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Showing 1 to 20 of 103 for “"Knowledge bases"”.
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Effectiveness Analysis of Knowledge Bases
<p>Knowledge base systems (expert systems) are entering a critical stage as interest spreads from university research to practical applications. If knowledge base systems are to withstand this transition, special attention must be paid to checking their effectiveness. The issue of effectiveness …
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Leveraging Knowledge Bases in Web Text Processing
… Computer algorithms to process and extract knowledge from Web text have the potential not only to improve Web search, but also to collect a sizable fraction of human knowledge and use it to enable smarter artificial intelligence. To scale to the size and diversity of the Web, many Web text …
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Scalable Reasoning for Knowledge Bases Subject to Changes
… using a reasoning engine. The more complete the knowledge base is, the more helpful answers the system will provide. As the size of knowledge base increases, scalability becomes a challenge for the reasoning system. As users make changes to the knowledge base and/or new information is collected, …
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OWL-Miner: Concept Induction in OWL Knowledge Bases
… automated methods for the analysis of data and knowledge directly within these formalisms are of current interest. Concept induction is a technique for discovering descriptions of data, such as inducing OWL class expressions to describe RDF data. These class expressions capture patterns in the …
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OWL-Miner: Concept Induction in OWL Knowledge Bases
… automated methods for the analysis of data and knowledge directly within these formalisms are of current interest. Concept induction is a technique for discovering descriptions of data, such as inducing OWL class expressions to describe RDF data. These class expressions capture patterns in the …
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Expanding commonsense knowledge bases by learning from image tags
… facts to augment existing commonsense knowledge bases by using the metadata of large online image collections. Online image collections present a source of knowledge that is supported by many contributors, has good representation of objects and their properties, and is visual. The …
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Automatic Population of Structured Knowledge Bases via Natural Language Processing
The Web has evolved into a huge mine of knowledge carved in different forms, the predominant one still being the free-text document. This motivates the need for Intelligent Web-reading Agents: hypothetically, they would skim through disparate Web sources corpora and generate meaningful structured …
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Theories and Experiments of Cognitive Knowledge Bases for Machine Learning
… algorithms, and experiments on cognitive knowledge bases (CKBs) for machine knowledge learning in cognitive computing and computational linguistics. CKB is both the results and the means of machine learning methodologies mimicking human learning and semantic comprehensions. Technologies …
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Knowledge bases and stochastic algorithms for mining biological data: applications on A-to-I RNA editing and RNAi
Fino alla seconda metà del Novecento, il rapporto tra la Biologia e l Informatica era molto flebile e i dati venivano generalmente raccolti su materiali deperibili come la carta e stipati in schedari. Questa situazione è cambiata grazie all avvento della Bioinformatica, un campo relativamente …
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Knowledge bases, computational methods and data mining techniques with applications to A-to-I RNA editing, Synthetic Biology and RNA interference
La Bioinformatica, nota anche come Biologia Computazionale, è un campo relativamente nuovo che mira alla risoluzione di problemi biologici attraverso approcci computazionali. Questa scienza interdisciplinare persegue due obiettivi particolari tra i molti: da un lato, la costruzione di database …
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Interpretable fuzzy systems modeling with cooperation between expert and induced knowledge (Modelado de sistemas borrosos interpretables con cooperación entre conocimiento experto e inducido)
… easier the design process of interpretable knowledge bases. It considers both expert knowledge and knowledge extracted from data. The combination of both kinds of knowledge is likely to yield robust compact systems with a good trade-off between accuracy and interpretability. Fuzzy logic …
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On the Computation of Common Subsumers in Description Logics
Description logics (DL) knowledge bases are often build by users with expertise in the application domain, but little expertise in logic. To support this kind of users when building their knowledge bases a number of extension methods have been proposed to provide the user with concept descriptions …
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Formal Concept Analysis Methods for Description Logics
… methods: supporting bottom-up construction of DL knowledge bases, and completing DL knowledge bases. Its contribution to FCA research is on the computational complexity of computing generators of closed sets.
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Automating the moderation process in GEO using trust metrics
Distributed knowledge bases offer novel and fascinating ways to build, integrate and process knowledge. In these distributed knowledge bases, many users collaborate and contribute content. Verification and validation of the user's contributions become imperative for the success of these knowledge …
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Explanation for defeasible entailment
… facilities are an essential part of tools for knowledge representation and reasoning systems. Knowledge representation and reasoning systems allow users to capture information about the world and reason about it. They are useful in understanding entailments which allow users to derive implicit …
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Knowledge integration in machine reading
… of texts and, from the contents, building a knowledge base that supports automated reasoning and question answering. Success at this task could fundamentally solve the knowledge acquisition bottleneck – the widely recognized problem that knowledge-based AI systems are difficult and expensive to …
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A Turing Game for commonsense knowledge extraction
… of the field. Traditionally, commonsense knowledge is gathered by using humans to create and insert it in knowledge bases. Automating the collection of commonsense from text that is freely available can reduce the cost and effort of creating large knowledge bases and can enable systems …
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Integrating traditional ecological knowledge in South Africa's small-scale fisheries: the Olifants Estuary Gillnet Fishery
… dimension into small-scale fishery management is knowledge integration. Through pluralising epistemologies, knowledge integration fosters participative dialogue, improves current knowledge bases, and strengthens management...
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Joint Biomedical Event Extraction and Entity Linking via Iterative Collaborative Training
… the biomedical concepts by referring to external knowledge bases and the domain knowledge further provides additional clues to understand and extract the biological processes, while event extraction identifies a key trigger and entities involved to describe each biological process which also …
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Procesadores de textos como herramientas de soporte a la creación y mantenimiento de modelos de conocimiento
El desarrollo y mantenimiento de bases de conocimiento es una de las actividades más importantes en el ciclo de vida de un sistema de conocimiento. Esta actividad se puede realizar con ayuda de aplicaciones software denominadas herramientas de adquisición del conocimiento que guían el desarrollo y …
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