Representation
Graphics Programming with GDI+
Tracking auto package? MeGUI.NET is a good example?
What kind of graph can represent the interesting network? with time, direct, frequency, ....?
It's my thing, my job, my hope. Enjoying our life!
Tracking auto package? MeGUI.NET is a good example?
What kind of graph can represent the interesting network? with time, direct, frequency, ....?
I try to implement a "Bibliography Management" but support advance function.
The data we should review as following
sample as
<record>
<header>
<identifier>oai:CiteSeerPSU:l</identifier>
<datestamp>1993-08-11</datestamp>
<setSpec>CiteSeerPSUset</setSpec>
</header>
<metadata>
<oai_citeseer:oai_citeseer
xmlns:oai_citeseer="http://copper.ist.psu.edu/oai/oai_citeseer/"
xmlns:dc ="http://purl.org/dc/elements/l.l/.
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://copper.ist.psu.edu/oai/oai_citeseer/
http://copper.ist.psu.edu/oai/oai_citeseer.xsd
<dc:title>36 Problems for Semantic InterpretatiOn</dc7title>
<oai_citeseer:author name="Gabriele Scheler">
<address>80290 Munchen I Germany</address>
<affiliation>Institut fur Informatik;
Technische Universitat Munchen</affiliation>
</oai_citeseer:author>
<dc:subject>Gabriele Scheler 36 Problems
for Semantic Interpretation</dc:subject>
<dc:description>This paper presents...</dc:description>
<dc:contributor>The Pennsylvania State University CiteSeer
Archives</dc:contributor>
<dc:publisher>unknown</dc:publisher>
<dc:date>1993-08-11</dc:date>
<dc:format>ps</dc:format>
<dc:identifier>http://citeseer.ist.psu.edu/l.html</dc:identifier>
<dc:source>ftp://flop.informatik.tu-muenchen.de/
pub/fki/fki-179-93.ps.gz</dc:source>
<dc:language>en</dc:language> /
<dc:rights>unrestricted</dc:rights>
</oai_citeseer:oai_citeseer>
</metadata>
</record>
Related project
Bishare
http://www.dlib.org/dlib/november04/canos/11canos.html
gdsCiteseer
Citeseer
As defined in Wikipedia, Rule Engine can seperate into
"
•There are mainly two different types of rule engines. The first one is rule engines with so-called production/ inference rules. These types of rules are used to answer complex questions and infer answers. For example, such a rule could answer the question: "Should this customer be allowed a mortgage?".
•The other type of rule engines are those implementing reaction rules. The reactive rule engines are used to detect and react to interesting patterns of events occurring. For example a reactive rule engine could be used to alert a manager when certain items are out of stock.
"