d6a06fe092
as possible.
476 lines
17 KiB
Plaintext
476 lines
17 KiB
Plaintext
\documentclass[11pt]{article}
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\usepackage{pl}
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\usepackage{html}
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\usepackage{times}
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\onefile
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\htmloutput{html} % Output directory
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\htmlmainfile{index} % Main document file
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\bodycolor{white} % Page colour
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\newcommand{\elem}[1]{{\tt\string<#1\string>}}
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\begin{document}
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\title{SWI-Prolog RDF parser}
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\author{Jan Wielemaker \\
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HCS, \\
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University of Amsterdam \\
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The Netherlands \\
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E-mail: \email{jan@swi-prolog.org}}
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\maketitle
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\begin{abstract}
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\url[RDF]{http://www.w3.org/RDF/} ({\bf R}esource {\bf D}escription {\bf
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F}ormat) is a \url[W3C]{http://www.w3.org/} standard for expressing
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meta-data about web-resources. It has two representations providing
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the same semantics. RDF documents are normally transferred as XML
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documents using the RDF-XML syntax. This format is unsuitable for
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processing. The parser defined here converts an RDF-XML document into
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the \jargon{triple} notation. The library \pllib{rdf_write} creates
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an RDF/XML document from a list of triples.
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\end{abstract}
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\vfill
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\tableofcontents
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\vfill
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\vfill
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\newpage
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\section{Introduction}
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RDF is a promising standard for representing meta-data about documents
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on the web as well as exchanging frame-based data (e.g. ontologies). RDF
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is often associated with `semantics on the web'. It consists of a formal
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data-model defined in terms of \jargon{triples}. In addition, a
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\jargon{graph} model is defined for visualisation and an XML application
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is defined for exchange.
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`Semantics on the web' is also associated with the Prolog programming
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language. It is assumed that Prolog is a suitable vehicle to reason with
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the data expressed in RDF models. Most of the related web-infra
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structure (e.g. XML parsers, DOM implementations) are defined in Java,
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Perl, C or C+{+}.
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Various routes are available to the Prolog user. Low-level XML parsing
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is due to its nature best done in C or C+{+}. These languages produce
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fast code. As XML/SGML are at the basis of most of the other web-related
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formats we will benefit most here. XML and SGML, being very stable
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specifications, make fast compiled languages even more attractive.
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But what about RDF? RDF-XML is defined in XML, and provided with a
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Prolog term representing the XML document processing it according to the
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RDF syntax is quick and easy in Prolog. The alternative, getting yet
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another library and language attached to the system, is getting less
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attractive. In this document we explore the suitability of Prolog for
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processing XML documents in general and into RDF in particular.
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\section{Parsing RDF in Prolog}
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We realised an RDF compiler in Prolog on top of the {\bf sgml2pl}
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package (providing a name-space sensitive XML parser). The
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transformation is realised in two passes.
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The first pass rewrites the XML term into a Prolog term conveying the
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same information in a more friendly manner. This transformation is
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defined in a high-level pattern matching language defined on top of
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Prolog with properties similar to DCG (Definite Clause Grammar).
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The source of this translation is very close to the BNF notation used by
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the \url[specification]{http://www.w3.org/TR/REC-rdf-syntax/}, so
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correctness is `obvious'. Below is a part of the definition for RDF
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containers. Note that XML elements are represented using a term of the
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format:
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\begin{quote}
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\term{element}{Name, [AttrName = Value...], [Content ...]}
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\end{quote}
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\begin{code}
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memberElt(LI) ::=
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\referencedItem(LI).
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memberElt(LI) ::=
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\inlineItem(LI).
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referencedItem(LI) ::=
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element(\rdf(li),
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[ \resourceAttr(LI) ],
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[]).
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inlineItem(literal(LI)) ::=
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element(\rdf(li),
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[ \parseLiteral ],
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LI).
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inlineItem(description(description, _, _, Properties)) ::=
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element(\rdf(li),
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[ \parseResource ],
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\propertyElts(Properties)).
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inlineItem(LI) ::=
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element(\rdf(li),
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[],
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[\rdf_object(LI)]), !. % inlined object
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inlineItem(literal(LI)) ::=
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element(\rdf(li),
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[],
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[LI]). % string value
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\end{code}
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Expression in the rule that are prefixed by the \verb$\$ operator acts
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as invocation of another rule-set. The body-term is converted into
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a term where all rule-references are replaced by variables. The
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resulting term is matched and translation of the arguments is achieved
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by calling the appropriate rule. Below is the Prolog code for the
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{\bf referencedItem} rule:
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\begin{code}
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referencedItem(A, element(B, [C], [])) :-
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rdf(li, B),
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resourceAttr(A, C).
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\end{code}
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Additional code can be added using a notation close to the Prolog
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DCG notation. Here is the rule for a description, producing
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properties both using {\bf propAttrs} and {\bf propertyElts}.
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\begin{code}
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description(description, About, BagID, Properties) ::=
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element(\rdf('Description'),
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\attrs([ \?idAboutAttr(About),
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\?bagIdAttr(BagID)
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| \propAttrs(PropAttrs)
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]),
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\propertyElts(PropElts)),
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{ !, append(PropAttrs, PropElts, Properties)
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}.
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\end{code}
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\section{Predicates}
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The parser is designed to operate in various environments and therefore
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provides interfaces at various levels. First we describe the top level
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defined in \pllib{rdf}, simply parsing a RDF-XML file into a list of
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triples. Please note these are {\em not} asserted into the database
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because it is not necessarily the final format the user wishes to reason
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with and it is not clean how the user wants to deal with multiple RDF
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documents. Some options are using global URI's in one pool, in Prolog
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modules or using an additional argument.
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\begin{description}
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\predicate{load_rdf}{2}{+File, -Triples}
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Same as \term{load_rdf}{File, Triples, []}.
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\predicate{load_rdf}{3}{+File, -Triples, +Options}
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Read the RDF-XML file \arg{File} and return a list of \arg{Triples}.
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\arg{Options} defines additional processing options. Currently defined
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options are:
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\begin{description}
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\termitem{base_uri}{BaseURI}
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If provided local identifiers and identifier-references are globalised
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using this URI. If omited or the atom \verb$[]$, local identifiers are
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not tagged.
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\termitem{blank_nodes}{Mode}
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If \arg{Mode} is \const{share} (default), blank-node properties (i.e.\
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complex properties without identifier) are reused if they result in
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exactly the same triple-set. Two descriptions are shared if their
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intermediate description is the same. This means they should produce the
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same set of triples in the same order. The value \const{noshare} creates
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a new resource for each blank node.
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\termitem{expand_foreach}{Boolean}
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If \arg{Boolean} is \const{true}, expand \const{rdf:aboutEach} into
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a set of triples. By default the parser generates
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\term{rdf}{each(Container), Predicate, Subject}.
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\termitem{lang}{Lang}
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Define the initial language (i.e.\ pretend there is an \const{xml:lang}
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declaration in an enclosing element).
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\termitem{ignore_lang}{Bool}
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If \const{true}, \const{xml:lang} declarations in the document are
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ignored. This is mostly for compatibility with older versions of
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this library that did not support language identifiers.
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\termitem{convert_typed_literal}{:ConvertPred}
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If the parser finds a literal with the \const{rdf:datatype}=\arg{Type}
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attribute, call \term{ConvertPred}{+Type, +Content, -Literal}.
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\arg{Content} is the XML element contentas returned by the XML
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parser (a list). The predicate must unify \arg{Literal}
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with a Prolog representation of \arg{Content} according to
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\arg{Type} or throw an exception if the conversion cannot be made.
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This option servers two purposes. First of all it can be used
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to ignore type declarations for backward compatibility of this
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library. Second it can be used to convert typed literals to
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a meaningful Prolog representation. E.g.\ convert '42' to the
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Prolog integer 42 if the type is \const{xsd:int} or a related
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type.
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\termitem{namespaces}{-List}
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Unify \arg{List} with a list of \arg{NS}=\arg{URL} for each
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encountered \const{xmlns}:\arg{NS}=\arg{URL} declaration found
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in the source.
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\termitem{entity}{+Name, +Value}
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Overrule entity declaration in file. As it is common practice
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to declare namespaces using entities in RDF/XML, this option
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allows for changing the namespace without changing the file.
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Multiple of these options are allowed.
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\end{description}
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The \arg{Triples} list is a list of \term{rdf}{Subject, Predicate,
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Object} triples. \arg{Subject} is either a plain resource (an atom),
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or one of the terms \term{each}{URI} or \term{prefix}{URI} with the
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obvious meaning. \arg{Predicate} is either a plain atom for
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explicitely non-qualified names or a term
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\mbox{\arg{NameSpace}{\bf :}\arg{Name}}. If \arg{NameSpace} is the
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defined RDF name space it is returned as the atom \const{rdf}.
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Finally, \arg{Object} is a URI, a \arg{Predicate} or a term of the
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format \term{literal}{Value} for literal values. \arg{Value} is
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either a plain atom or a parsed XML term (list of atoms and elements).
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\end{description}
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\subsection{RDF Object representation} \label{sec:rdfobject}
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The \emph{Object} (3rd) part of a triple can have several different
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types. If the object is a resource it is returned as either a plain
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atom or a term \mbox{\arg{NameSpace}{\bf :}\arg{Name}}. If it is a
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literal it is returned as \term{literal}{Value}, where \arg{Value}
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takes one of the formats defined below.
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\begin{itemlist}
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\item [An atom]
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If the literal \arg{Value} is a plain atom is a literal value not
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subject to a datatype or \const{xml:lang} qualifier.
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\item [\term{lang}{LanguageID, Atom}]
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If the literal is subject to an \const{xml:lang} qualifier
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\arg{LanguageID} specifies the language and \arg{Atom} the
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actual text.
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\item [A list]
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If the literal is an XML literal as created by
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\mbox{parseType="Literal"}, the raw output of the XML parser for the
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content of the element is returned. This content is a list of
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\term{element}{Name, Attributes, Content} and atoms for CDATA parts as
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described with the SWI-Prolog \url[SGML/XML
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parser]{http://www.swi-prolog.org/packages/sgml2pl.html}
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\item [\term{type}{Type, StringValue}]
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If the literal has an \verb$rdf:datatype=$\arg{Type} a term of this
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format is returned.
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\end{itemlist}
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\subsection{Name spaces}
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XML name spaces are identified using a URI. Unfortunately various URI's
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are in common use to refer to RDF. The \file{rdf_parser.pl} module
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therefore defines the namespace as a multifile/1 predicate, that can be
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extended by the user. For example, to parse the \url[Netscape
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OpenDirectory]{http://www.mozilla.org/rdf/doc/inference.html}
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\file{structure.rdf} file, the following declarations are used:
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\begin{code}
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:- multifile
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rdf_parser:rdf_name_space/1.
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rdf_parser:rdf_name_space('http://www.w3.org/TR/RDF/').
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rdf_parser:rdf_name_space('http://directory.mozilla.org/rdf').
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rdf_parser:rdf_name_space('http://dmoz.org/rdf').
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\end{code}
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The initial definition of this predicate is given below.
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\begin{code}
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rdf_name_space('http://www.w3.org/1999/02/22-rdf-syntax-ns#').
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rdf_name_space('http://www.w3.org/TR/REC-rdf-syntax').
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\end{code}
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\subsection{Low-level access}
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The above defined load_rdf/[2,3] is not always suitable. For example, it
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cannot deal with documents where the RDF statement is embedded in an XML
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document. It also cannot deal with really large documents (e.g.\ the
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Netscape OpenDirectory project, currently about 90 MBytes), without huge
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amounts of memory.
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For really large documents, the {\bf sgml2pl} parser can be programmed
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to handle the content of a specific element (i.e. \elem{rdf:RDF})
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element-by-element. The parsing primitives defined in this section
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can be used to process these one-by-one.
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\begin{description}
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\predicate{xml_to_rdf}{3}{+XML, +BaseURI, -Triples}
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Process an XML term produced by load_structure/3 using the
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\term{dialect}{xmlns} output option. \arg{XML} is either
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a complete \elem{rdf:RDF} element, a list of RDF-objects
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(container or description) or a single description of container.
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\predicate{process_rdf}{3}{+Input, :OnTriples, +Options}
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Exploits the call-back interface of {\bf sgml2pl}, calling
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\term{\arg{OnTriples}}{Triples, File:Line} with the list of triples
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resulting from a single top level RDF object for each RDF element in the
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input as well as the source-location where the description started.
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\arg{Input} is either a file name or term \term{stream}{Stream}. When
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using a stream all triples are associated to the value of the
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\const{base_uri} option. This predicate can be used to process arbitrary
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large RDF files as the file is processed object-by-object. The example
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below simply asserts all triples into the database:
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\begin{code}
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assert_list([], _).
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assert_list([H|T], Source) :-
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assert(H),
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assert_list(T, Source).
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?- process_rdf('structure,rdf', assert_list, []).
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\end{code}
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\arg{Options} are described with load_rdf/3. The option
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\const{expand_foreach} is not supported as the container may be in a
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different description. Additional it provides \const{embedded}:
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\begin{description}
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\termitem{embedded}{Boolean}
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The predicate process_rdf/3 processes arbitrary XML documents, only
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interpreting the content of \const{rdf:RDF} elements. If this option
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is \const{false} (default), it gives a warning on elements that are
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not processed. The option \term{embedded}{true} can be used to
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process RDF embedded in \jargon{xhtml} without warnings.
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\end{description}
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\end{description}
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\section{Writing RDF graphs}
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The library \pllib{rdf_write} provides the inverse of load_rdf/2 using
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the predicate rdf_write_xml/2. In most cases the RDF parser is used in
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combination with the Semweb package providing \pllib{semweb/rdf_db}.
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This library defines rdf_save/2 to save a named RDF graph from the
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database to a file. This library writes a list of rdf terms to a stream.
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It has been developed for the SeRQL server which computes an RDF graph
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that needs to be transmitted in an HTTP request. As we see this as a
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typical use-case scenario the library only provides writing to a stream.
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\begin{description}
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\predicate{rdf_write_xml}{2}{+Stream, +Triples}
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Write an RDF/XML document to \arg{Stream} from the list of \arg{Triples}.
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\arg{Stream} must use one of the following Prolog stream encodings:
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\const{ascii}, \const{iso_latin_1} or \const{utf8}. Characters that
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cannot be represented in the encoding are represented as XML entities.
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Using ASCII is a good idea for documents that can be represented almost
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completely in ASCII. For more international documents using UTF-8 creates
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a more compact document that is easier to read.
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\begin{code}
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rdf_write(File, Triples) :-
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open(File, write, Out, [encoding(utf8)]),
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call_cleanup(rdf_write_xml(Out, Triples),
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close(Out)).
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\end{code}
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\end{description}
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\section{Testing the RDF translator}
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A test-suite and driver program are provided by \file{rdf_test.pl} in
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the source directory. To run these tests, load this file into Prolog in
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the distribution directory. The test files are in the directory
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\file{suite} and the proper output in \file{suite/ok}. Predicates
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provided by \file{rdf_test.pl}:
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\begin{description}
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\predicate{suite}{1}{+N}
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Run test \arg{N} using the file \file{suite/tN.rdf} and display the
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RDF source, the intermediate Prolog representation and the resulting
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triples.
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\predicate{passed}{1}{+N}
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Process \file{suite/tN.rdf} and store the resulting triples in
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\file{suite/ok/tN.pl} for later validation by test/0.
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\predicate{test}{0}{}
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Run all tests and classify the result.
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\end{description}
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\appendix
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\section{Metrics}
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It took three days to write and one to document the Prolog RDF parser.
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A significant part of the time was spent understanding the RDF
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specification.
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The size of the source (including comments) is given in the table
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below.
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\begin{center}
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\begin{tabular}{|rrr|l|l|}
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\hline
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\bf lines & \bf words & \bf bytes & \bf file & \bf function \\
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\hline
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109 & 255 & 2663 & rdf.pl & Driver program \\
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312 & 649 & 6416 & rdf_parser.pl & 1-st phase parser \\
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246 & 752 & 5852 & rdf_triple.pl & 2-nd phase parser \\
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126 & 339 & 2596 & rewrite.pl & rule-compiler \\
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\hline
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793 & 1995 & 17527 & total & \\
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\hline
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\end{tabular}
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\end{center}
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We also compared the performance using an RDF-Schema file generated by
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\url[Protege-2000]{http://www.smi.stanford.edu/projects/protege/} and
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interpreted as RDF. This file contains 162 descriptions in 50 Kbytes,
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resulting in 599 triples. Environment: Intel Pentium-II/450 with
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384 Mbytes memory running SuSE Linux 6.3.
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The parser described here requires 0.15 seconds excluding 0.13 seconds
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Prolog startup time to process this file. The \url[Pro
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Solutions]{http://www.pro-solutions.com/rdfdemo/} parser (written in
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Perl) requires 1.5 seconds exluding 0.25 seconds startup time.
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\section{Installation}
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\subsection{Unix systems}
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Installation on Unix system uses the commonly found {\em configure},
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{\em make} and {\em make install} sequence. SWI-Prolog should be
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installed before building this package. If SWI-Prolog is not installed
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as \program{pl}, the environment variable \env{PL} must be set to the
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name of the SWI-Prolog executable. Installation is now accomplished
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using:
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\begin{code}
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% ./configure
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% make
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% make install
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\end{code}
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This installs the Prolog library files in \file{$PLBASE/library}, where
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\file{$PLBASE} refers to the SWI-Prolog `home-directory'.
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\subsection{Windows}
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Run the file \file{setup.pl} by double clicking it. This will install
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the required files into the SWI-Prolog directory and update the
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library directory.
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\end{document}
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