（32位）本体学习程序（ontoEnrich）系统配置说明文档

1.系统环境

32位 Ubuntu

• 源代码中已经包含在32位下编译生成的.o文件，配置好依赖库(步骤2)后，参考步骤3则可重新link.

  link无误即可运行程序。

2.依赖库

 2.1 boost_1_44_0

　　2.1.1 ubuntu 64位
　　　　boost_1_44_0安装说明

　

  　2.1.2 ubuntu 32位

• 源码中已经包含boost_1_44_0在32位下编译后的文件，将(boost_1_44_0.tar)解压缩之后的文件放置在 /usr/local下即可。　
• 编译Boost.Regex：　

　　　　如果在{$BOOST_PATH}/libs/regex/build/目录中不存在名为gcc的文件夹，则执行下面操作：

　　　　　　在{$BOOST_PATH}/libs/regex/build/执行如下命令，生成动态链接库　　　　　　

make -f gcc-shared.mak
make -f gcc.mak
sudo ln -s libboost_regex-gcc-1_42.so /usr/local/lib
sudo ln -s libboost_regex-gcc-1_42.so /usr/lib

　　　 若存在gcc文件夹，且文件夹中只有*.o文件，而没有*.so文件。则执行下面操作

　　　　　　在{$BOOST_PATH}/libs/regex/build/gcc 执行如下命令，生成动态链接库

g++ *.o -fPIC -shared -o libboost_regex-gcc-1_42.so
sudo ln -s libboost_regex-gcc-1_42.so /usr/local/lib
sudo ln -s libboost_regex-gcc-1_42.so /usr/lib

配置libboost_regex-gcc-1_42.so的路径，执行如下命令

  cd ~
  gedit .bashrc
//在.bashrc文件中添加下面两行
export BOOST_PATH="/usr/local/boost_1_44_0"
export LD_LIBRARY_PATH=$BOOST_PATH/libs/regex/build/gcc
//保存退出
  source .bashrc

2.2安装mysql

安装mysql，包括mysql-server,mysql-client,libmysqlclient-dev：

sudo apt-get install mysql-server
sudo apt-get install mysql-client
sudo apt-get install libmysqlclient-dev

程序中所用的数据库名为wikipedia，用户名为'root'@'localhost'，密码为‘root’。如果用户名root的密码不为root时，注意修改密码。

创建数据库wikipedia：

> create database wikipedia;
> use wikipedia;

恢复数据：将wikipedia_mysql_backup（里面包含create table语句和insert语句）恢复到wikipedia数据库中：

> source wikipedia_mysql_backup;

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" alt="" />

2.3{程序路径}\ontoEnrich\ltp-service

修改ltp-service/__ltpService/LTPOption.h文件,对该文件进行如下修改：

//#define LINUX_OS  ->  #define LINUX_OS
#define WIN_OS      ->  //#define WIN_OS

在ltp_service文件内，依次执行如下3个命令:

./configure;
make;
sudo make install

make 需要g++支持，如果没有安装g++(用指令g++ -v 查看是否安装)，则通过sudo apt-get install g++安装.

程序运行所需的主要的libutil libxml4nlp libservice在 /usr/local/lib中。

3. make源文件3.1 将 {程序路径}\ontoEnrich\system\makefile，用如下的makefile覆盖：

#如果提示文件找不到,添加需要的 INCLUDE，LINK 路径
#修改时,请对比原makefile文件,并不要修改原文件(将原makefile文件备份)
INCLUDE = ./ -I ../segment -I ../conceptRecognise -I ../utility \
      -I ../regexMatch -I ../include -I ../suffixTree -I ../wikiProject \
      -I ../relationExtractor -I ../simWord -I ../clustering -I ../pattern \
      -I /usr/local/include -I /usr/local/boost_1_44_0
VPATH =:../segment:../conceptRecognise:../utility:../suffixTree \
    :../regexMatch:../wikiProject:../utility:../relationExtractor \
    :../simWord:../clustering:../pattern

BOOSTLIBS = -L /usr/local/boost_1_44_0/libs/regex/build/gcc -lboost_regex-gcc-1_42

object1=text.o corpus.o simpleConceptExtractor.o
object2=getRulePattern.o regexMatch.o
object3=wikiCategory.o zh2sim.o connectMysql.o regexMatch.o
object4=CWikiNetworkTrainer.o fire.o CWikiNetwork.o StrFun.o
object5=suffixTree.o charConverter.o
object6=relationPopulation.o mark.o kmeans.o patternUtility.o pattern.o synForest.o
object7=clustering.o wordVector.o distance.o tree.o
object8=getPattern.o editDistanceCal.o patternGenerator.o
object=$(object1) $(object2) $(object3) $(object4) $(object5) $(object6) $(object7) $(object8) \
       wikiInfoExtractor.o wikiInfoExtractor.o compoundConceptExtractor.o \
       addElement.o ontoLearner.o ontologyEnrichment.o sentParser.o
ontologyEnrichment:$(object)
    g++ -o ontologyEnrichment -g $^ -I$(INCLUDE) -lmysqlclient ${BOOSTLIBS} \
        -L ../segment -lsegment  -L /usr/local/lib -lutil -lxml4nlp -lservice
myUtility.o:myUtility.cpp
    g++ -g -c $^ -I$(INCLUDE) -L ../segment -lsegment

#simpleConceptLearner.o:$(object1)
#    g++ -g -o simpleConceptLearner.o $^ -L../segment -lsegment
simpleConceptExtractor.o:simpleConceptExtractor.cpp
    g++ -c -g $^ -I$(INCLUDE)
text.o:text.cpp
    g++ -c -g $^ -I$(INCLUDE) -L ../segment -lsegment
corpus.o:corpus.cpp
    g++ -c -g $^ -I$(INCLUDE) -L ../segment -lsegment

# getRuleFile.o:$(object2)
    # g++ -g -o getRuleFile.o $^ -I$(INCLUDE) -L../ -lsegment -lboost_regex-gcc-1_42
getRulePattern.o:getRulePattern.cpp
    g++ -g -c $^ -I$(INCLUDE)
regexMatch.o:regexMatch.cpp
    g++ -c -g $^ -I$(INCLUDE) ${BOOSTLIBS}

wikiInfoExtractor.o:wikiInfoExtractor.cpp
    g++ -g -c $^ -I$(INCLUDE) ${BOOSTLIBS} -L ../segment -lsegment

compoundConceptExtractor.o:compoundConceptExtractor.cpp
    g++ -g -c $^ -I$(INCLUDE) -L ../segment -lsegment

# cateRel.o:$(object3)
    # g++ -g -o cateRel.o $^  -I$(INCLUDE) -lboost_regex-gcc-1_42 -lmysqlclient -L ../segment -lsegment
wikiCategory.o:wikiCategory.cpp
    g++ -c -g $^ -I$(INCLUDE) ${BOOSTLIBS} -L ../segment -lsegment
zh2sim.o:zh2sim.cpp
    g++ -g -c $^ -I$(INCLUDE)
connectMysql.o:connectMysql.cpp
    g++ -g -c $^ -I$(INCLUDE) -lmysqlclient

addElement.o:addElement.cpp
    g++ -g -c $^ -I$(INCLUDE) -lmysqlclient
ontoLearner.o:ontoLearner.cpp
    g++ -g -c  $^
ontologyEnrichment.o:ontologyEnrichment.cpp
    g++ -g -c $^

CWikiNetworkTrainer.o: CWikiNetworkTrainer.cpp
    g++ -g CWikiNetworkTrainer.cpp -c -o CWikiNetworkTrainer.o -I$(INCLUDE)
fire.o :fire.cpp
    g++ -g $^  -c -o fire.o -I$(INCLUDE)
CWikiNetwork.o : CWikiNetwork.cpp
    g++ -g CWikiNetwork.cpp -c -o CWikiNetwork.o -I$(INCLUDE)
StrFun.o: StrFun.cpp
    g++ -g StrFun.cpp -c -I$(INCLUDE)

suffixTree.o:suffixTree.cpp
    g++ -c -g $^ -I$(INCLUDE) -L ../segment -lsegment
charConverter.o:charConverter.cpp
    g++ -c -g $^

relationPopulation.o:relationPopulation.cpp
    g++ -c $^ -I$(INCLUDE)
mark.o:mark.cpp
    g++ -c $^ -I$(INCLUDE)
kmeans.o:kmeans.cpp
    g++ -c $^ -I$(INCLUDE)
patternUtility.o:patternUtility.cpp
    g++ -c $^ -I$(INCLUDE)
pattern.o:pattern.cpp
    g++ -c $^ -I$(INCLUDE)
synForest.o:synForest.cpp
    g++ -g -c $^ -I$(INCLUDE) -L ../segment -lsegment

clustering.o:clustering.cpp
    g++ -c -g $^ -I$(INCLUDE)
wordVector.o:wordVector.cpp
    g++ -c -g $^ -I$(INCLUDE)
distance.o:distance.cpp
    g++ -c -g $^
tree.o:tree.cpp
    g++ -c -g $^

getPattern.o:getPattern.cpp
    g++ -g -c $^ -I$(INCLUDE) ${BOOSTLIBS}
patternGenerator.o:patternGenerator.cpp
    g++ -g -c $^ -I$(INCLUDE) ${BOOSTLIBS}
editDistanceCal.o:editDistanceCal.cpp
    g++ -g -c $^ -I$(INCLUDE)

sentParser.o:sentParser.cpp
    g++ -g -c $^ -I$(INCLUDE)  -L /usr/local/lib -lutil -lxml4nlp -lservice

clean:
    rm  $(object) ontologyEnrichment

3.2

cd {程序路径}/ontoEnrich/system;
make

如果提示 "xx"是最新的，请查阅相关资料自行处理。

3.3 运行程序：

cd {程序路径}/ontoEnrich/system;
./ontologyEnrichment

4.程序代码说明

主程序：ontoEnrich/system/ontologyEnrichment.cpp

[概念学习]　　1.简单概念学习程序：simpleConceptLearner():ontoEnrich/conceptRecognise/simpleConceptExtractor.cpp

　　2.符合概念学习程序：compoundConceptLearner():ontoEnrich/conceptRecognise/compoundConceptExtractor.cpp

[ 关系学习]

　　1、使用维基百科信息盒进行关系学习:infoboxExtractor():ontoEnrich/wikiProject/wikiInfoExtractor.cpp
       2、使用维基百科分类名进行关系学习:categoryExtractor():ontoEnrich/wikiProject/wikiCategory.cpp
       3、使用维基百科链接进行关系学习:linkExtractor():ontoEnrich/wikiProject/fire.cpp
       4、使用广义后缀树识别概念分类关系:suffixTreeLearner()
       5、使用层次聚类学习概念间分类关系:hierClusteringLearner()
       6、模板匹配法学习特定概念间关系(方法一):patternRelationExtractor()
       7、模板匹配法学习特定概念间关系（方法二）:patternLearner()