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  2. Semantic search - Wikipedia

    en.wikipedia.org/wiki/Semantic_search

    Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results. Some authors regard semantic search as a set of techniques for retrieving knowledge from richly ...

  3. Semantic data model - Wikipedia

    en.wikipedia.org/wiki/Semantic_data_model

    A semantic data model ( SDM) is a high-level semantics-based database description and structuring formalism ( database model) for databases. This database model is designed to capture more of the meaning of an application environment than is possible with contemporary database models. An SDM specification describes a database in terms of the ...

  4. Selenium (software) - Wikipedia

    en.wikipedia.org/wiki/Selenium_(software)

    Selenium runs on Windows, Linux, and macOS. It is open-source software released under the Apache License 2.0 . Selenium is an open-source automation framework for web applications, enabling testers and developers to automate browser interactions and perform functional testing. With versatile tools like WebDriver, Selenium supports various ...

  5. List of academic databases and search engines - Wikipedia

    en.wikipedia.org/wiki/List_of_academic_databases...

    The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is available.

  6. Web scraping - Wikipedia

    en.wikipedia.org/wiki/Web_scraping

    Web scraping is the process of automatically mining data or collecting information from the World Wide Web. It is a field with active developments sharing a common goal with the semantic web vision, an ambitious initiative that still requires breakthroughs in text processing, semantic understanding, artificial intelligence and human-computer interactions.

  7. Gensim - Wikipedia

    en.wikipedia.org/wiki/Gensim

    Website. radimrehurek .com /gensim /. Gensim is an open-source library for unsupervised topic modeling, document indexing, retrieval by similarity, and other natural language processing functionalities, using modern statistical machine learning . Gensim is implemented in Python and Cython for performance. Gensim is designed to handle large text ...

  8. Semantic query - Wikipedia

    en.wikipedia.org/wiki/Semantic_Query

    Semantic queries work on named graphs, linked data or triples. This enables the query to process the actual relationships between information and infer the answers from the network of data. This is in contrast to semantic search, which uses semantics (meaning of language constructs) in unstructured text to produce a better search result.

  9. Schema-agnostic databases - Wikipedia

    en.wikipedia.org/wiki/Schema-agnostic_Databases

    Schema-agnostic databases or vocabulary-independent databases aim at supporting users to be abstracted from the representation of the data, supporting the automatic semantic matching between queries and databases. Schema-agnosticism is the property of a database of mapping a query issued with the user terminology and structure, automatically ...