[Rdfapi-php-interest] Problems with Querying

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Hi,

I am using RAP(Statement-Centric MemModel API) for my conference
publications management project. For each publication we automatically
generate RDF file. All the files are kept on the server. I am building the
interface for reporting and querying.

I am using the find method. Here is my rdf file and the code for querying.

Problems:
1) I do not want the results in html table format. I want it as a list wher=
e
I get the file name.
2) I have to search a number of RDF files. Can you suggest me a way.

Sample publication rdf file:
<?xml version=3D"1.0" encoding=3D"UTF-8" ?>
<?xml-stylesheet type=3D"text/xsl" href=3D"../publication.xsl"?>
<rdf:RDF
   xml:base=3D"../index.rdf#"
   xmlns:rdf=3D"http://www.w3.org/1999/02/22-rdf-syntax-ns#"
   xmlns:rdfs=3D"http://www.w3.org/2000/01/rdf-schema#"
   xmlns:ns1=3D"http://purl.org/dc/elements/1.1/"
   xmlns:ns2=3D"http://purl.org/dc/terms/">

<rdf:Description rdf:about=3D"./p1.pdf">
    <ns1:title>Foreground Object Detection from Videos Containing Complex
Background </ns1:title>
      <ns1:type>subunit</ns1:type>
    <ns2:DCMIType>publication</ns2:DCMIType>
    <ns2:abstract>This paper proposes a novel method for detection and
segmentation of foreground objects from a video
    which contains both stationary and moving background objects and
undergoes both gradual and sudden changes. A Bayes     decision rule for
classification of background and foreground from selected feature vectors i=
s
formulated. Under this rule,
    different types of background objects will be classified from foregroun=
d
objects by choosing a proper feature vector.
    The stationary background object is described by the color feature, and
the moving background object is represented by
    the color co-occurrence feature. Foreground objects are extracted by
fusing the classification results from both
    stationary     and moving pixels. Learning strategies for the gradual
and sudden background changes are proposed to
    adapt to various changes in background through the video. The
convergence of the learning process is proved and a
    formula to select a proper learning rate is also derived. Experiments
have shown promising results in extracting
    foreground objects from many complex backgrounds including wavering tre=
e
branches, flickering screens and water
    surfaces, moving escalators, opening and closing doors, switching light=
s
and shadows of moving objects.</ns2:abstract>
    <ns1:subject>Video processing, background modeling, foreground
segmentation, video surveillance, Bayes model,
    color co-occurrence. </ns1:subject>
    <ns2:references>I. Haritaoglu, D. Harwood, and L. Davis. W4: Real-time
surveillance of people and their activities.
    </ns2:references>
    <ns1:contributor>L. Li, W. Huang, I. Y. H. Gu, Q. Tian</ns1:contributor=
>
    <ns1:format>pdf</ns1:format>
    <ns2:isPartOf>
http://www.ndsu.edu/ndsu/velupula/cms/conference1/index.rdf</ns2:isPartOf>
    <ns2:isFormatOf>Content Analysis</ns2:isFormatOf>
</rdf:Description>
</rdf:RDF>

Sample Code to Query:

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">

<html>
<head>
<title>Conference Management System</title>
</head>
<body>
<h1 align=3D"center">Conference Management System </h1>
<p>&nbsp;</p>
<p><strong>SEARCH RESULTS:</strong></p>
<?php
define("RDFAPI_INCLUDE_DIR", "rdfapi-php/api/");
include_once(RDFAPI_INCLUDE_DIR."RdfAPI.php");

// Filename of an RDF document
$base=3D"./conference1/p1.rdf";
// Create a new MemModel
$model =3D ModelFactory::getDefaultModel();
// Load and parse document
$model->load($base);

$homepage =3D new Literal("Content Analysis");
$res =3D $model->find(NULL, NULL, $homepage);
$res->writeAsHtmlTable();
 echo $res->toStringIncludingTriples();
echo "<P>";
?>

</body>
</html>

Please do reply me. Thanks in advance.

--
Sampath Velupula