[图书][B] Semantic similarity from natural language and ontology analysis
Artificial Intelligence federates numerous scientific fields in the aim of developing machines
able to assist human operators performing complex treatments---most of which demand high …
able to assist human operators performing complex treatments---most of which demand high …
[HTML][HTML] A framework for unifying ontology-based semantic similarity measures: A study in the biomedical domain
Ontologies are widely adopted in the biomedical domain to characterize various resources
(eg diseases, drugs, scientific publications) with non-ambiguous meanings. By exploiting the …
(eg diseases, drugs, scientific publications) with non-ambiguous meanings. By exploiting the …
Semantic measures for the comparison of units of language, concepts or instances from text and knowledge base analysis
Semantic measures are widely used today to estimate the strength of the semantic
relationship between elements of various types: units of language (eg, words, sentences …
relationship between elements of various types: units of language (eg, words, sentences …
User centered and ontology based information retrieval system for life sciences
Background Because of the increasing number of electronic resources, designing efficient
tools to retrieve and exploit them is a major challenge. Some improvements have been …
tools to retrieve and exploit them is a major challenge. Some improvements have been …
Towards an ontology-based retrieval of UML Class Diagrams
CONTEXT: Software Reuse has always been an important area amongst software
companies in order to increase their productivity and the quality of their products, but code …
companies in order to increase their productivity and the quality of their products, but code …
How ontology based information retrieval systems may benefit from lexical text analysis
The exponential growth of available electronic data is almost useless without efficient tools
to retrieve the right information at the right time. This is especially crucial in the context of …
to retrieve the right information at the right time. This is especially crucial in the context of …
A temporal ontology guided clustering methodology with a case study on detection and tracking of artificial intelligence topics
Detection and tracking of topics from publicly available academic data can benefit the
scientific community and other stakeholders throughout their investment and other …
scientific community and other stakeholders throughout their investment and other …
Integrating ontological knowledge for iterative causal discovery and visualization
Bayesian networks (BN) have been used for prediction or classification tasks in various
domains. In the first applications, the BN structure was causally defined by expert …
domains. In the first applications, the BN structure was causally defined by expert …
Subontology extraction using hyponym and hypernym closure on is-a directed acyclic graphs
Ontologies are successfully used as semantic guides when navigating through the huge and
ever increasing quantity of digital documents. Nevertheless, the size of numerous domain …
ever increasing quantity of digital documents. Nevertheless, the size of numerous domain …
A Game with a Purpose for Building Crowdsourced Semantic Relations Datasets for Named Entities
AF dos Santos, JP Leal - Science and Information Conference, 2023 - Springer
Semantic measures evaluate and compare the strength of relations between entities. To
assess their accuracy, semantic measures are compared against human-generated gold …
assess their accuracy, semantic measures are compared against human-generated gold …