Foundations of XML Processing by Haruo Hosoya

By Haruo Hosoya

Über das Produkt

This is the 1st ebook to supply an outstanding theoretical account of the root of the preferred info layout XML. workouts and examples of code fragments are integrated all through to reinforce knowing. This ebook is perfect for either scholars and researchers.


This is the 1st publication that gives a pretty good theoretical account of the root of the preferred info layout XML. half I establishes simple techniques, beginning with schemas, tree automata and development matching, and concluding with static typechecking for XML as a spotlight of the booklet. partly II, the writer turns his realization to extra complex subject matters, together with effective 'on-the-fly' tree automata algorithms, course- and logic-based queries, tree transformation, and certain typechecking. the writer offers many examples of code fragments to demonstrate good points, and routines to reinforce figuring out. hence the booklet could be excellent for college students and researchers no matter if simply starting, or skilled in XML examine.

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Text strings, which are not directly handled in our data model, can easily be encoded by representing each character c of a string as c[], a single node with no content. For instance, the string "foo" can be represented by f [], o[], o[]. ", which should be read following the above convention. Our family tree document shown earlier can be reformatted as follows in our formal notation: person[ name["Taro"], gender[male[]], spouse[ name["Hanako"], gender[female[]]], children[ person[ name["Ichiro"], gender[male[]]], person[ name["Umeko"], gender[female[]]]]] There are many other features in real XML documents that are not supported by our data model.

Also, since A is bottom-up deterministic and complete, there is a unique bottom-up run r on t. Then we can show that r(π ) ∈ r (π ) for all π ∈ nodes(t) by induction on the height of subtreet (π ), as follows. r For π ∈ leaves(t) we have r(π ) ∈ F = r (π ). r For labelt (π ) = a, we have r(π ) → a(r(π 1), r(π 2)) ∈ . Also, since r (π ) → a(r (π 1), r (π 2)) ∈ , we have r (π ) = {q | q → a(q1 , q2 ) ∈ , q1 ∈ r (π 1), q2 ∈ r (π 2)}. By the induction hypothesis, r(π 1) ∈ r (π 1) and r(π 2) ∈ r (π 2).

We write π1 ≤ π2 when π1 < π2 or π1 = π2 . The relation ≤ is called the self-or-descendant relation. Another relation that we occasionally use is the document order relation . Intuitively, this relation represents the ordering of nodes occurring in a depth-first left-to-right traversal of the tree, or, in another view, the ordering of nodes appearing in the XML document format. Despite its non-triviality, the definition of this relation is surprisingly simple: the lexicographic order on {1, 2}∗ .

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