3/30/2023 0 Comments Content modules news siteviz![]() The evaluation of the proposal was based on recall and precision. The first one represents the traditional search and the second contained the index built based on the texts with the semantic annotations to represent the semantic search. To enable the comparison between the approaches, two databases were created based on the texts with the semantic annotations to represent the semantic search. In order to evaluate the performance of the proposed model, documents containing the main definitions of the financial risk domain were selected and indexed with and without semantic annotation. The results obtained demonstrated that the methodology can be used in the risco financeiro (financial risk) domain in Portuguese for the construction of an ontology and the lexical-semantic database and the proposal of a semantic information retrieval model. Therefore, the semi-automatic creation of a lexical database in Brazilian Portuguese containing morphological, syntactic, and semantic information that can be read by machines was proposed, allowing the link between structured and unstructured data and its integration into an information retrieval model to improve precision. This aims toīuild an encyclopedia of mathematical expressions of all existing semantic similarity measures inĪbstract The proposal presented in this study seeks to properly represent natural language to ontologies and vice-versa. Ilarity measure discovered will be classified and added to this document in order to remain up toĭate for end-users, tool developers and research communities interested in the field. This assumption, this document will be dynamic in nature in the way that any new semantic sim. Node-based, edge- or path-based and ‘hybrid’ categories, and that functional similarity measuresĪre classified into two main classes: Ontology- and non ontology-based measures. It is assumed that IC models are partitioned into two families: annotation and topology-based ICįamilies, the term semantic similarity approaches are divided into three main categories: IC- or ![]() Teins or genes that were introduced or updated for use in the context of the Gene Ontology (GO). (IC) models, term semantic similarity approaches and functional similarity measures between pro. This survey provides an overview of mathematical expressions of different term information content ![]()
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