prompt suite 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 Evolution: Not the Same as Schema Evolution (2004, unknown): “PROMPT (Noy and Musen 2000) is one example of an ontology-merging tool that analyzes the structure of the ontology, classes and relations among them, as well as user actions, to present suggestions for possible merge to the user.”
A survey on ontology mapping (2006, background): “The growing usage of ontologies or the distributed nature of ontology development has led to a large number of ontologies which have the same or overlapping domains.(15,17) These should be merged or aligned to be reused.”
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.”
Corpus-based schema matching (2005, background): “ontology alignment) has received steady attention in the database and AI communities over the years (see [19] for a recent survey and [17, 2, 3, 5, 8, 9, 12, 27, 24] for work since).”
Anchor-PROMPT: Using Non-Local Context for Semantic Matching (2001, methodology): “In our earlier work, we developed PROMPT—a tool for semi-automatic guided ontology merging (Noy and Musen 2000).”