Publications

@conference{Tré2016,

title = {Indexing possibilistic temporal data in a database of medieval charters},

author = {G. De Tré and C. Billiet and A. Bronselaer and C. D. Barranco},

doi = {10.1109/FUZZ-IEEE.2016.7737994},

year  = {2016},

date = {2016-04-01},

booktitle = {2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)},

pages = {2401-2408},

abstract = {Querying large databases containing imperfect data requires efficient indexing techniques. Without such techniques query processing would simply take too much time. Considering a possibility based database modelling approach, imperfect data are modelled using a possibility distribution. The possibility distributions used for data modelling in different database records have to be indexed in order to support a faster processing of query conditions that act on the imperfect data. In this paper we study the indexing of imperfect temporal data in the Diplomata Belgica database, which has been co-developed by our research group. Diplomata Belgica is a relational database describing medieval charters written and issued in the southern Low Countries. More specifically, we study how imperfect data on the issuing date of a charter can be modelled and indexed in order to support searches for charters with an issuing date that is compatible with `fuzzy' query preferences provided by the user. A novel, so-called Interval B+-Tree (IBPT) indexing technique is proposed and some illustrative examples of (the handling of) complex, realistic queries are given.},

keywords = {Fuzzy systems},

pubstate = {published},

tppubtype = {conference}

}

@conference{Barranco2007,

title = {A Low Implementation Cost Alternative for Indexing Fuzzy Numerical Data},

author = {C. D. Barranco and J. R. Campaña and J. M. Medina},

doi = {10.1109/FUZZY.2007.4295627},

issn = {1098-7584},

year  = {2007},

date = {2007-07-23},

booktitle = {2007 IEEE International Fuzzy Systems Conference},

pages = {1-6},

abstract = {The paper introduces an indexing technique for fuzzy numerical data for queries involving possibility measured flexible conditions. The proposal is based on a classical indexing mechanism for numerical crisp data, b+trees, which is implemented in most of commercial Database Management Systems (DBMS). This fact, makes the proposed technique a good candidate to be integrated in a fuzzy DBMS when it is developed as an extension of a crisp DBMS.},

keywords = {Fuzzy systems},

pubstate = {published},

tppubtype = {conference}

}