Results 1 to 10 of about 8,829,417 (294)
Knowledge Representation through Graphs [PDF]
Procedia Computer Science, 2015 Due to the increasing amount of data, knowledge aggregation, representation and reasoning are highly important for companies. In this paper, knowledge aggregation is presented as the first step. In the sequel, successful knowledge representation, for instance through graphs, enables knowledge-based reasoning.
Edy Portmann +2 more
core +4 more sources
Efficient Smooth Tensor Train and Tensor Ring Completion for Image Classification Enhancement
IEEE AccessThis paper deals with studying the data completion problem for enhancing the image classification task under the pixel removal scenario. In some applications, it happens that a part of the pixels of a given image is lost due to several issues, such as ...
Salman Ahmadi-Asl +5 more
doaj +1 more source
Knowledge Representation with Attribute Grammars [PDF]
The Computer Journal, 1986 Summary: The use of attribute grammars for knowledge representation is examined in the present paper. It is shown how data knowledge and knowledge-base knowledge can be represented using syntactic and semantic notation. Control knowledge is represented by the parsing mechanism of the interpreter used.
George K. Papakonstantinou, John Kontos
openaire +3 more sources
Frontiers in MedicineThe emergence of both task-specific single-modality models and general-purpose multimodal large models presents new opportunities, but also introduces challenges, particularly regarding adversarial attacks.
Ekaterina Mozhegova +5 more
doaj +1 more source
Knowledge representation with logic programs [PDF]
, 1998 In this overview we show how Knowledge Representation (KR) can be done with the help of generalized logic programs. We start by introducing the core of PROLOG, which is based on definite logic programs. Although this class is very restricted (and will be enriched by various additional features in the rest of the paper), it has a very nice property for ...
Gerhard Brewka, Jürgen Dix
openaire +2 more sources
Interpolation in Knowledge Representation
CoRRThe article will appear in Balder ten Cate, Jean Christoph Jung, Patrick Koopmann, Christoph Wernhard and Frank Wolter, editors. Theory and Applications of Craig Interpolation.
Jung, Jean Christoph +2 more
openaire +4 more sources
Representation Levels Within Knowledge Representation [PDF]
, 2007 Representation of knowledge is used to store and retrieve informational data in a machine. Since meaningcannot be directly stored in the computer; this work proposes a series of levels of representation. The meaning of the data is transformed to a format that the machine can use to store and retrieve knowledge.
Heather D. Pfeiffer +1 more
openaire +1 more source
Scientific Reports, 2023 The complexity of the cerebral cortex underlies its function and distinguishes us as humans. Here, we present a principled veridical data science methodology for quantitative histology that shifts focus from image-level investigations towards neuron ...
Andrija Štajduhar +4 more
doaj +1 more source
Knowledge representation with T
Artificial Intelligence Research, 2018 The universal representation language T proposed in the article is the set of linguistic items employed in the manner of a natural language with the purpose of information exchange between various communicators. The language is not confined to any particular representation domain, implementation, communicator or discourse type.
openaire +3 more sources
Towards a knowledge graph for pre-/probiotics and microbiota–gut–brain axis diseases
Scientific Reports, 2022 Scientific publications present biological relationships but are structured for human reading, making it difficult to use this resource for semantic integration and querying.
Ting Liu +4 more
doaj +1 more source