Spectral Composition of Semantic Spaces
2011 (English)Conference paper (Refereed)
Spectral theory in mathematics is key to the success of as
diverse application domains as quantum mechanics and latent semantic
indexing, both relying on eigenvalue decomposition for the localization
of their respective entities in observation space. This points at some
implicit \energy" inherent in semantics and in need of quanti cation.
We show how the structure of atomic emission spectra, and meaning in
concept space, go back to the same compositional principle, plus propose
a tentative solution for the computation of term, document and collection
Place, publisher, year, edition, pages
Springer , 2011.
latent semantic analysis, quantum-like theories, quantum interaction
Computer and Information Science Language Technology (Computational Linguistics)
Research subject Library and Information Science
IdentifiersURN: urn:nbn:se:hb:diva-6664Local ID: 2320/9692ISBN: 978-3-642-24970-9OAI: oai:DiVA.org:hb-6664DiVA: diva2:887363
QI-11, 5th International Quantum Interaction Symposium, Aberdeen, June, 2011.