A hybrid approach for measuring semantic similarity based on IC-weighted path distance in WordNet

Y Cai, Q Zhang, W Lu, X Che - Journal of intelligent information systems, 2018 - Springer
As a valuable tool for text understanding, semantic similarity measurement enables
discriminative semantic-based applications in the fields of natural language processing …

Semantic similarity aggregators for very short textual expressions: a case study on landmarks and points of interest

J Martinez-Gil - Journal of Intelligent Information Systems, 2019 - Springer
Semantic similarity measurement aims to automatically compute the degree of similarity
between two textual expressions that use different representations for naming the same …

Introducing the HOBBIT platform into the ontology alignment evaluation campaign

E Jiménez-Ruiz, T Saveta, O Zamazal… - OM 2018-13th …, 2018 - hal.science
This paper describes the Ontology Alignment Evaluation Initiative 2017.5 pre-campaign.
Like in 2012, when we transitioned the evaluation to the SEALS platform, we have also …

[PDF][PDF] 0000-0002-9083-4599

EO Jimenez-Ruiz - Hassanzadeh, O., Efthymiou, V., Chen, J. and …, 2020 - core.ac.uk
Tabular data to Knowledge Graph matching is the process of assigning semantic tags from
knowledge graphs (eg, Wikidata or DB-pedia) to the elements of a table. This task is a …

[PDF][PDF] A fast measurement of term relatedness based on full Wikipedia link vector space model1

W Zhu, J Chen, G Hu, Z Lu, B Wei - journal.it.cas.cz
Words semantic relatedness computation is to calculate the correlation degree of words. It is
an important research direction in the implementations of natural language processing …

Improving approximation of domain-focused, corpus-based, lexical semantic relatedness

M Rybinski - 2017 - riuma.uma.es
Semantic relatedness is a measure that quantifies the strength of a semantic link between
two concepts. Often, it can be efficiently approximated with methods that operate on words …