Semantic integration: a survey of ontology-based approaches

By Natasha Noy. SGMD, 2004

1,245 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/d85f11419a2de19e549faf31717c14866253d5ad

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Citations in the corpus

Web Service Semantics - WSDL-S (2005, background): “There is ongoing in the areas especially in the context of the Web Service techno logies and Semantic Web languages (XML, RDF/RDFS, OWL) [POSV04, KS03, SM01, DMDH02, N04 , FB02, HG05].”
Model-Driven Software Development (2011, methodology): “Further sophisticated inference techniques relying on ontology-based matching [Noy04] may be extensions to further improve model consistency.”
Ontology Mapping: An Information Retrieval and Interactive Activation Network Based Approach (2007, background): “More comprehensive surveys of ontology mapping approaches can be found in [9][14].”
RiMOM: A Dynamic Multistrategy Ontology Alignment Framework (2009, neutral): “[18], [31], [49], [61], [57], [22].”
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).”
Biomedical ontologies: a functional perspective (2007, background): “Researchers are developing a plethora of tools for identifying relations between concepts in different ontologies automatically or semi-automatically [56].”
Modular Reuse of Ontologies: Theory and Practice (2008, neutral): “Recently, there has been growing interest in the topic of modularity in ontology engineering (Seidenberg & Rector, 2006; Noy, 2004a; Lutz, Walther, & Wolter, 2007; Cuenca Grau, Parsia, Sirin, & Kalyanpur, 2006b; Cuenca Grau, Horrocks, Kazakov, & Sattler, Cuenca Grau, Horrocks, Kazakov, & Sattler…”
A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges (2017, background): “In general, semantic ontologies are explicit formal spec-iﬁcations of the terms used in a given domain and the relations among them [117].”
The DL-Lite Family and Relations (2009, methodology): “…integration (Beeri, Levy, & Rousset, 1997; Levy & Rousset, 1998; Goasdoue, Lattes, & Rousset, 2000; Calvanese et al., 1998a, 2002a, 2002b, 2008; Noy, 2004; Meyer, Lee, & Booth, 2005), • ontology-based data access (Dolby et al., 2008; Poggi et al., 2008a; Heymans et al., 2008), • the Semantic…”
Ontological supervision for fine grained classification of Street View storefronts (2015, background): “Ontologies are a commonly used resource, holding hierarchical representations of such containment relations [3, 23].”
Ontology Matching: State of the Art and Future Challenges (2013, background): “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.”
Semantic Matching: Algorithms and Implementation (2007, background): “Many diverse solutions of match have been proposed so far, see [43,12,40,42] for recent surveys, while some examples of individual approaches addressing the matching problem can be found in [1,2,5,6,10,11,13,16,30,32,33,35,39]1.”
Processing Social Media Messages in Mass Emergency (2014, methodology): “For a survey on ontology mapping techniques, see [Noy 2004].”