Ordered term tree languages which are polynomial time inductively inferable from positive data
Ordered term tree languages which are polynomial time inductively inferable from positive data
复制标题
DOI:
10.1016/j.tcs.2005.10.022
复制
发表时间:
2002-11
影响因子:
2.8
通讯作者:
Yusuke Suzuki;Takayoshi Shoudai;Tomoyuki Uchida;T. Miyahara
中科院分区:
文献类型:
--
作者:
Yusuke Suzuki;Takayoshi Shoudai;Tomoyuki Uchida;T. Miyahara
In the fields of data mining and knowledge discovery, many semistructured data such as HTML/XML files are represented by rooted trees t such that all children of each internal vertex of t are ordered and t has edge labels. In order to represent structural features common to such semistructured data, we propose a linear ordered term tree, which is a rooted tree pattern consisting of ordered tree structures and internal structured variables with distinct variable labels. For a set of edge labels Λ, let OTTΛbe the set of all linear ordered term trees. For a linear ordered term tree t in OTTΛ, the term tree language of t, denoted by LΛ(t), is the set of all ordered trees obtained from t by substituting arbitrary ordered trees for all variables in t. Given a set of ordered trees S, the minimal language problem for OTTLΛ={LΛ(t)∣t∈OTTΛ} is to find a linear ordered term tree t in OTTΛsuch that LΛ(t) is minimal among all term tree languages which contain all ordered trees in S. We show that the class OTTLΛis polynomial time inductively inferable from positive data, by giving a polynomial time algorithm for solving the minimal language problem for OTTLΛ.