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Formal Languages (1973)

by A Salomaa
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Combinatorics of words

by Christian Choffrut, Juhani Karhumäki - HANDBOOK OF FORMAL LANGUAGES , 1997
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Abstract - Cited by 145 (20 self) - Add to MetaCart
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Introduction to Membrane Computing

by Gheorghe Păun
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Abstract - Cited by 121 (7 self) - Add to MetaCart
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Formal and Computational Aspects of Natural Language Syntax

by Owen Rambow , 1994
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...erated a-substitution closure of G is the set of words derived from a word of L(G) by successively substituting a word of L(G) for each occurrence of a, until there are no occurrences of a left (see (=-=Salomaa, 1973, p.2-=-17) for a formal definition). Let G 5 = (V N ; VT ; V I ; P; S) with: VN = fS; A; Bg VT = fb,cg V I = fs b ; s c g P = fp 1 : \DeltaS \Gamma! A p 2 : \DeltaS \Gamma! " p 3 : A \Gamma! SAfs b g p ...

Monadic Datalog and the Expressive Power of Languages for Web Information Extraction.

by Georg Gottlob , Christoph Koch - Journal of the ACM , 2004
"... Abstract. Research on information extraction from Web pages (wrapping) has seen much activity recently (particularly systems implementations), but little work has been done on formally studying the expressiveness of the formalisms proposed or on the theoretical foundations of wrapping. In this pape ..."
Abstract - Cited by 89 (10 self) - Add to MetaCart
Abstract. Research on information extraction from Web pages (wrapping) has seen much activity recently (particularly systems implementations), but little work has been done on formally studying the expressiveness of the formalisms proposed or on the theoretical foundations of wrapping. In this paper, we first study monadic datalog over trees as a wrapping language. We show that this simple language is equivalent to monadic second order logic (MSO) in its ability to specify wrappers. We believe that MSO has the right expressiveness required for Web information extraction and propose MSO as a yardstick for evaluating and comparing wrappers. Along the way, several other results on the complexity of query evaluation and query containment for monadic datalog over trees are established, and a simple normal form for this language is presented. Using the above results, we subsequently study the kernel fragment Elog − of the Elog wrapping language used in the Lixto system (a visual wrapper generator). Curiously, Elog − exactly captures MSO, yet is easier to use. Indeed, programs in this language can be entirely visually specified.

Reasoning about Keys for XML

by Peter Buneman, Susan Davidson, Wenfei Fan, Carmem Hara, Wang-Chiew Tan
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Abstract - Cited by 79 (15 self) - Add to MetaCart
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Application Of Graph Transformation To Visual Languages

by R. Bardohl, G. Taentzer, M. Minas, A. Schürr , 1999
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Context-Free Languages and Push-Down Automata

by Jean-michel Autebert, Jean Berstel, Luc Boasson - HANDBOOK OF FORMAL LANGUAGES , 1997
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Abstract - Cited by 72 (0 self) - Add to MetaCart
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... parallel Turing machines nor of "succinctness" (see e.g. [52]), that is a measure of the size of the description of a language. We have chosen to present material which is not available in =-=textbooks [17, 29, 1, 47, 28, 4, 30, 32, 2]-=- (more precisely not available in more than one textbook) because it is on the borderline between classical stuff and advanced topics. However, we feel that a succinct exposition of these results may ...

On Verifying Consistency of XML Specifications

by Marcelo Arenas, Wenfei Fan, Leonid Libkin
"... XML specifications often consist of a type definition (typically, a DTD) and a set of integrity constraints. It has been shown previously that such specifications can be inconsistent, and thus it is often desirable to check consistency at compile-time. It is known that for general keys and foreign k ..."
Abstract - Cited by 49 (8 self) - Add to MetaCart
XML specifications often consist of a type definition (typically, a DTD) and a set of integrity constraints. It has been shown previously that such specifications can be inconsistent, and thus it is often desirable to check consistency at compile-time. It is known that for general keys and foreign keys, and DTDs, the consistency problem is undecidable; however, it becomes NP-complete when all keys are one-attribute (unary), and tractable, if no foreign keys are used.

Formal tree series

by Zoltán Ésik, Werner Kuich - J. AUTOM. LANG. COMBIN , 2003
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Abstract - Cited by 44 (1 self) - Add to MetaCart
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Efficient Incremental Validation of XML Documents

by Denilson Barbosa, Alberto O. Mendelzon, Leonid Libkin, Laurent Mignet, Marcelo Arenas - In ICDE , 2004
"... We discuss incremental validation of XML documents with respect to DTDs and XML Schema definitions. We consider insertions and deletions of subtrees, as opposed to leaf nodes only, and we also consider the validation of ID and IDREF attributes. For arbitrary schemas, we give a worstcase time an ..."
Abstract - Cited by 39 (2 self) - Add to MetaCart
We discuss incremental validation of XML documents with respect to DTDs and XML Schema definitions. We consider insertions and deletions of subtrees, as opposed to leaf nodes only, and we also consider the validation of ID and IDREF attributes. For arbitrary schemas, we give a worstcase time and linear space algorithm, and show that it often is far superior to revalidation from scratch. We present two classes of schemas, which capture most reallife DTDs, and show that they admit a logarithmic time incremental validation algorithm that, in many cases, requires only constant auxiliary space. We then discuss an implementation of these algorithms that is independent of, and can be customized for different storage mechanisms for XML. Finally, we present extensive experimental results showing that our approach is highly efficient and scalable.
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...tructed incrementally by examining the next symbol of w. 2.2.1. The Glushkov automaton of a regular expression. One way of representing regular expressions by finite automata was proposed by Glushkov =-=[21]-=-. In the Glushkov automaton of a regular expression E, states correspond to positions of E and transitions connect those positions that can be consecutive in a word in L(E′). First we define, for each...

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