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<title>
Apache UIMA Lucene CAS Indexer Documentation
</title>
<xi:include xmlns:xi="http://www.w3.org/2001/XInclude"
href="../../../SandboxDocs/src/docbook/book_info.xml" />
<preface>
<title>Introduction</title>
<para>
The Lucene CAS Indexer (Lucas) is a UIMA CAS consumer that
stores CAS
data in a Lucene index. Lucas allows to exploit the results
of
collection
processing for information retrieval purposes in a fast
and flexible way.
The consumer transforms annotation objects from
annotation indexes into
Lucene token objects and creates token streams
from them. Token
streams can
be further processed by token filters
before they are stored into a
certain
field of a index document.
The
mapping between UIMA annotations and Lucene tokens and token
filtering is configurable
by a xml file, whereas the index writer is
configured by a properties
file.
</para>
<para>
To use Lucas, at first a mapping file must be created. You have
to
decide
which annotation types should be present in the index and
how
your
index layout should look like, or more precisely, which
fields
should
be
contained in the index. Optionally you can add token
filters
for
further
processing. Its also possible to deploy your own
token
filters.
</para>
<para>
Lucas can run in multiple deployment scenarios where different
instances share
one index writer. This shared index writer instance is
configured via a properties file
and managed by the resource manager.
</para>
</preface>
<chapter id="sandbox.luceneCasConsumer.mapping">
<title>Mapping Configuration</title>
<para>
This chapter discusses the mapping between UIMA annotations and Lucene tokens in detail.
</para>
<section id="sandbox.luceneCasConsumer.mapping.tokenSources">
<title>Token Sources</title>
<para>
The mapping file describes the structure and contents of the
generated Lucene index. Each CAS
in a collection is mapped to a
Lucene document. A Lucene document
consists of fields, whereas a CAS
contains multiple annotation
indexes on different sofas. An
annotation object can mark a text,
can hold feature values or
reference
other feature structures. For instance,
an annotation
created by an entity mapper
marks a text area and may
additionally
contain a identifier for the mapped entity.
For this reason Lucas
knows
three different
sources of Lucene token values:
</para>
<itemizedlist>
<listitem>
<para>
The covered text of a annotation object.
</para>
</listitem>
<listitem>
<para>
One or more feature values of a annotation object.
</para>
</listitem>
<listitem>
<para>
One or more feature values of a feature structure directly
or
indirectly referenced
by an annotation object.
</para>
</listitem>
</itemizedlist>
<para>
If a feature has multiple values, that means it references a FSArray
instance, then one token is generated for each value. In the same
manner tokens are generated from each feature value, if more then
one
feature is provided. Alternatively, you can provide a
<emphasis>featureValueDelimiterString
</emphasis>
which is used to concatenate different feature values
from one
annotation object to generate only one token.
Each generated
Lucene
token has the same offset as the source annotation feature
structure.
</para>
<section id="sandbox.luceneCasConsumer.mapping.types.coveredText">
<title>Covered Text</title>
<para>
As mentioned before represents the covered text of annotation
objects one
possible source for Lucene token values. The following
example creates a
index with one
<emphasis>title</emphasis>
field which contains
covered texts from all
token annotations which
are stored in the
<emphasis>title</emphasis>
sofa.
<programlisting><![CDATA[<fields>
<field name=“title” index=“yes”>
<annotations>
<annotation sofa=“title” type=“de.julielab.types.Token”/>
</annotations>
<field>
</fields>]]></programlisting>
</para>
</section>
<section id="sandbox.luceneCasConsumer.mapping.types.feature">
<title>Feature Values</title>
<para>
The feature values of annotation objects are another source
for
token values. Consider the example below.
<programlisting><![CDATA[<fields>
<field name=“cells” index=“yes”>
<annotations>
<annotation sofa=“text” type=“de.julielab.types.Cell”>
<features>
<feature name=“specificType”>
</features>
</annotation>
</annotations>
<field>
</fields>]]></programlisting>
The field
<emphasis>cells</emphasis>
contains a token stream generated from the
annotation index of type
<emphasis>de.julielab.types.Cell</emphasis>
. Each generated
token will contain the value of the feature
<emphasis>specificType</emphasis>
of the
enclosing
annotation object.
</para>
<para>
The next example illustrates how multiple feature values can be
combined by using a
<emphasis>featureValueDelimiterString
</emphasis>
. If no
<emphasis>featureValueDelimiterString
</emphasis>
is provided,
a single token is generated from
each feature value.
<programlisting><![CDATA[<fields>
<field name=“authors” index=“no” stored="yes">
<annotations>
<annotation sofa=“text” type=“de.julielab.types.Author”
featureValueDelimiterString=", ">
<features>
<feature name=“forename”/>
<feature name=“surename”/>
</features>
</annotation>
</annotations>
<field>
</fields>]]></programlisting>
</para>
</section>
<section id="sandbox.luceneCasConsumer.mapping.types.featureStructures">
<title>Feature Values of referenced Feature Structures
</title>
<para>
Since annotation objects may reference other feature
structures, it
may be desirable to use these feature structures as
source for
Lucene token values.
To achieve this, we utilize feature
paths to
address these feature structures.
Consider the example
below.
</para>
<beginpage />
<para>
<programlisting><![CDATA[<fields>
<field name=“cities” index=“yes”>
<annotations>
<annotation sofa=“text” type=“de.julielab.types.Author”
featurePath="affiliation.address">
<features>
<feature name=“city”>
</features>
</annotation>
</annotations>
<field>
</fields>]]></programlisting>
</para>
<para>
The type
<emphasis>de.julielab.types.Author
</emphasis>
has a feature
<emphasis>affiliation</emphasis>
which points to a
<emphasis>affiliation</emphasis>
feature structure.
This
<emphasis>affiliation</emphasis>
feature structure in turn has a feature
<emphasis>address</emphasis>
which references a
<emphasis>address</emphasis>
feature structure. This
path of
references is expressed as
the feature
path
<emphasis>affiliation.address</emphasis>
.
A feature path consists of feature names
separated by a ".". Please
consider that the
<emphasis>city</emphasis>
feature is a feature of
the "address"
feature structure and not of
the
<emphasis>author</emphasis>
annotation object.
</para>
</section>
<section
id="sandbox.luceneCasConsumer.mapping.types.supportedFeatureTypes">
<title>Supported feature types
</title>
<para>
At the moment not all feature types are supported. Only this
feature types are
currently supported:
</para>
<itemizedlist>
<listitem>
<para>String</para>
</listitem>
<listitem>
<para>String Array</para>
</listitem>
<listitem>
<para>Number Types: Double, Float, Long, Integer, Short
</para>
</listitem>
</itemizedlist>
<para>
Consider that you need to provide a number format string if
you
want to use
number types.
</para>
</section>
</section>
<section id="sandbox.luceneCasConsumer.mapping.alignment">
<title>Token Stream Alignment</title>
<para>
In the examples above all defined Lucene fields contain only one
annotation based
token stream. There are a couple of reasons for the
fact that the simple mapping
of each annotation index to separate
Lucene fields is not a optimal
strategy.
One practical reason is that
the lucene highlighting will not work for
scenarios
where more than
one annotation type are involved.
Additionally, the tf-idf weighting
of terms does not work probably
if
annotations are separated from real
text.
Lucas is able to merge token streams and align them according
to their
token offsets.
The resulting merged token stream is then
stored in a
field.
The next example demonstrates this merging feature.
<programlisting><![CDATA[<fields>
<field name=“text” index=“yes” merge=“true”>
<annotations>
<annotation sofa=“text” type=“de.julielab.types.Token”/>
<annotation sofa=“text” type=“de.julielab.types.Cell”>
<features>
<feature name=“specificType”>
</features>
</annotation>
</annotations>
<field>
</fields>]]></programlisting>
Consider the merge attribute of the field tag. It causes the
alignment of the two
token streams generated from the
<emphasis>de.julielab.types.Token</emphasis>
and
<emphasis>de.julielab.types.Cell</emphasis>
annotations. If
this
attribute is set
to false or it is left, then the
annotation
token
streams were concatenated.
</para>
</section>
<section id="sandbox.luceneCasConsumer.mapping.tokenfilters">
<title>
Token Filters
</title>
<para>
Token filters are the Lucene approach to enable operations on
token streams. In typical Lucene applications token filters
are
combined with a tokenizer to build analyzers. In a typical Lucas
application the tokenization is already given by annotation indexes.
Lucas allows to apply token filters to certain annotation token
streams or
to the merged or concatenated field token stream as whole.
The following
example demonstrates how token filters are defined in
the mapping file.
</para>
<programlisting><![CDATA[<fields>
<field name=“text” index=“yes” merge=“true”>
<filters>
<filter name="lowercase"/>
</filters>
<annotations>
<annotation sofa=“text” type=“de.julielab.types.Token”>
<filters>
<filter name="stopwords"
filePath="resources/stopwords.txt"/>
</filters>
</annotation>
<annotation sofa=“text” type=“de.julielab.types.Cell”>
<features>
<feature name=“specificType”>
</features>
</annotation>
</annotations>
<field>
</fields>]]></programlisting>
<para>
The lowercase token filter is applied to the complete field
content and
the stopword
filter is only applied to the annotation
token stream which is
generated from the de.julielab.types.Token
annotation index. Both filters are
predefined filters which are
included in the Lucas distribution. A
reference of all
predefined
token filters is covered in <xref linkend="sandbox.luceneCasConsumer.mapping.reference"/>.
</para>
<section id="sandbox.luceneCasConsumer.mapping.tokenfilters.selfdefined">
<title>
Deploying your own Token Filters
</title>
<para>
For scenarios where the built in token filters where not
sufficient,
you can
provide your own token filters. Simple token
filters which don't need
any further parameterization, need to have
a public constructor, which
takes a
token stream as the only
parameter. The next example shows how a such a
token
filter is
referenced in the mapping file.
</para>
<programlisting><![CDATA[<fields>
<field name=“text” index=“yes”>
<annotations>
<annotation sofa=“text” type=“de.julielab.types.Cell”>
<filters>
<filter className="org.example.MyFilter"/>
</filters>
<features>
<feature name=“specificType”>
</features>
</annotation>
</annotations>
<field>
</fields>]]></programlisting>
<para>
The attribute
<emphasis>className</emphasis>
must reference the canonical class
name of
the the filter.
In cases
where the token filter has
parameters we need to provide a
factory
for it.
This factory must
implement the
<emphasis>org.apache.uima.indexer.analysis.TokenFilterFactory
</emphasis>
interface. This interface defines a method createTokenFilter which
takes a
token
stream and a java.util.Properties object as parameters.
The properties
object will
include all attribute names as keys and
their values which are
additionally defined
in the filter tag.
Consider the example below for a demonstration.
</para>
<programlisting><![CDATA[<fields>
<field name=“text” index=“yes”>
<annotations>
<annotation sofa=“text” type=“de.julielab.types.Cell”>
<filters>
<filter factoryClassName="org.example.MyTokenFilterFactory"
parameter1="value1" parameter2="value2"/>
</filters>
<features>
<feature name=“specificType”>
</features>
</annotation>
</annotations>
<field>
</fields>]]></programlisting>
<para>
In the example above the token filter factory is new
instantiated for
every
occurrence in the mapping file. In scenarios
where token filters use large
resources,
this will be a waste of
memory and time. To reuse a factory instance
we need to provide a
name and a reuse attribute.
The example below demonstrate how we can
reuse a factory
instance.
</para>
<programlisting><![CDATA[<fields>
<field name=“text” index=“yes”>
<annotations>
<annotation sofa=“text” type=“de.julielab.types.Cell”>
<filters>
<filter factoryClassName="org.example.MyTokenFilterFactory"
name="myFactory" reuse="true"
myResourceFilePath="pathToResource"/>
</filters>
<features>
<feature name=“specificType”>
</features>
</annotation>
</annotations>
<field>
</fields>]]></programlisting>
</section>
</section>
</chapter>
<chapter id="sandbox.luceneCasConsumer.mapping.reference">
<title>Mapping File Reference</title>
<para>
After introducing the basic concepts and functions this
chapter
offers a complete reference of the mapping
file elements.
</para>
<section id="sandbox.luceneCasConsumer.mapping.reference.structure">
<title>Mapping File Structure</title>
<para>
The raw mapping file structure is sketched below.
</para>
<programlisting><![CDATA[<fields>
<field ..>
<filters>
<filter ../>
...
</filters>
<annotations>
<annotation ..>
<filters>
<filter ../>
...
</filters>
<features>
<feature ..>
...
</features>
</annotation>
...
</annotations>
<field>
...
</fields>]]></programlisting>
</section>
<section id="sandbox.luceneCasConsumer.mapping.reference.elements">
<title>Mapping File Elements</title>
<para>
This section describes the mapping file
elements and their
attributes.
</para>
<para>
<itemizedlist>
<listitem>
<para>
<emphasis>fields element</emphasis>
<itemizedlist>
<listitem>
<para>
fields container element
</para>
</listitem>
<listitem>
<para>
contains:
<code>field+</code>
</para>
</listitem>
</itemizedlist>
</para>
</listitem>
<listitem>
<para>
<emphasis>field element</emphasis>
<itemizedlist>
<listitem>
<para>
describes a Lucene
<ulink
url="http://lucene.apache.org/java/2_4_0/api/org/apache/lucene/document/Field.html">field</ulink>
</para>
</listitem>
<listitem>
<para>
contains:
<code>filters?, annotations</code>
</para>
</listitem>
</itemizedlist>
</para>
<para>
<table>
<title>field element attributes</title>
<tgroup cols="5">
<thead>
<row>
<entry>name</entry>
<entry>allowed values</entry>
<entry>default value</entry>
<entry>mandatory</entry>
<entry>description</entry>
</row>
</thead>
<tbody>
<row>
<entry>name</entry>
<entry>string</entry>
<entry>-</entry>
<entry>yes</entry>
<entry>
the name of the
<ulink
url="http://lucene.apache.org/java/2_4_0/api/org/apache/lucene/document/Field.html">field</ulink>
</entry>
</row>
<row>
<entry>index</entry>
<entry>yes|no|no_norms|no_tf|no_norms_tf
</entry>
<entry>no</entry>
<entry>no</entry>
<entry>
See
<ulink
url="http://lucene.apache.org/java/2_4_0/api/org/apache/lucene/document/Field.Index.html">Field.Index</ulink>
</entry>
</row>
<row>
<entry>termVector</entry>
<entry>no|positions|offsets|positions_offsets
</entry>
<entry>no</entry>
<entry>no</entry>
<entry>
See
<ulink
url="http://lucene.apache.org/java/2_4_0/api/org/apache/lucene/document/Field.TermVector.html">Field.TermVector</ulink>
</entry>
</row>
<row>
<entry>stored</entry>
<entry>yes|no|compress</entry>
<entry>no</entry>
<entry>no</entry>
<entry>
See
<ulink
url="http://lucene.apache.org/java/2_4_0/api/org/apache/lucene/document/Field.Store">Field.Store</ulink>
</entry>
</row>
<row>
<entry>merge</entry>
<entry>boolean</entry>
<entry>false</entry>
<entry>no</entry>
<entry>If this attribute is set to true, all contained
annotation token streams are merged according to their
offset.
The tokens position increment are adopted in the
case
of
overlapping.</entry>
</row>
</tbody>
</tgroup>
</table>
</para>
</listitem>
<listitem>
<para>
<emphasis>filters element</emphasis>
<itemizedlist>
<listitem>
<para>
container element for filters
</para>
</listitem>
<listitem>
<para>
contains:
<code>filter+</code>
</para>
</listitem>
</itemizedlist>
</para>
</listitem>
<listitem>
<para>
<emphasis>filter element</emphasis>
<itemizedlist>
<listitem>
<para>
Describes a
<ulink
url="http://lucene.apache.org/java/2_4_1/api/org/apache/lucene/analysis/TokenFilter.html">token filter</ulink>
instance.
Token filters can either be predefined or
self-provided.
</para>
</listitem>
</itemizedlist>
</para>
<para>
<table>
<title>filter element attributes</title>
<tgroup cols="5">
<thead>
<row>
<entry>name</entry>
<entry>allowed values</entry>
<entry>default value</entry>
<entry>mandatory</entry>
<entry>description</entry>
</row>
</thead>
<tbody>
<row>
<entry>name</entry>
<entry>string</entry>
<entry>-</entry>
<entry>no</entry>
<entry>
the name to reference either a predefined filter (see
predefined filter reference)
or a reused filter
</entry>
</row>
<row>
<entry>className</entry>
<entry>string</entry>
<entry>-</entry>
<entry>no</entry>
<entry>
The canonical class name of a token filter. the token
filter class must provide a
single argument constructor which
takes the token stream as parameter.
</entry>
</row>
<row>
<entry>factoryClassName</entry>
<entry>string</entry>
<entry>-</entry>
<entry>no</entry>
<entry>
The canonical class name of a token filter factory.
the
token filter factory class must
implement the
org.apache.uima.indexer.analysis.TokenFilterFactory. See
<xref linkend="sandbox.luceneCasConsumer.mapping.tokenfilters"/> for
a example.
</entry>
</row>
<row>
<entry>reuse</entry>
<entry>boolean</entry>
<entry>-</entry>
<entry>false</entry>
<entry>
Enables token filter factory reuse. This makes sense
if a
token
filter use resources which should be cached.
Because token
filters
where referenced by their names, you
need also to provide
a name.
</entry>
</row>
<row>
<entry>*</entry>
<entry>string</entry>
<entry>-</entry>
<entry>-</entry>
<entry>
Filters may have their own parameter attributes which
are
explained
in the <xref linkend="sandbox.luceneCasConsumer.mapping.reference"/>..
</entry>
</row>
</tbody>
</tgroup>
</table>
</para>
</listitem>
<listitem>
<para>
<emphasis>annotations element</emphasis>
<itemizedlist>
<listitem>
<para>
container element for annotations
</para>
</listitem>
<listitem>
<para>
contains:
<code>annotation+</code>
</para>
</listitem>
</itemizedlist>
</para>
</listitem>
<listitem>
<para>
<emphasis>annotation element</emphasis>
<itemizedlist>
<listitem>
<para>
Describes a token stream which is generated from a CAS
annotation index.
</para>
</listitem>
<listitem>
<para>
contains:
<code>features?</code>
</para>
</listitem>
</itemizedlist>
</para>
<para>
<table>
<title>annotation element attributes</title>
<tgroup cols="5">
<thead>
<row>
<entry>name</entry>
<entry>allowed values</entry>
<entry>default value</entry>
<entry>mandatory</entry>
<entry>description</entry>
</row>
</thead>
<tbody>
<row>
<entry>type</entry>
<entry>string</entry>
<entry>-</entry>
<entry>yes</entry>
<entry>
The canonical type name. E.g. "uima.cas.Annotation"
</entry>
</row>
<row>
<entry>sofa</entry>
<entry>string</entry>
<entry>InitialView</entry>
<entry>yes</entry>
<entry>
Determines from which sofa the annotation index is
taken
</entry>
</row>
<row>
<entry>featurePath</entry>
<entry>string</entry>
<entry>-</entry>
<entry>no</entry>
<entry>
Allows to address feature structures which are
associated
with the annotation object. Features are separated
by
a ".".
</entry>
</row>
<row>
<entry>tokenizer</entry>
<entry>cas|white_space|standard
</entry>
<entry>cas</entry>
<entry>no</entry>
<entry>
Determines which tokenization is used. "cas" uses the
tokenization given
by the contained annotation token streams,
"standard" uses the
<ulink
url="http://lucene.apache.org/java/2_4_0/api/org/apache/lucene/analysis/standard/StandardTokenizer.html">standard tokenizer</ulink>
</entry>
</row>
<row>
<entry>featureValueDelimiterString
</entry>
<entry>string</entry>
<entry>-</entry>
<entry>no</entry>
<entry>
If this parameter is provided all feature values of
the
targeted
feature structure are concatenated and delimited
by this
string.
</entry>
</row>
</tbody>
</tgroup>
</table>
</para>
</listitem>
<listitem>
<para>
<emphasis>features element</emphasis>
<itemizedlist>
<listitem>
<para>
Container element for features.
</para>
</listitem>
<listitem>
<para>
contains:
<code>feature+</code>
</para>
</listitem>
</itemizedlist>
</para>
</listitem>
<listitem>
<para>
<emphasis>feature element</emphasis>
<itemizedlist>
<listitem>
<para>
Describes a certain feature of the addressed feature
structure. Values of this features serve as token
source.
</para>
</listitem>
</itemizedlist>
</para>
<para>
<table>
<title>feature element attributes</title>
<tgroup cols="5">
<thead>
<row>
<entry>name</entry>
<entry>allowed values</entry>
<entry>default value</entry>
<entry>mandatory</entry>
<entry>description</entry>
</row>
</thead>
<tbody>
<row>
<entry>name</entry>
<entry>string</entry>
<entry>-</entry>
<entry>yes</entry>
<entry>
The feature name.
</entry>
</row>
<row>
<entry>numberFormat</entry>
<entry>string</entry>
<entry>-</entry>
<entry>no</entry>
<entry>
Allows to convert number features to strings. See
<ulink
url="http://java.sun.com/javase/6/docs/api/java/text/DecimalFormat.html">DecimalNumberFormat</ulink>
.
</entry>
</row>
</tbody>
</tgroup>
</table>
</para>
</listitem>
</itemizedlist>
</para>
</section>
<section id="sandbox.luceneCasConsumer.mapping.reference.filters">
<title>
Filters Reference
</title>
<para>Lucas comes with a couple of predefined token filters.
This section provides a complete
reference for this filters.</para>
<section
id="sandbox.luceneCasConsumer.mapping.reference.filters.addition">
<title>
Addition Filter
</title>
<para>Adds suffixes or prefixes to tokens.</para>
<programlisting><![CDATA[<filter name="addition" prefix="PRE_"/>]]></programlisting>
<para>
<table>
<title>addition filter attributes</title>
<tgroup cols="5">
<thead>
<row>
<entry>name</entry>
<entry>allowed values</entry>
<entry>default value</entry>
<entry>mandatory</entry>
<entry>description</entry>
</row>
</thead>
<tbody>
<row>
<entry>prefix</entry>
<entry>string</entry>
<entry>-</entry>
<entry>no</entry>
<entry>
A pefix which is added to the front of each token.
</entry>
</row>
<row>
<entry>postfix</entry>
<entry>string</entry>
<entry>-</entry>
<entry>no</entry>
<entry>
A post which is added to the end of each token.
</entry>
</row>
</tbody>
</tgroup>
</table>
</para>
</section>
<section
id="sandbox.luceneCasConsumer.mapping.reference.filters.hypernyms">
<title>
Hypernyms Filter
</title>
<para>Adds hypernyms of a token with the same offset and
position increment 0.</para>
<programlisting><![CDATA[<filter name="hypernyms" filePath="/path/to/myFile.txt"/>]]></programlisting>
<para>
<table>
<title>hypernym filter attributes</title>
<tgroup cols="5">
<thead>
<row>
<entry>name</entry>
<entry>allowed values</entry>
<entry>default value</entry>
<entry>mandatory</entry>
<entry>description</entry>
</row>
</thead>
<tbody>
<row>
<entry>filePath</entry>
<entry>string</entry>
<entry>-</entry>
<entry>yes</entry>
<entry>
The hypernym file path. Each line of the file contains one
token
with its hypernyms.
The file must have the following format:
<code>TOKEN_TEXT=HYPERNYM1|HYPERNYM2|..
</code>
.
</entry>
</row>
</tbody>
</tgroup>
</table>
</para>
</section>
<section
id="sandbox.luceneCasConsumer.mapping.reference.filters.position">
<title>
Position Filter
</title>
<para>Allows to select only the first or the last token of a
token stream, all other tokens are discarded.</para>
<programlisting><![CDATA[<filter name="position" position="last"/>]]></programlisting>
<para>
<table>
<title>position filter attributes</title>
<tgroup cols="5">
<thead>
<row>
<entry>name</entry>
<entry>allowed values</entry>
<entry>default value</entry>
<entry>mandatory</entry>
<entry>description</entry>
</row>
</thead>
<tbody>
<row>
<entry>position</entry>
<entry>first|last</entry>
<entry>-</entry>
<entry>yes</entry>
<entry>
If position is set to first the only the the first token
of the underlying token stream is returned,
all other tokens are
discarded. Otherwise, if position is set to last, only the last
token is returned.
</entry>
</row>
</tbody>
</tgroup>
</table>
</para>
</section>
<section
id="sandbox.luceneCasConsumer.mapping.reference.filters.replace">
<title>
Replace Filter
</title>
<para>Allows to replace token texts.</para>
<programlisting><![CDATA[<filter name="replace" filePath="/path/to/myFile.txt"/>]]></programlisting>
<para>
<table>
<title>replace filter attributes</title>
<tgroup cols="5">
<thead>
<row>
<entry>name</entry>
<entry>allowed values</entry>
<entry>default value</entry>
<entry>mandatory</entry>
<entry>description</entry>
</row>
</thead>
<tbody>
<row>
<entry>filePath</entry>
<entry>string</entry>
<entry>-</entry>
<entry>yes</entry>
<entry>
The token text replacement file path. Each line consists of
the
original token text and
the replacement and must have the
following format:
<code>
TOKEN_TEXT=REPLACEMENT_TEXT
</code>
.
</entry>
</row>
</tbody>
</tgroup>
</table>
</para>
</section>
<section
id="sandbox.luceneCasConsumer.mapping.reference.filters.snowball">
<title>
Snowball Filter
</title>
<para>
Integration of the
<ulink
url="http://lucene.apache.org/java/2_4_0/api/org/apache/lucene/analysis/snowball/SnowballFilter.html">Lucene snowball filter</ulink>
</para>
<programlisting><![CDATA[<filter name="snowball" stemmerName="German"/>]]></programlisting>
<para>
<table>
<title>snowball filter attributes</title>
<tgroup cols="5">
<thead>
<row>
<entry>name</entry>
<entry>allowed values</entry>
<entry>default value</entry>
<entry>mandatory</entry>
<entry>description</entry>
</row>
</thead>
<tbody>
<row>
<entry>stemmerName</entry>
<entry>snowball stemmer names.</entry>
<entry>English</entry>
<entry>no</entry>
<entry>
See
<ulink
url="http://lucene.apache.org/java/2_4_0/api/org/apache/lucene/analysis/snowball/SnowballFilter.html">snowball filter documentation</ulink>
.
</entry>
</row>
</tbody>
</tgroup>
</table>
</para>
</section>
<section
id="sandbox.luceneCasConsumer.mapping.reference.filters.splitter">
<title>
Splitter Filter
</title>
<para>Splits tokens at a certain string.</para>
<programlisting><![CDATA[<filter name="splitter" splitString=","/>]]></programlisting>
<para>
<table>
<title>splitter filter attributes</title>
<tgroup cols="5">
<thead>
<row>
<entry>name</entry>
<entry>allowed values</entry>
<entry>default value</entry>
<entry>mandatory</entry>
<entry>description</entry>
</row>
</thead>
<tbody>
<row>
<entry>splitString</entry>
<entry>string</entry>
<entry>-</entry>
<entry>yes</entry>
<entry>
The string on which tokens are split.
</entry>
</row>
</tbody>
</tgroup>
</table>
</para>
</section>
<section id="sandbox.luceneCasConsumer.mapping.reference.filters.concat">
<title>
Concatenate Filter
</title>
<para>Concatenates token texts with a certain delimiter
string.</para>
<programlisting><![CDATA[<filter name="concatenate" concatString=";"/>]]></programlisting>
<para>
<table>
<title>concatenate filter attributes</title>
<tgroup cols="5">
<thead>
<row>
<entry>name</entry>
<entry>allowed values</entry>
<entry>default value</entry>
<entry>mandatory</entry>
<entry>description</entry>
</row>
</thead>
<tbody>
<row>
<entry>concatString</entry>
<entry>string</entry>
<entry>-</entry>
<entry>yes</entry>
<entry>
The string with which token texts are concatenated.
</entry>
</row>
</tbody>
</tgroup>
</table>
</para>
</section>
<section
id="sandbox.luceneCasConsumer.mapping.reference.filters.stopwords">
<title>
Stopword Filter
</title>
<para>
Integration of the
<ulink
url="http://lucene.apache.org/java/2_4_1/api/org/apache/lucene/analysis/StopFilter.html">Lucene stop filter</ulink>
</para>
<programlisting><![CDATA[<filter name="stopwords" filePath="/path/to/myStopwords.txt"/>]]></programlisting>
<para>
<table>
<title>stopword filter attributes</title>
<tgroup cols="5">
<thead>
<row>
<entry>name</entry>
<entry>allowed values</entry>
<entry>default value</entry>
<entry>mandatory</entry>
<entry>description</entry>
</row>
</thead>
<tbody>
<row>
<entry>filePath</entry>
<entry>string</entry>
<entry>-</entry>
<entry>no</entry>
<entry>
The stopword file path. Each line of the file contains a
single stopword.
</entry>
</row>
<row>
<entry>ignoreCase</entry>
<entry>boolean</entry>
<entry>false</entry>
<entry>no</entry>
<entry>
Defines if the stop filter ignores the case of stop words.
</entry>
</row>
</tbody>
</tgroup>
</table>
</para>
</section>
<section id="sandbox.luceneCasConsumer.mapping.reference.filters.unique">
<title>
Unique Filter
</title>
<para>Filters tokens with the same token text. The resulting
token stream contains only tokens with unique texts.</para>
<programlisting><![CDATA[<filter name="unique"/>]]></programlisting>
</section>
<section
id="sandbox.luceneCasConsumer.mapping.reference.filters.uppercase">
<title>
Upper Case Filter
</title>
<para>Turns the text of each token into upper case.</para>
<programlisting><![CDATA[<filter name="uppercase"/>]]></programlisting>
</section>
<section
id="sandbox.luceneCasConsumer.mapping.reference.filters.lowercase">
<title>
Lower Case Filter
</title>
<para>Turns the text of each token into lower case.</para>
<programlisting><![CDATA[<filter name="lowercase"/>]]></programlisting>
</section>
</section>
</chapter>
<chapter id="sandbox.luceneCasConsumer.indexwriter">
<title>Index Writer Configuration</title>
<para>
The index writer used by Lucas can be configured separately. To allow Lucas to run in
multiple deployment scenarios, different Lucas instances can share one index writer
instance. This is handled by the resource manager. To configure the resource manager and
the index writer properly, the Lucas descriptor contains a resource binding <code>
indexWriterProvider</code>. A IndexWriterProvider creates a index writer from a properties
file. The file path and name of this properties file must be set in the <code>LucasIndexWriterProvider</code> resource
section of the descriptor.
</para>
<para>
The properties file can contain the following properties.
<itemizedlist>
<listitem>
<para>
<code>indexPath</code> - the path to the index directory
</para>
</listitem>
<listitem>
<para>
<code>RAMBufferSize</code> - (number value), see <ulink url="http://lucene.apache.org/java/2_4_1/api/org/apache/lucene/index/IndexWriter.html#setRAMBufferSizeMB(double)">IndexWriter.ramBufferSize</ulink>
</para>
</listitem>
<listitem>
<para>
<code>useCompoundFileFormat</code> - (boolean value), see <ulink url="http://lucene.apache.org/java/2_4_1/api/org/apache/lucene/index/IndexWriter.html#setUseCompoundFile(boolean)">IndexWriter.useCompoundFormat</ulink>
</para>
</listitem>
<listitem>
<para>
<code>maxFieldLength</code> - (boolean value), see <ulink url="http://lucene.apache.org/java/2_4_1/api/org/apache/lucene/index/IndexWriter.html#setMaxFieldLength(int)">IndexWriter.maxFieldLength</ulink>
</para>
</listitem>
<listitem>
<para>
<code>uniqueIndex</code> - (boolean value), if set to <code>true</code>, host name and process identifier are added to the index name. (Only tested on linux systems)
</para>
</listitem>
</itemizedlist>
</para>
</chapter>
<chapter id="sandbox.luceneCasConsumer.descriptor">
<title>Descriptor Parameters
</title>
<para>
Because Lucas is configured by the mapping file, the descriptor has only one parameter:
<itemizedlist>
<listitem>
<para><code>mappingFile</code> - the file path to the mapping file.</para>
</listitem>
</itemizedlist>
</para>
</chapter>
</book>