Results 131 to 140 of about 343,488 (306)
Investigating text power in predicting semantic similarity
This article presents an empirical evaluation to investigate the distributional semantic power of abstract, body and full-text, as different text levels, in predicting the semantic similarity using a collection of open access articles from PubMed.
Zahra Yousefi +5 more
doaj
Semantic Similarity in the Gene Ontology [PDF]
Gene Ontology-based semantic similarity (SS) allows the comparison of GO terms or entities annotated with GO terms, by leveraging on the ontology structure and properties and on annotation corpora. In the last decade the number and diversity of SS measures based on GO has grown considerably, and their application ranges from functional coherence ...
openaire +2 more sources
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang +12 more
wiley +1 more source
Improving automatic GO annotation with semantic similarity. [PDF]
Sarker B +3 more
europepmc +1 more source
A Semantic Similarity Measure for Expressive Description Logics
A totally semantic measure is presented which is able to calculate a similarity value between concept descriptions and also between concept description and individual or between individuals expressed in an expressive description logic.
d'Amato, Claudia +2 more
core
Investigations on factors influencing HPO-based semantic similarity calculation [PDF]
Jiajie Peng, Qianqian Li, Xuequn Shang
openalex +1 more source
Lexical-Semantic Content, Not Syntactic Structure, Is the Main Contributor to ANN-Brain Similarity of fMRI Responses in the Language Network [PDF]
Carina Kauf +4 more
openalex +1 more source
Integrating Spatial Proteogenomics in Cancer Research
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang +13 more
wiley +1 more source
While the rich semantic information in trajectories enhances data mining potential, it simultaneously complicates similarity measures. Existing multidimensional similarity methods face two challenges: (1) high computational complexity of O(n × m × k ...
Juqing Liu +4 more
doaj +1 more source
SEMGROMI-a semantic grouping algorithm to identifying microservices using semantic similarity of user stories. [PDF]
Vera-Rivera FH +4 more
europepmc +1 more source

