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Similarity of Semantic Relations [PDF]
There are at least two kinds of similarity. Relational similarity is correspondence between relations, in contrast with attributional similarity, which is correspondence between attributes. When two words have a high degree of attributional similarity,
Peter D. Turney
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Effective semantic search using thematic similarity
Most existing semantic search systems expand search keywords using domain ontology to deal with semantic heterogeneity. They focus on matching the semantic similarity of individual keywords in a multiple-keywords query; however, they ignore the semantic ...
Sharifullah Khan, Jibran Mustafa
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Multi-domain semantic similarity in biomedical research
Background Given the increasing amount of biomedical resources that are being annotated with concepts from more than one ontology and covering multiple domains of knowledge, it is important to devise mechanisms to compare these resources that take into ...
João D. Ferreira, Francisco M. Couto
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MCRWR: a new method to measure the similarity of documents based on semantic network
Background Besides Boolean retrieval with medical subject headings (MeSH), PubMed provides users with an alternative way called “Related Articles” to access and collect relevant documents based on semantic similarity.
Xianwei Pan +3 more
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Semantic ECG hash similarity graph
Graph-based methods have made significant progress in addressing the dependent correlations among ECG time series variables. However, most existing graph structures primarily focus on local similarity while overlooking global semantic correlation ...
Yixian Fang, Shilin Zhang, Yuwei Ren
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An Enhanced Semantic Focused Web Crawler Based on Hybrid String Matching Algorithm
Topic precise crawler is a special purpose web crawler, which downloads appropriate web pages analogous to a particular topic by measuring cosine similarity or semantic similarity score.
Sakunthala Prabha K. S. +2 more
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Comparison of Methods for Assessing the Semantic Similarity of Text Fragments
With the rapid growth of text data, there is a need for methods capable of effectively comparing text fragments by meaning, including cases of paraphrasing, synonymization, and sentence restructuring.
K. Krez +3 more
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Linking Datasets Using Semantic Textual Similarity
Linked data has been widely recognized as an important paradigm for representing data and one of the most important aspects of supporting its use is discovery of links between datasets.
McCrae John P., Buitelaar Paul
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Current mainstream methods for computing word similarity often struggle to precisely capture the fine-grained semantics of words across different contexts.
XiaoHong Peng +4 more
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simona: a comprehensive R package for semantic similarity analysis on bio-ontologies
Background Bio-ontologies are keys in structuring complex biological information for effective data integration and knowledge representation. Semantic similarity analysis on bio-ontologies quantitatively assesses the degree of similarity between ...
Zuguang Gu
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