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 * DOI:10.1007/s10844-019-00561-0
 * Corpus ID: 160009374


SEMANTIC SIMILARITY AGGREGATORS FOR VERY SHORT TEXTUAL EXPRESSIONS: A CASE STUDY
ON LANDMARKS AND POINTS OF INTEREST

@article{Gil2019SemanticSA,
  title={Semantic similarity aggregators for very short textual expressions: a case study on landmarks and points of interest},
  author={Jorge Mart{\'i}nez Gil},
  journal={Journal of Intelligent Information Systems},
  year={2019},
  pages={1-20}
}

 * Jorge Martínez Gil
 * Published 22 May 2019
 * Computer Science
 * Journal of Intelligent Information Systems

Semantic similarity measurement aims to automatically compute the degree of
similarity between two textual expressions that use different representations
for naming the same concepts. [...] Key Result As a result, we have been able to
improve the results of existing techniques when solving the GeReSiD and the
SDTS, two of the most popular benchmark datasets for dealing with geographical
information.Expand
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jorgemar.pbworks.com

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 * 43 References
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SUSTAINABLE SEMANTIC SIMILARITY ASSESSMENT

 * J. Martinez-Gil, J. M. Chaves-González
 * Computer Science
   J. Intell. Fuzzy Syst.
 * 2022

TLDR

This work proposes a novel method based on multi-objective symbolic regression
to generate a Pareto front of compromise solutions for sustainable semantic
similarity assessment, where accuracy, interpretability, and energy efficiency
are equally important.Expand
 * 4
 * PDF

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TRANSFER LEARNING FOR SEMANTIC SIMILARITY MEASURES BASED ON SYMBOLIC REGRESSION

 * J. Martinez-Gil, J. M. Chaves-González
 * Computer Science
   Journal of Intelligent & Fuzzy Systems
 * 2023

TLDR

This work designs a novel strategy for effective and efficient transfer learning
in semantic similarity based on generating and transferring optimal models
obtained through a symbolic regression process being able to stack evaluation
scores from several fundamental techniques.Expand
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STATE-OF-THE-ART IN NEUROFUZZY SYSTEMS FOR SEMANTIC TEXTUAL SIMILARITY 1

 * J. Martinez-Gil
 * Computer Science
 * 2022

TLDR

It is shown that both neural networks and fuzzy logic have specific properties
that make them suited for particular problems and not others, and that both
systems cannot automatically derive the rules they use to make those
decisions.Expand
 * PDF

 * View 1 excerpt, cites methods

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NEUROFUZZY SEMANTIC SIMILARITY MEASUREMENT

 * J. Martinez-Gil, R. Mokadem, J. Küng, A. Hameurlain
 * Computer Science
   Data & Knowledge Engineering
 * 2023

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A COMPREHENSIVE REVIEW OF STACKING METHODS FOR SEMANTIC SIMILARITY MEASUREMENT

 * J. Martinez-Gil
 * Machine Learning with Applications
 * 2022

 * 2

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CITY ASSOCIATION PATTERN DISCOVERY: A FLOW PERSPECTIVE BY USING CULTURAL
SEMANTIC SIMILARITY OF PLACE NAME

 * Haoran Wang, Haiping Zhang, Shangjing Jiang, G. Tang, Xueying Zhang, Lei Zhou
 * Computer Science
   Applied Geography
 * 2022

 * 2

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A NOVEL NEUROFUZZY APPROACH FOR SEMANTIC SIMILARITY MEASUREMENT

 * Jorge Martínez Gil, R. Mokadem, J. Küng, A. Hameurlain
 * Computer Science
   DaWaK
 * 2021

 * 5

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43 REFERENCES

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COTO: A NOVEL APPROACH FOR FUZZY AGGREGATION OF SEMANTIC SIMILARITY MEASURES

 * J. Martinez-Gil
 * Computer Science
   Cognitive Systems Research
 * 2016

 * 16
 * Highly Influential
 * PDF

 * View 3 excerpts, references background, methods and results

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AN OVERVIEW OF TEXTUAL SEMANTIC SIMILARITY MEASURES BASED ON WEB INTELLIGENCE

 * Jorge Martínez Gil
 * Computer Science
   Artif. Intell. Rev.
 * 2014

TLDR

This paper presents and evaluates a collection of emerging techniques developed
to avoid semantic similarity measurement problems and implements a variety of
paradigms including the study of co-occurrence, text snippet comparison,
frequent pattern finding, or search log analysis.Expand
 * 23
 * PDF

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THE SEMANTICS OF SIMILARITY IN GEOGRAPHIC INFORMATION RETRIEVAL

 * K. Janowicz, M. Raubal, W. Kuhn
 * Computer Science
   J. Spatial Inf. Sci.
 * 2011

TLDR

This work introduces a framework to specify the semantics of similarity, and
discusses similarity-based information retrieval paradigms as well as their
implementation in web-based user interfaces for geo- graphic information
retrieval to demonstrate the applicability of the framework.Expand
 * 141
 * PDF

 * View 1 excerpt, references methods

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COMPUTING THE SEMANTIC SIMILARITY OF GEOGRAPHIC TERMS USING VOLUNTEERED LEXICAL
DEFINITIONS

 * A. Ballatore, David C. Wilson, M. Bertolotto
 * Computer Science
   Int. J. Geogr. Inf. Sci.
 * 2013

TLDR

A knowledge-based approach to quantify the semantic similarity of lexical
definitions, grounded in the recursive intuition that similar terms are
described using similar terms, and relies on paraphrase-detection techniques and
the lexical database WordNet.Expand
 * 46
 * PDF

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FROM SENSES TO TEXTS: AN ALL-IN-ONE GRAPH-BASED APPROACH FOR MEASURING SEMANTIC
SIMILARITY

 * Mohammad Taher Pilehvar, Roberto Navigli
 * Computer Science, Linguistics
   Artif. Intell.
 * 2015

 * 99
 * PDF

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GEOGRAPHIC KNOWLEDGE EXTRACTION AND SEMANTIC SIMILARITY IN OPENSTREETMAP

 * A. Ballatore, M. Bertolotto, David C. Wilson
 * Computer Science
   Knowledge and Information Systems
 * 2012

TLDR

Devising a mechanism for computing the semantic similarity of the OSM geographic
classes can help alleviate this semantic gap, and empirical evidence supports
the usage of co-citation algorithms—SimRank showing the highest plausibility—to
compute concept similarity in a crowdsourced semantic network.Expand
 * 129
 * PDF

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AN EVALUATIVE BASELINE FOR GEO-SEMANTIC RELATEDNESS AND SIMILARITY

 * A. Ballatore, M. Bertolotto, David C. Wilson
 * Computer Science
   GeoInformatica
 * 2014

TLDR

The Geo Relatedness and Similarity Dataset (GeReSiD), a new open dataset
designed to evaluate computational measures of geo-semantic relatedness and
similarity, is described and validated.Expand
 * 43
 * PDF

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DERIVING THE GEOGRAPHIC FOOTPRINT OF COGNITIVE REGIONS

 * Heidelinde Hobel, P. Fogliaroni, A. Frank
 * Computer Science
   AGILE Conf.
 * 2016

TLDR

The main idea is to use Natural Language Processing (NLP) tools to identify
unique geographic features from User Generated Content (UGC) sources consisting
of textual descriptions of places to identify on a map an initial area that the
descriptions refer to.Expand
 * 19

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SEMANTIC SIMILARITY MEASUREMENT AND GEOSPATIAL APPLICATIONS

 * K. Janowicz, M. Raubal, A. Schwering, W. Kuhn
 * Computer Science
   Trans. GIS
 * 2008

TLDR

The following special issue presents work on semantic similarity measurement
from different perspectives, including cognitive science, information retrieval,
and ontology engineering, with a focus on applications in GIScience.Expand
 * 61
 * PDF

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DOMESA: A NOVEL APPROACH FOR EXTENDING DOMAIN-ORIENTED LEXICAL RELATEDNESS
CALCULATIONS WITH DOMAIN-SPECIFIC SEMANTICS

 * Maciej Rybiński, J. F. A. Montes
 * Computer Science
   Journal of Intelligent Information Systems
 * 2017

TLDR

A novel method to approximate semantic relatedness in domain-focused settings
that combines the semantics of a general and domain-specific corpora to provide
significant improvements over the original method.Expand
 * 5

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