SONAR: A Semantically Empowered Financial Search Engine View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2009

AUTHORS

Juan Miguel Gómez , Francisco García-Sánchez , Rafael Valencia-García , Ioan Toma , Carlos García Moreno

ABSTRACT

The increasingly huge volume of financial information found in a number of heterogeneous business sources is characterized by unstructured content, disparate data models and implicit knowledge. As Semantic Technologies mature, they provide a consistent and reliable basis to summon financial knowledge properly to the end user. In this paper, we present SONAR, a semantically enhanced financial search engine empowered by semi-structured crawling, inference-driven and ontology population strategies bypassing the present state-of-the-art technology caveats and shortcomings. More... »

PAGES

405-414

Book

TITLE

Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira’s Scientific Legacy

ISBN

978-3-642-02263-0
978-3-642-02264-7

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-02264-7_42

DOI

http://dx.doi.org/10.1007/978-3-642-02264-7_42

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1044558903


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