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Journal ArticleDOI

The PROMPT suite: interactive tools for ontology merging and mapping

Natalya F. Noy, +1 more
- 01 Dec 2003 - 
- Vol. 59, Iss: 6, pp 983-1024
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TLDR
A suite of tools for managing multiple ontologies provides users with a uniform framework for comparing, aligning, and merging ontologies, maintaining versions, translating between different formalisms, and identifying inconsistencies and potential problems.
Abstract
Researchers in the ontology-design field have developed the content for ontologies in many domain areas. This distributed nature of ontology development has led to a large number of ontologies covering overlapping domains. In order for these ontologies to be reused, they first need to be merged or aligned to one another. We developed a suite of tools for managing multiple ontologies. These suite provides users with a uniform framework for comparing, aligning, and merging ontologies, maintaining versions, translating between different formalisms. Two of the tools in the suite support semi-automatic ontology merging: IPROMPT is an interactive ontology-merging tool that guides the user through the merging process, presenting him with suggestions for next steps and identifying inconsistencies and potential problems. ANCHORPROMPT uses a graph structure of ontologies to find correlation between concepts and to provide additional information for IPROMPT.

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Book

Ontology Matching

TL;DR: The second edition of Ontology Matching has been thoroughly revised and updated to reflect the most recent advances in this quickly developing area, which resulted in more than 150 pages of new content.
BookDOI

The Semantic Web: Research and Applications

TL;DR: DODDLE-R, a support environment for user-centered ontology development, consists of two main parts: pre-processing part and quality improvement part, which generates a prototype ontology semi-automatically and supports the refinement of it interactively.
Journal ArticleDOI

Ontology Matching: State of the Art and Future Challenges

TL;DR: It is conjecture that significant improvements can be obtained only by addressing important challenges for ontology matching and presents such challenges with insights on how to approach them, thereby aiming to direct research into the most promising tracks and to facilitate the progress of the field.
Journal ArticleDOI

Semantic integration: a survey of ontology-based approaches

TL;DR: The goal of the paper is to provide a reader who may not be very familiar with ontology research with introduction to major themes in this research and with pointers to different research projects.
Journal ArticleDOI

The protégé project: a look back and a look forward

TL;DR: Protege has become the most widely used software for building and maintaining ontologies, and the Web-based version has become extremely popular, and it recently exceeded the desktop-client in its degree of usage.
References
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Journal ArticleDOI

WordNet : an electronic lexical database

Christiane Fellbaum
- 01 Sep 2000 - 
TL;DR: The lexical database: nouns in WordNet, Katherine J. Miller a semantic network of English verbs, and applications of WordNet: building semantic concordances are presented.
Journal ArticleDOI

Toward principles for the design of ontologies used for knowledge sharing

TL;DR: The role of ontology in supporting knowledge sharing activities is described, and a set of criteria to guide the development of ontologies for these purposes are presented, and it is shown how these criteria are applied in case studies from the design ofOntologies for engineering mathematics and bibliographic data.
Book

Formal Concept Analysis: Mathematical Foundations

TL;DR: This is the first textbook on formal concept analysis that gives a systematic presentation of the mathematical foundations and their relation to applications in computer science, especially in data analysis and knowledge processing.
Journal ArticleDOI

A survey of approaches to automatic schema matching

TL;DR: A taxonomy is presented that distinguishes between schema-level and instance-level, element- level and structure- level, and language-based and constraint-based matchers and is intended to be useful when comparing different approaches to schema matching, when developing a new match algorithm, and when implementing a schema matching component.
Journal ArticleDOI

CYC: a large-scale investment in knowledge infrastructure

TL;DR: The fundamental assumptions of doing such a large-scale project are examined, the technical lessons learned by the developers are reviewed, and the range of applications that are or soon will be enabled by the technology is surveyed.