A Survey of Schema-Based Matching Approaches

By Pavel Shvaiko, Jérôme Euzenat. Journal on Data Semantics, 2005

1,394 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/bf4ae2c4e258bdd9d21562b5c05420033a02cc1d

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Citations in the corpus

RiMOM: A Dynamic Multistrategy Ontology Alignment Framework (2009, background): “There are several surveys on schema matching and ontology alignment [18], [22], [23], [31], [55], [57], [61].”
Ontology Alignment Evaluation Initiative: Six Years of Experience (2011, methodology): “There have been different formalizations of the matching process and the results generated by this process [5; 42; 38; 59; 70].”
Ontology Matching: State of the Art and Future Challenges (2013, methodology): “As evaluations of the recent years indicate, the ﬁeld of ontology matching has made a measurable improvement, the speed of which is albeit slowing down.”
Ten Challenges for Ontology Matching (2008, background): “Many diverse solutions of matching have been proposed so far, see [49, 67] for some contributions of the last decades and [14, 46, 64, 68, 73] for recent surveys(2).”
Ontology Matching (2007, methodology): “There have already been some comparisons of matching systems, in particular in (Parent and Spaccapietra 2000; Rahm and Bernstein 2001; Do et al. 2002; Kalfoglou and Schorlemmer 2003b; Noy 2004a; Doan and Halevy 2005; Shvaiko and Euzenat 2005; Choi et al. 2006; Bellahsene et al. 2011).”
Semantic Matching: Algorithms and Implementation (2007, background): “Such applications, contrary to traditional ones, require (ultimately) a run time matching operation and take advantage of more explicit conceptual models [18].”
Ontology change: classification and survey (2008, methodology): “Notice that, in several cases, e.g., (Aumueller et al. 2005), (David et al. 2006), (Giunchiglia et al. 2006), (Hu & Qu 2006), (Shvaiko & Euzenat 2005), (Zhdanova & Shvaiko 2006), the term ontology (schema) matching is used to refer to ontology alignment and the two terms are used interchangeably…”
Ontologies and the semantic web (2006, background): “Major research efforts have also been directed towards tackling some of the barriers to realising the semantic web mentioned in Section 1, and considerable progress has been made in areas such as ontology alignment (reconciling ontologies that describe overlapping domains) [18], ontology extraction ”
Media Meets Semantic Web - How the BBC Uses DBpedia and Linked Data to Make Connections (2009, background): “This problem is a well known one in the research area of ontology matching [6][7].”
AgreementMaker: Efficient Matching for Large Real-World Schemas and Ontologies (2009, background): “Clio stands apart because of its single focus on database-speciﬁc constraints and operators (e.g., foreign keys, joins) to infer the mappings whereas constraints in ontologies (as implemented in the other three systems and in AgreementMaker ) are of a diﬀerent nature [12].”
On the Ontology Instance Matching Problem (2008, background): “For ontologies, most of the existing work on ontology matching is focused at the schema level [4], [5].”