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  2. Inference engine - Wikipedia

    en.wikipedia.org/wiki/Inference_engine

    In the field of artificial intelligence, an inference engine is a software component of an intelligent system that applies logical rules to the knowledge base to deduce new information. The first inference engines were components of expert systems. The typical expert system consisted of a knowledge base and an inference engine.

  3. Knowledge-based systems - Wikipedia

    en.wikipedia.org/wiki/Knowledge-based_systems

    The inference engine uses general-purpose reasoning methods to infer new knowledge and to solve problems in the problem domain. Most commonly, it employs forward chaining or backward chaining . Other approaches include the use of automated theorem proving , logic programming , blackboard systems , and term rewriting systems such as Constraint ...

  4. Knowledge retrieval - Wikipedia

    en.wikipedia.org/wiki/Knowledge_retrieval

    Knowledge retrieval seeks to return information in a structured form, consistent with human cognitive processes as opposed to simple lists of data items. It draws on a range of fields including epistemology (theory of knowledge), cognitive psychology, cognitive neuroscience, logic and inference, machine learning and knowledge discovery, linguistics, and information technology.

  5. Data collection - Wikipedia

    en.wikipedia.org/wiki/Data_collection

    Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, [2] and business ...

  6. Question answering - Wikipedia

    en.wikipedia.org/wiki/Question_answering

    Question answering systems in the context of [vague] machine reading applications have also been constructed in the medical domain, for instance related to [vague] Alzheimer's disease. [3] Open-domain question answering deals with questions about nearly anything and can only rely on general ontologies and world knowledge. Systems designed for ...

  7. Reading comprehension - Wikipedia

    en.wikipedia.org/wiki/Reading_comprehension

    There are many resources and activities educators and instructors of reading can use to help with reading strategies in specific content areas and disciplines. Some examples are graphic organizers, talking to the text, anticipation guides, double entry journals, interactive reading and note taking guides, chunking, and summarizing.

  8. Reciprocal teaching - Wikipedia

    en.wikipedia.org/wiki/Reciprocal_teaching

    Reciprocal teaching is an amalgamation of reading strategies that effective readers are thought to use. As stated by Pilonieta and Medina in their article "Reciprocal Teaching for the Primary Grades: We Can Do It, Too!", previous research conducted by Kincade and Beach (1996 ) indicates that proficient readers use specific comprehension strategies in their reading tasks, while poor readers do ...

  9. Comparison of research networking tools and research ...

    en.wikipedia.org/wiki/Comparison_of_research...

    Research networking (RN) is about using tools to identify, locate and use research and scholarly information about people and resources.Research networking tools (RN tools) serve as knowledge management systems for the research enterprise.