By David J. Abel (auth.), Michel Scholl, Agnès Voisard (eds.)
This e-book constitutes the refereed court cases of the 5th overseas Symposium on Spatial Databases, SSD '97, held in Berlin, Germany, in July 1997.
The 18 revised complete papers provided have been conscientiously chosen from a complete of fifty five submissions. additionally integrated are keynote contributions. The papers are prepared in topical sections on spatial similarities, geo-algorithms, spatial constraint databases, spatial question processing, structures, spatial information types and spatial entry methods.
Read or Download Advances in Spatial Databases: 5th International Symposium, SSD '97 Berlin, Germany, July 15–18, 1997 Proceedings PDF
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Additional resources for Advances in Spatial Databases: 5th International Symposium, SSD '97 Berlin, Germany, July 15–18, 1997 Proceedings
2: the recursive character of the algorithm will open up several diﬀerent branches, each of them spawned by a diﬀerent way to restore a particular rule violation. 2) and only the best is kept; notice that the comparison is made at a position where the entire branch has been explored, so we know its total cost and can guarantee that no ignored branch can have “minimal” cost (so it can’t be an acceptable solution). The following corollary is immediate: Theorem 3. For the language, validity rules and ordering described in Section 4, the algorithm of Table 6 terminates for any input O ⊆ L+ , U ⊆ L and it can be used to implement a rational change operation.
1 is still true. , that ¬C IsA(B, y) is true for all y. , ¬C IsA(B, C) should be recorded as a side-eﬀect). , the addition of an IsA (say C IsA(C, B)). This could happen if, for example, an ontology contains C IsA(B, A), but not C IsA(C, A) (cf. Figure 3). 1, Table 4. , either ¬C IsA(B, A) or C IsA(C, A) could be selected as side-eﬀects). Notice that the selected side-eﬀects are updates themselves, so they are enforced upon the ontology by being executed along with the original update; moreover, they could, just like any update, cause additional side-eﬀects of their own.
In Section 4 we present a vocabulary which allows to express key and foreign key constraints inside an RDF graph. Section 5 ﬁnally concludes the paper. 2 Preliminaries We shall ﬁrst introduce the terminology we use in the sequel. We start with relational databases (cf. , Section 3). , Rn ). We use Att(R) to denote the set of attributes of the relation symbol R. e. a ﬁnite subset of the n-ary cartesian product over an underlying domain. An element μ ∈ I is called tuple. A to denote the value of the attribute A of the tuple μ.