Namespace Lucene.Net.Search.VectorHighlight

This is an another highlighter implementation.

Features

• fast for large docs

• support N-gram fields

• support phrase-unit highlighting with slops

• support multi-term (includes wildcard, range, regexp, etc) queries

• need Java 1.5

• highlight fields need to be stored with Positions and Offsets

• take into account query boost and/or IDF-weight to score fragments

• support colored highlight tags

• pluggable FragListBuilder / FieldFragList

• pluggable FragmentsBuilder

Algorithm

To explain the algorithm, let's use the following sample text (to be highlighted) and user query:

Sample Text	Lucene is a search engine library.
User Query	Lucene^2 OR "search library"~1

The user query is a BooleanQuery that consists of TermQuery("Lucene") with boost of 2 and PhraseQuery("search library") with slop of 1.

For your convenience, here is the offsets and positions info of the sample text.

+--------+-----------------------------------+
|        |          1111111111222222222233333|
|  offset|01234567890123456789012345678901234|
+--------+-----------------------------------+
|document|Lucene is a search engine library. |
+--------*-----------------------------------+
|position|0      1  2 3      4      5        |
+--------*-----------------------------------+

Step 1.

In Step 1, Fast Vector Highlighter generates FieldQuery.QueryPhraseMap from the user query. QueryPhraseMap consists of the following members:

public class QueryPhraseMap {
  boolean terminal;
  int slop;   // valid if terminal == true and phraseHighlight == true
  float boost;  // valid if terminal == true
  Map<String, QueryPhraseMap> subMap;
} 

QueryPhraseMap has subMap. The key of the subMap is a term text in the user query and the value is a subsequent QueryPhraseMap. If the query is a term (not phrase), then the subsequent QueryPhraseMap is marked as terminal. If the query is a phrase, then the subsequent QueryPhraseMap is not a terminal and it has the next term text in the phrase.

From the sample user query, the following QueryPhraseMap will be generated:

   QueryPhraseMap
+--------+-+  +-------+-+
|"Lucene"|o+->|boost=2|*|  * : terminal
+--------+-+  +-------+-+

+--------+-+ +---------+-+ +-------+------+-+ |"search"|o+->|"library"|o+->|boost=1|slop=1|*| +--------+-+ +---------+-+ +-------+------+-+

Step 2.

In Step 2, Fast Vector Highlighter generates FieldTermStack. Fast Vector Highlighter uses term vector data (must be stored #setStoreTermVectorOffsets(boolean) and #setStoreTermVectorPositions(boolean)) to generate it. FieldTermStack keeps the terms in the user query. Therefore, in this sample case, Fast Vector Highlighter generates the following FieldTermStack:

   FieldTermStack
+------------------+
|"Lucene"(0,6,0)   |
+------------------+
|"search"(12,18,3) |
+------------------+
|"library"(26,33,5)|
+------------------+
where : "termText"(startOffset,endOffset,position)

Step 3.

In Step 3, Fast Vector Highlighter generates FieldPhraseList by reference to QueryPhraseMap and FieldTermStack.

   FieldPhraseList
+----------------+-----------------+---+
|"Lucene"        |[(0,6)]          |w=2|
+----------------+-----------------+---+
|"search library"|[(12,18),(26,33)]|w=1|
+----------------+-----------------+---+

The type of each entry is WeightedPhraseInfo that consists of an array of terms offsets and weight.

Step 4.

In Step 4, Fast Vector Highlighter creates FieldFragList by reference to FieldPhraseList. In this sample case, the following FieldFragList will be generated:

   FieldFragList
+---------------------------------+
|"Lucene"[(0,6)]                  |
|"search library"[(12,18),(26,33)]|
|totalBoost=3                     |
+---------------------------------+

The calculation for each FieldFragList.WeightedFragInfo.totalBoost (weight)
depends on the implementation of FieldFragList.add( ... ):

  public void add( int startOffset, int endOffset, List<WeightedPhraseInfo> phraseInfoList ) {
    float totalBoost = 0;
    List<SubInfo> subInfos = new ArrayList<SubInfo>();
    for( WeightedPhraseInfo phraseInfo : phraseInfoList ){
      subInfos.add( new SubInfo( phraseInfo.getText(), phraseInfo.getTermsOffsets(), phraseInfo.getSeqnum() ) );
      totalBoost += phraseInfo.getBoost();
    }
    getFragInfos().add( new WeightedFragInfo( startOffset, endOffset, subInfos, totalBoost ) );
  }

The used implementation of FieldFragList is noted in BaseFragListBuilder.createFieldFragList( ... ):

  public FieldFragList createFieldFragList( FieldPhraseList fieldPhraseList, int fragCharSize ){
    return createFieldFragList( fieldPhraseList, new SimpleFieldFragList( fragCharSize ), fragCharSize );
  }

Currently there are basically to approaches available:

• SimpleFragListBuilder using SimpleFieldFragList: sum-of-boosts-approach. The totalBoost is calculated by summarizing the query-boosts per term. Per default a term is boosted by 1.0

• WeightedFragListBuilder using WeightedFieldFragList: sum-of-distinct-weights-approach. The totalBoost is calculated by summarizing the IDF-weights of distinct terms.

Comparison of the two approaches:

query = das alte testament (The Old Testament)

Terms in fragment	sum-of-distinct-weights	sum-of-boosts
das alte testament	5.339621	3.0
das alte testament	5.339621	3.0
das testament alte	5.339621	3.0
das alte testament	5.339621	3.0
das testament	2.9455688	2.0
das alte	2.4759595	2.0
das das das das	1.5015357	4.0
das das das	1.3003681	3.0
das das	1.061746	2.0
alte	1.0	1.0
alte	1.0	1.0
das	0.7507678	1.0
das	0.7507678	1.0
das	0.7507678	1.0
das	0.7507678	1.0
das	0.7507678	1.0

Step 5.

In Step 5, by using FieldFragList and the field stored data, Fast Vector Highlighter creates highlighted snippets!

Classes

BaseFragListBuilder

A abstract implementation of IFragListBuilder.

BaseFragmentsBuilder

Base IFragmentsBuilder implementation that supports colored pre/post tags and multivalued fields.

Uses IBoundaryScanner to determine fragments.

FastVectorHighlighter

Another highlighter implementation.

FieldFragList

FieldFragList has a list of "frag info" that is used by IFragmentsBuilder class to create fragments (snippets).

FieldFragList.WeightedFragInfo

List of term offsets + weight for a frag info

FieldFragList.WeightedFragInfo.SubInfo

Represents the list of term offsets for some text

FieldPhraseList

FieldPhraseList has a list of WeightedPhraseInfo that is used by FragListBuilder to create a FieldFragList object.

FieldPhraseList.WeightedPhraseInfo

Represents the list of term offsets and boost for some text

FieldPhraseList.WeightedPhraseInfo.Toffs

Term offsets (start + end)

FieldQuery

FieldQuery breaks down query object into terms/phrases and keeps them in a FieldQuery.QueryPhraseMap structure.

FieldQuery.QueryPhraseMap

Internal structure of a query for highlighting: represents a nested query structure

FieldTermStack

FieldTermStack is a stack that keeps query terms in the specified field of the document to be highlighted.

FieldTermStack.TermInfo

Single term with its position/offsets in the document and IDF weight. It is but considers only position.

ScoreOrderFragmentsBuilder

An implementation of FragmentsBuilder that outputs score-order fragments.

ScoreOrderFragmentsBuilder.ScoreComparer

for FieldFragList.WeightedFragInfo by boost, breaking ties by offset.

SimpleBoundaryScanner

Simple boundary scanner implementation that divides fragments based on a set of separator characters.

SimpleFieldFragList

A simple implementation of FieldFragList.

SimpleFragListBuilder

A simple implementation of IFragListBuilder.

SimpleFragmentsBuilder

A simple implementation of FragmentsBuilder.

SingleFragListBuilder

An implementation class of IFragListBuilder that generates one FieldFragList.WeightedFragInfo object. Typical use case of this class is that you can get an entire field contents by using both of this class and SimpleFragmentsBuilder.

FastVectorHighlighter h = new FastVectorHighlighter( true, true,
    new SingleFragListBuilder(), new SimpleFragmentsBuilder() );

WeightedFieldFragList

A weighted implementation of FieldFragList.

WeightedFragListBuilder

A weighted implementation of IFragListBuilder.

Interfaces

IBoundaryScanner

Finds fragment boundaries: pluggable into BaseFragmentsBuilder

IFragListBuilder

IFragListBuilder is an interface for FieldFragList builder classes. A IFragListBuilder class can be plugged in to Highlighter.

IFragmentsBuilder

IFragmentsBuilder is an interface for fragments (snippets) builder classes. A IFragmentsBuilder class can be plugged in to FastVectorHighlighter.