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A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures Jorge Martinez-Gil, Software Competence Center Hagenberg (Austria) email:
Evolutionary algorithm based on different semantic similarity functions for synonym recognition in the biomedical domain José M.
Annotated Bibliography on Semantic Similarity Jorge Martinez-Gil Software Competence Center Hagenberg GmbH Softwarepark 21, 4232 Hagenberg, Austria jorge.
The W3C Recommendation for Semantic Annotations in WSDL and XML Schema (SAWSDL) deﬁnes an extension that can help to disambiguate the description of Web Services during automatic discovery and composition.
These semantic questions, latent in the Aristotelian logical tradition, were brought to the fore by Scotus’s arguments against analogy.
(will be inserted by the editor) Semantic Similarity Measurement Using Historical Google Search Patterns Jorge Martinez-Gil and Jose F.
Analysis of word co-occurrence in human literature for supporting semantic correspondence discovery Jorge Martinez-Gil Mario Pichler Software Competence Center Hagenberg Softwarepark 21, 4232 Hagenberg, Austria Software Competence Center Hagenberg Softwarepark 21, 4232 Hagenberg, Austria firstname.lastname@example.org email@example.com ABSTRACT Semantic similarity measurement aims to determine the likeness between two text expressions that use different lexicographies for representing the same real object or idea.
Looking for the Best Historical Window for Assessing Semantic Similarity Using Human Literature Jorge Martinez-Gil Mario Pichler Lorena Paoletti Software Competence Center Hagenberg Softwarepark 21 4232, Austria Software Competence Center Hagenberg Softwarepark 21 4232, Austria Software Competence Center Hagenberg Softwarepark 21 4232, Austria firstname.lastname@example.org email@example.com ABSTRACT We describe the way to get benefit from broad cultural trends through the quantitative analysis of a vast digital book collection representing the digested history of humanity.
(will be inserted by the editor) An Overview of Textual Semantic Similarity Measures Based on Web Intelligence Jorge Martinez-Gil Received:
As a result, FoodKG can enhance knowledge graphs with semantic similarity scores and relations between different classes, classify the existing entities, and allow FEW experts and researchers to use scientific terms for describing FEW concepts.
Smart Combination of Web Measures for Solving Semantic Similarity Problems Jorge Martinez-Gil, Jose F.
Talk on “Accurate semantic similarity measurement of biomedical nomenclature by means of fuzzy logic” Jorge Martinez-Gil Software Competence Center Hagenberg GmbH Softwarepark 21, 4232 Hagenberg, Austria firstname.lastname@example.org http://www.scch.at Abstract.
But there are still some challenges that remain open since traditional solutions do not consider semantic relations properly.
The semantic array programming paradigm [Comment] – “The main difference with respect to previous attempts is the programming approach which is based on freely available software and a “semantic array programming paradigm”.
A Web Mining Tool to Validate Previously Discovered Semantic Correspondences.
We face the complex problem of timely, accurate and mutually satisfactory mediation between job offers and suitable applicant profiles by means of semantic processing techniques.
Applying process mining and semantic reasoning for process model customization in healthcare Silvana Pereira Detro, Eduardo Portela Santos, Hervé Panetto, Eduardo Loures de Freitas, Mario Lezoche, Claudia Cabral Moro Barra To cite this version:
in practice, this will be resolved by linguistic or pragmatic context, and different domains have different semantic types.