Anchor-PROMPT: Using Non-Local Context for Semantic Matching

By Natasha Noy, Mark A. Musen. OIS@IJCAI, 2001

529 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a8315ee4489050489941e2cfa8301e4a81c3b613

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Citations in the corpus

Learning to match ontologies on the Semantic Web (2003, unknown): “The Anchor-PROMPT system [35] exploits the general heuristic that paths (in the taxonomies or ontology graphs) between matching elements tend to contain other matching elements.”
A String Metric for Ontology Alignment (2005, unknown): “Many platforms that use such a methodology to compute similarities between ontologies exist in literature; some examples are, Anchor-PROMPT [3], QOM [4], Cupid [5] and many more.”
Promptdiff: a fixed-point algorithm for comparing ontology versions (2002, methodology): “AnchorPROMPT (Noy & Musen 2001), the articulation engine of the SKAT tool (Mitra, Wiederhold, & Kersten 2000), and Similarity-Flooding algorithm (Melnik, Garcia-Molina, & Rahm 2002) use similarities in the ontology graph structure to suggest candidate AAAI-02 749 matches.”
Ontology Matching with Semantic Verification (2009, unknown): “PROMPT consists of an interactive ontology merging tool [35] and a graph based mapping dubbed Anchor-PROMPT [34].”
The PROMPT suite: interactive tools for ontology merging and mapping (2003, background): “…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…”
Ontology Matching: A Machine Learning Approach (2004, background): “The Anchor-PROMPT system [28] exploits the general”
Ontology Matching (2007, background): “Anchor-Prompt (Noy and Musen 2001) is an extension of Prompt, also formerly known as SMART.”
Similarity-Based Ontology Alignment in OWL-Lite (2004, methodology): “Anchor-Prompt [10] uses a bounded path comparison algorithm with the originality that anchor points can be provided by the users as a partial alignment.”
A Survey of Schema-Based Matching Approaches (2005, unknown): “At present, there exists a line of semi-automated schema/ontology matching systems, see, for instance [29,25, 14, 32,53, 1, 27, 34,37, 31].”