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      <title-group>
        <article-title>Towards Spatio-Temporal Reasoning in Description Logic f-ALC(D)-LTL</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Haitao Cheng</string-name>
          <email>chenghaitao@yahoo.com</email>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Zongmin Ma</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>College of Computer Science &amp; Technology, Nanjing University of Aeronautics and Astronautics Nanjing</institution>
          ,
          <addr-line>211106</addr-line>
          ,
          <country country="CN">China</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks</institution>
          ,
          <addr-line>Nanjing 210003</addr-line>
          ,
          <country country="CN">China</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>School of Computer Science, Nanjing University of Posts and Telecommunications</institution>
          ,
          <addr-line>Nanjing 210023</addr-line>
          ,
          <country country="CN">China</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>With the emergence of fuzzy spatio-temporal knowledge, the representation and reasoning of fuzzy spatio-temporal knowledge have become one of the hot research issues in the elds of visual object tracking and GIS [1] [2]. Description logics (DLs), as a formal language of knowledge representation, have been widely used in the elds of computer science and arti cial intelligence [3]. Hence, how to extend DLs to realize the representation and reasoning of fuzzy spatio-temporal knowledge needs to be solved. In this work, we propose a fuzzy spatio-temporal description logic named f-ALC(D)-LTL that extends spatial fuzzy description logic f-ALC(D) [4] with linear temporal logic LTL [5]. In f-ALC(D)-LTL, vagueness is included through the standard Goedel semantics, space through a concrete domain of RCC-8 spacial operators, and time through a sequence of interpretations in the style of LTL connectives. Let C; R; T; I and O be a disjoint set of concept names, abstract roles names, concrete roles names, abstract individual names and fuzzy spatial regions names. Also, let R2 R be an abstract role and T2 T be a concrete role, d 2 fC, DC, P, PP, EQ, O, DR, PO, EC, NTP, TPP, NTTPg [6]. The f-ALC(D)LTL atomic formulas are given by :: = hC1 v C2 ./ ni j hC1(a) ./ ni j hR(a; b) ./ ni j hT (a; o) ./ ni j hd(o1; o2) ./ ni where C1; D1 2 C, R 2 R, T 2 T, a, b 2 I, o; o1; o2 2 O, ./2 f ; &gt;; &lt;; g, n2 [0, 1]. The f-ALC(D)-LTL formulas ' is the smallest set containing the atomic formulas such that: (i) if is an atomic formula, then is an f-ALC(D)-LTL formula; (ii) if '1; '2 are fALC(D)-LTL formulas, then so are :'1, '1, '1 _ '2, '1 ^ '2 and '1U '2, where temporal operators and U mean that next and until, respectively. The semantic interpretation I of f-ALC(D)-LTL can be de ned as an in nite sequence I(0), I(1), , I(w) of fuzzy interpretations (see Fig. 1 for semantic interpretation). De nition 1 (Truth). Given a temporal model M = h=; Ii and arbitrary time point (or state) w 2 W . At time point w, the truth of f-ALC(D)-LTL formulas ' (denoted by (M; w) ') is de ned inductively as follows: (M; w) hC1 v C2 ./ ni i infa24I (C1I(w)(a) ) CI(w)(a)) 2</p>
      </abstract>
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    <sec id="sec-1">
      <title>-</title>
      <p>(M; w)</p>
      <p>hC1(a) ./ ni i C1I(w)(a) ./ n
? corresponding author</p>
      <p>Haitao Cheng, and Zongmin Ma
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hR(a; b) ./ ni i RI(w)(a; b) ./ n
hT (a; o) ./ ni i T I(w)(a; o) ./ n
hd(o1; o2) ./ ni i dI(w)(o1; o2) ./ n
:' i (M; w) 2 '
'1 _ '2 i (M; w) '1 _ (M; w) '2
'1 ^ '2 i (M; w) '1 ^ (M; w) '2
'1U '2 i 9v &gt; w, 8k 2 (w, v) s.t (M; v)
'2 and (M; k)
'1
De nition 2 (Satis ability). Let M = h=; Ii be a temporal model. An
fALC(D)-LTL formulas ' is satis able i there is a temporal model M such
that (M; w0) ', where w0 2 W is an initial state or an initial time point.</p>
      <p>
        The satis ability problem of f-ALC(D)-LTL formulas ' is a basic reasoning
problem. Thus, we propose a tableau-based reasoning algorithm for determining
satis ability of f-ALC(D)-LTL formula. Our algorithm is based on the tableau
algorithm for PLTL proposed by Wolper [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ]. Similar to [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ], our algorithm consists
of two phases: (i) tableau construction, and (ii) tableau elimination. The rst
phase can obtain a complete tableau by applying a series of tableau rules for
a given formula '. The second phase can eliminate some unsatis able nodes of
the complete tableau by repeatedly applying elimination rules. We also show
the termination, soundness, and completeness of the tableau algorithm using
Hintikka structure [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ]. As a result, the satis ability problem of f-ALC(D)-LTL
formula ' is decidable.
      </p>
      <p>
        Technical details and references to relevant work can be found in the full
paper: Haitao Cheng, Zongmin Ma. f-ALC(D)-LTL: A Fuzzy Spatio-Temporal
Description Logic, In Proceedings of the 10th International Conference on
Knowledge Science, Engineering and Management(KSEM 2017), pages 93-105[
        <xref ref-type="bibr" rid="ref10">10</xref>
        ]. This
work is supported by National Key R&amp;D Program of China (No.2018YFB1003201),
National Natural Science Foundation of China (No.61672296, No.61602261),
Major Natural Science Research Projects in Colleges and Universities of Jiangsu
Province (No. 18KJA520008), and NUPTSF(No.NY217133).
      </p>
      <p>Towards Spatio-Temporal Reasoning in Description Logic f-ALC(D)-LTL</p>
    </sec>
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