@inproceedings{11dabf0ce3514f668b9073fb931a9efc,
title = "Extracting threshold conceptual structures from web documents",
abstract = "In this paper we describe an iterative approach based on formal concept analysis to refine the information retrieval process. Based on weights for ranking documents we define a weighted formal context. We use a Galois connection to introduce a new type of formal concept that allows us to work with specific thresholds for searching words in Web documents. By increasing the threshold, we obtain smaller lattices with more relevant concepts, thus improving the retrieval of more specific items. We use techniques for processing large data sets in parallel, to generate sequences of Galois lattices, overcoming the time complexity of building a lattice for an entire large context.",
keywords = "information retreival, derivation operator, concept lattice, formal context, formal concept analysis",
author = "Gabriel Ciobanu and Ross Horne and Cristian Vǎideanu",
year = "2014",
month = jul,
day = "17",
doi = "10.1007/978-3-319-08389-6_12",
language = "English",
isbn = "9783319083889",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "130--144",
editor = "Nathalie Hernandez and Robert J{\"a}schke and Madalina Croitoru",
booktitle = "Graph-Based Representation and Reasoning",
note = "21st International Conference on Conceptual Structures, ICCS 2014 ; Conference date: 27-07-2014 Through 30-07-2014",
}