By Arvind Arasu, Shivnath Babu, Jennifer Widom (auth.), Georg Lausen, Dan Suciu (eds.)
This ebook constitutes the completely refereed post-proceedings of the ninth foreign Workshop on Database Programming Languages, DBPL 2003, held in Potsdam, Germany in September 2003.
The 14 revised complete papers provided including an invited paper have been conscientiously chosen in the course of around of reviewing and revision from 22 submissions. The papers are prepared in topical sections on static research, transactions, modeling facts and prone, novel functions of XML and XQuery, and XML processing and validation.
Read Online or Download Database Programming Languages: 9th International Workshop, DBPL 2003, Potsdam, Germany, September 6-8, 2003. Revised Papers PDF
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Additional resources for Database Programming Languages: 9th International Workshop, DBPL 2003, Potsdam, Germany, September 6-8, 2003. Revised Papers
And Whether each TDG can be translated to an equivalent expression in the fragment is still an open problem. It follows from this translation that deciding satisfiability of path expressions in is in NP. Theorem 3. Deciding satisfiability of path expressions in is in NP. Proof. Satisfiability of the path expression can be decided by translating it to the corresponding TDG and deciding if this is satisfiable. The translation can be done in PTIME and by Lemma 1 we can decide satisfiability of TDGs in NP.
If there is an annotation attached to the location (Person(112, “Joe”, 23), 3), we will write the tuple as Person(112, “Joe”, Conjunctive Query. Our results are based on conjunctive queries . A conjunctive query has the form where denote vectors of variables and every variable in occurs in for some Each is called a subgoal and each where is a relation name. The term is the head of the query. Variables in are called distinguished variables. A conjunctive query is said to contain views if one or more of its subgoals is defined by the head of another conjunctive query.
We construct for every CNF formula a path as follows. Let the variables in be For every literal we define a path such that is a path of steps of the form except step which is of the form and is the same except that step is of the form For example, for A clause is straightforwardly mapped to For example is Finally, the formula is mapped to It is easy to see that is satisfiable iff is satisfiable. Moreover, if is the length of then and will also be the upper-bound for the number of literals per clause, and therefore the size of will be in Theorem 9.