A String Metric for Ontology Alignment
By Giorgos Stoilos, Giorgos B. Stamou, Stefanos D. Kollias. 2005
497 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Management Science and Operations Research, Information Extraction, Knowledge Graphs & Representation
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
- Pavel Shvaiko
- Jérôme Euzenat
- Yuzhong Qu
- Wei Hu
- Fausto Giunchiglia
- Jianfeng Chen
- Bernardo Cuenca Grau
- Grigoris Antoniou
In Information Systems
- Pavel Shvaiko
- Jérôme Euzenat
- Fausto Giunchiglia
- Wei Hu
- Yuzhong Qu
- Jianfeng Chen
- Grigoris Antoniou
- Giorgos Flouris
In Management Science and Operations Research
- Jérôme Euzenat
- Pavel Shvaiko
- Wei Hu
- Ernesto Jiménez-Ruiz
- Dimitris Plexousakis
- Fausto Giunchiglia
- Grigoris Antoniou
- Xindong Wu
In Information Extraction
- Ernesto Jiménez-Ruiz
- Wei Hu
- Bernardo Cuenca Grau
- Jérôme Euzenat
- Hao Peng
- Yuzhong Qu
- Jianfeng Chen
- Pavel Shvaiko
In Knowledge Graphs & Representation
- Wei Hu
- Yuzhong Qu
- Jianfeng Chen
- Jérôme Euzenat
- Pavel Shvaiko
- Ernesto Jiménez-Ruiz
- Xindong Wu
- Bernardo Cuenca Grau
Citations in the corpus
- Semantic Matching: Algorithms and Implementation (2007, background): “, string-based matchers, have already been extensively evaluated in [11,44].”
- Ontology Matching: State of the Art and Future Challenges (2013, background): “Specifically, alignments can be used as navigation links within a multi-faceted browser to access a collection via thesauri it was not originally indexed with [30].”
- Ontology change: classification and survey (2008, background): “In (Stoilos et al. 2005), a certain string metric is proposed to evaluate name similarities of elements in different ontologies, upon which a linguistic matcher could be based.”
- Ontology Matching (2007, methodology): “Another similar measure is SMOA (Stoilos et al. 2005) which is adapted to the way computer users define identifiers.”
- A self-training approach for resolving object coreference on the semantic web (2011, methodology): “where I-Sub is an improved string comparison method [22], whose novelty is that the similarity between two strings is relevant to their commonalities as well as their differences.”
- RiMOM: A Dynamic Multistrategy Ontology Alignment Framework (2009, unknown): “Existing work [28], [58] makes use of one type of ontological information or one kind of method for finding ontology alignment.”
- A Comprehensive Survey on Automatic Knowledge Graph Construction (2023, methodology): “String-similarity-based models available for entity matching also include TF-IDF [299], I-Sub [300].”
- LogMap: Logic-Based and Scalable Ontology Matching (2011, methodology): “Note that LogMap could find in all cases more than 94% of the gold standard mappings having ISUB similarity above 0.95.”