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  2. Semantic similarity - Wikipedia

    en.wikipedia.org/wiki/Semantic_similarity

    Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between items is based on the likeness of their meaning or semantic content [citation needed] as opposed to lexicographical similarity. These are mathematical tools used to estimate the strength of the semantic relationship between units of ...

  3. Similarity search - Wikipedia

    en.wikipedia.org/wiki/Similarity_search

    Similarity search is the most general term used for a range of mechanisms which share the principle of searching (typically very large) spaces of objects where the only available comparator is the similarity between any pair of objects. This is becoming increasingly important in an age of large information repositories where the objects ...

  4. Semantic search - Wikipedia

    en.wikipedia.org/wiki/Semantic_search

    Semantic search denotes search with meaning, as distinguished from lexical search where the search engine looks for literal matches of the query words or variants of them, without understanding the overall meaning of the query. [1] Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning ...

  5. Automatic image annotation - Wikipedia

    en.wikipedia.org/wiki/Automatic_image_annotation

    Output of DenseCap "dense captioning" software, analysing a photograph of a man riding an elephant. Automatic image annotation (also known as automatic image tagging or linguistic indexing) is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image.

  6. Semantic gap - Wikipedia

    en.wikipedia.org/wiki/Semantic_gap

    Image analysis is a typical domain for which a high degree of abstraction from low-level methods is required, and where the semantic gap immediately affects the user. If image content is to be identified to understand the meaning of an image, the only available independent information is the low-level pixel data.

  7. Structural similarity index measure - Wikipedia

    en.wikipedia.org/wiki/Structural_similarity...

    In order to evaluate the image quality, this formula is usually applied only on luma, although it may also be applied on color (e.g., RGB) values or chromatic (e.g. YCbCr) values. The resultant SSIM index is a decimal value between -1 and 1, where 1 indicates perfect similarity, 0 indicates no similarity, and -1 indicates perfect anti-correlation.

  8. Semantic similarity network - Wikipedia

    en.wikipedia.org/wiki/Semantic_similarity_network

    A semantic similarity network (SSN) is a special form of semantic network. [ 1 ] designed to represent concepts and their semantic similarity. Its main contribution is reducing the complexity of calculating semantic distances.

  9. Similarity - Wikipedia

    en.wikipedia.org/wiki/Similarity

    Similarity (geometry), the property of sharing the same shape; Matrix similarity, a relation between matrices; Similarity measure, a function that quantifies the similarity of two objects Cosine similarity, which uses the angle between vectors; String metric, also called string similarity; Semantic similarity, in computational linguistics