Quantitative semantics and soft computing methods for the Web perspectives and applications /

"This book provides relevant theoretical frameworks and the latest empirical research findings related to quantitative, soft-computing and approximate methods for dealing with Internet semantics"--Provided by publisher.

Bibliographic Details
Corporate Author: IGI Global.
Other Authors: Brena, Ramon F., 1954-, Guzmán, Adolfo.
Format: Electronic
Language:English
Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), 2011.
Subjects:
Online Access:Chapter PDFs via platform:
Table of Contents:
  • 1.Clustering via centroids a bag of qualitative values and measuring its inconsistency / Adolfo Guzman-Arenas and Alma-Delia Cuevas
  • 2.Probabilistic topic discovery and automatic document tagging / Davide Magatti and Fabio Stella
  • 3.Smoothing text representation models based on rough set / Zhihua Wei, Duoqian Miao, Ruizhi Wang and Zhifei Zhang
  • 4.Query based topic modeling: an information-theoretic framework for semantic analysis in large-scale collections / Eduardo H. Ramírez and Ramón F. Brena
  • 5.Combining diverse knowledge based features for semantic relatedness measures / Anna Lisa Gentile, Ziqi Zhang and Fabio Ciravegna
  • 6.Web search results discovery by multi-granular graphs / Gloria Bordogna, Alessandro Campi, Giuseppe Psaila and Stefania Ronchi
  • 7.Learning full-sentence co-related verb argument preferences from Web corpora / Hiram Calvo, Kentaro Inui and Yuji Matsumoto
  • 8.Evaluating and enhancing contextual search with semantic similarity data / Ana Gabriela Maguitman, Carlos M. Lorenzetti and Rocío L. Cecchini
  • 9.Document search images in text collections for restricted domains on websites / Pavel Makagonov, Celia B.Reyes E. and Grigori Sidorov
  • 10.Maximal sequential patterns: a tool for quantitative semantic in text analysis / René Arnulfo García-Hernández, J. Fco. Martn̕ez-Trinidad and J. Ariel Carrasco-Ochoa
  • 11.Topic discovery in Web collections via graph local clustering / Sara Elena Garza Villarreal and Ramón Brena.