我听说过Lucene.Net,也听说过阿帕奇蒂卡。问题是-如何使用C#和Java对这些文档进行索引?我认为问题在于,没有.Net等效的Tika从这些文档类型中提取相关文本。
更新-2011年2月5日
根据给定的响应,目前似乎不是本机 .Net等效于Tika。提到了两个有趣的项目,每个项目本身都很有趣:
鉴于上述两个项目,我看到了几个选择。要提取文本,我可以使用Omega使用的相同组件,也可以使用IKVM运行Tika。在我看来,选项b)看起来更干净,因为只有两个依赖项。
有趣的是,现在有几个搜索引擎可能可以从.Net中使用。有Xapian,Lucene.Net,甚至Lucene (使用IKVM)。
更新-2011年2月7日
另一个答案是建议我检查一下如果。事实证明,这正是微软在windows搜索中所使用的,因此Office ifilters是现成的。另外,还有一些PDF格式的文件。缺点是它们是在非托管代码中实现的,所以使用COM互操作是必要的。我在DotLucene.NET存档(不再是活动项目)上找到了下面的代码片段:
using System;
using System.Diagnostics;
using System.Runtime.InteropServices;
using System.Text;
namespace IFilter
{
[Flags]
public enum IFILTER_INIT : uint
{
NONE = 0,
CANON_PARAGRAPHS = 1,
HARD_LINE_BREAKS = 2,
CANON_HYPHENS = 4,
CANON_SPACES = 8,
APPLY_INDEX_ATTRIBUTES = 16,
APPLY_CRAWL_ATTRIBUTES = 256,
APPLY_OTHER_ATTRIBUTES = 32,
INDEXING_ONLY = 64,
SEARCH_LINKS = 128,
FILTER_OWNED_VALUE_OK = 512
}
public enum CHUNK_BREAKTYPE
{
CHUNK_NO_BREAK = 0,
CHUNK_EOW = 1,
CHUNK_EOS = 2,
CHUNK_EOP = 3,
CHUNK_EOC = 4
}
[Flags]
public enum CHUNKSTATE
{
CHUNK_TEXT = 0x1,
CHUNK_VALUE = 0x2,
CHUNK_FILTER_OWNED_VALUE = 0x4
}
[StructLayout(LayoutKind.Sequential)]
public struct PROPSPEC
{
public uint ulKind;
public uint propid;
public IntPtr lpwstr;
}
[StructLayout(LayoutKind.Sequential)]
public struct FULLPROPSPEC
{
public Guid guidPropSet;
public PROPSPEC psProperty;
}
[StructLayout(LayoutKind.Sequential)]
public struct STAT_CHUNK
{
public uint idChunk;
[MarshalAs(UnmanagedType.U4)] public CHUNK_BREAKTYPE breakType;
[MarshalAs(UnmanagedType.U4)] public CHUNKSTATE flags;
public uint locale;
[MarshalAs(UnmanagedType.Struct)] public FULLPROPSPEC attribute;
public uint idChunkSource;
public uint cwcStartSource;
public uint cwcLenSource;
}
[StructLayout(LayoutKind.Sequential)]
public struct FILTERREGION
{
public uint idChunk;
public uint cwcStart;
public uint cwcExtent;
}
[ComImport]
[Guid("89BCB740-6119-101A-BCB7-00DD010655AF")]
[InterfaceType(ComInterfaceType.InterfaceIsIUnknown)]
public interface IFilter
{
[PreserveSig]
int Init([MarshalAs(UnmanagedType.U4)] IFILTER_INIT grfFlags, uint cAttributes, [MarshalAs(UnmanagedType.LPArray, SizeParamIndex=1)] FULLPROPSPEC[] aAttributes, ref uint pdwFlags);
[PreserveSig]
int GetChunk(out STAT_CHUNK pStat);
[PreserveSig]
int GetText(ref uint pcwcBuffer, [MarshalAs(UnmanagedType.LPWStr)] StringBuilder buffer);
void GetValue(ref UIntPtr ppPropValue);
void BindRegion([MarshalAs(UnmanagedType.Struct)] FILTERREGION origPos, ref Guid riid, ref UIntPtr ppunk);
}
[ComImport]
[Guid("f07f3920-7b8c-11cf-9be8-00aa004b9986")]
public class CFilter
{
}
public class IFilterConstants
{
public const uint PID_STG_DIRECTORY = 0x00000002;
public const uint PID_STG_CLASSID = 0x00000003;
public const uint PID_STG_STORAGETYPE = 0x00000004;
public const uint PID_STG_VOLUME_ID = 0x00000005;
public const uint PID_STG_PARENT_WORKID = 0x00000006;
public const uint PID_STG_SECONDARYSTORE = 0x00000007;
public const uint PID_STG_FILEINDEX = 0x00000008;
public const uint PID_STG_LASTCHANGEUSN = 0x00000009;
public const uint PID_STG_NAME = 0x0000000a;
public const uint PID_STG_PATH = 0x0000000b;
public const uint PID_STG_SIZE = 0x0000000c;
public const uint PID_STG_ATTRIBUTES = 0x0000000d;
public const uint PID_STG_WRITETIME = 0x0000000e;
public const uint PID_STG_CREATETIME = 0x0000000f;
public const uint PID_STG_ACCESSTIME = 0x00000010;
public const uint PID_STG_CHANGETIME = 0x00000011;
public const uint PID_STG_CONTENTS = 0x00000013;
public const uint PID_STG_SHORTNAME = 0x00000014;
public const int FILTER_E_END_OF_CHUNKS = (unchecked((int) 0x80041700));
public const int FILTER_E_NO_MORE_TEXT = (unchecked((int) 0x80041701));
public const int FILTER_E_NO_MORE_VALUES = (unchecked((int) 0x80041702));
public const int FILTER_E_NO_TEXT = (unchecked((int) 0x80041705));
public const int FILTER_E_NO_VALUES = (unchecked((int) 0x80041706));
public const int FILTER_S_LAST_TEXT = (unchecked((int) 0x00041709));
}
///
/// IFilter return codes
///
public enum IFilterReturnCodes : uint
{
///
/// Success
///
S_OK = 0,
///
/// The function was denied access to the filter file.
///
E_ACCESSDENIED = 0x80070005,
///
/// The function encountered an invalid handle, probably due to a low-memory situation.
///
E_HANDLE = 0x80070006,
///
/// The function received an invalid parameter.
///
E_INVALIDARG = 0x80070057,
///
/// Out of memory
///
E_OUTOFMEMORY = 0x8007000E,
///
/// Not implemented
///
E_NOTIMPL = 0x80004001,
///
/// Unknown error
///
E_FAIL = 0x80000008,
///
/// File not filtered due to password protection
///
FILTER_E_PASSWORD = 0x8004170B,
///
/// The document format is not recognised by the filter
///
FILTER_E_UNKNOWNFORMAT = 0x8004170C,
///
/// No text in current chunk
///
FILTER_E_NO_TEXT = 0x80041705,
///
/// No more chunks of text available in object
///
FILTER_E_END_OF_CHUNKS = 0x80041700,
///
/// No more text available in chunk
///
FILTER_E_NO_MORE_TEXT = 0x80041701,
///
/// No more property values available in chunk
///
FILTER_E_NO_MORE_VALUES = 0x80041702,
///
/// Unable to access object
///
FILTER_E_ACCESS = 0x80041703,
///
/// Moniker doesn't cover entire region
///
FILTER_W_MONIKER_CLIPPED = 0x00041704,
///
/// Unable to bind IFilter for embedded object
///
FILTER_E_EMBEDDING_UNAVAILABLE = 0x80041707,
///
/// Unable to bind IFilter for linked object
///
FILTER_E_LINK_UNAVAILABLE = 0x80041708,
///
/// This is the last text in the current chunk
///
FILTER_S_LAST_TEXT = 0x00041709,
///
/// This is the last value in the current chunk
///
FILTER_S_LAST_VALUES = 0x0004170A
}
///
/// Convenience class which provides static methods to extract text from files using installed IFilters
///
public class DefaultParser
{
public DefaultParser()
{
}
[DllImport("query.dll", CharSet = CharSet.Unicode)]
private extern static int LoadIFilter(string pwcsPath, [MarshalAs(UnmanagedType.IUnknown)] object pUnkOuter, ref IFilter ppIUnk);
private static IFilter loadIFilter(string filename)
{
object outer = null;
IFilter filter = null;
// Try to load the corresponding IFilter
int resultLoad = LoadIFilter(filename, outer, ref filter);
if (resultLoad != (int) IFilterReturnCodes.S_OK)
{
return null;
}
return filter;
}
public static bool IsParseable(string filename)
{
return loadIFilter(filename) != null;
}
public static string Extract(string path)
{
StringBuilder sb = new StringBuilder();
IFilter filter = null;
try
{
filter = loadIFilter(path);
if (filter == null)
return String.Empty;
uint i = 0;
STAT_CHUNK ps = new STAT_CHUNK();
IFILTER_INIT iflags =
IFILTER_INIT.CANON_HYPHENS |
IFILTER_INIT.CANON_PARAGRAPHS |
IFILTER_INIT.CANON_SPACES |
IFILTER_INIT.APPLY_CRAWL_ATTRIBUTES |
IFILTER_INIT.APPLY_INDEX_ATTRIBUTES |
IFILTER_INIT.APPLY_OTHER_ATTRIBUTES |
IFILTER_INIT.HARD_LINE_BREAKS |
IFILTER_INIT.SEARCH_LINKS |
IFILTER_INIT.FILTER_OWNED_VALUE_OK;
if (filter.Init(iflags, 0, null, ref i) != (int) IFilterReturnCodes.S_OK)
throw new Exception("Problem initializing an IFilter for:\n" + path + " \n\n");
while (filter.GetChunk(out ps) == (int) (IFilterReturnCodes.S_OK))
{
if (ps.flags == CHUNKSTATE.CHUNK_TEXT)
{
IFilterReturnCodes scode = 0;
while (scode == IFilterReturnCodes.S_OK || scode == IFilterReturnCodes.FILTER_S_LAST_TEXT)
{
uint pcwcBuffer = 65536;
System.Text.StringBuilder sbBuffer = new System.Text.StringBuilder((int)pcwcBuffer);
scode = (IFilterReturnCodes) filter.GetText(ref pcwcBuffer, sbBuffer);
if (pcwcBuffer > 0 && sbBuffer.Length > 0)
{
if (sbBuffer.Length < pcwcBuffer) // Should never happen, but it happens !
pcwcBuffer = (uint)sbBuffer.Length;
sb.Append(sbBuffer.ToString(0, (int) pcwcBuffer));
sb.Append(" "); // "\r\n"
}
}
}
}
}
finally
{
if (filter != null) {
Marshal.ReleaseComObject (filter);
System.GC.Collect();
System.GC.WaitForPendingFinalizers();
}
}
return sb.ToString();
}
}
}目前,这似乎是使用Windows上的.NET平台从文档中提取文本的最佳方法。谢谢大家的帮助。
更新-2011年3月8日
虽然我仍然认为如果ifilters是一个很好的方法,我认为如果您希望使用来自.NET的Lucene索引文档,那么一个非常好的选择就是使用索尔。当我第一次开始研究这个话题时,我从未听说过Solr。因此,对于那些也没有的人来说,Solr是一个独立的搜索服务,是用Java在Lucene之上编写的。其思想是,您可以在防火墙机器上启动Solr,并通过.NET应用程序通过HTTP与其通信。Solr是真正像服务一样编写的,它可以完成Lucene所能做的一切(包括使用来自.PDF、.XLS、.DOC、.PPT等的Tika提取文本),还有一些。Solr似乎也有一个非常活跃的社区,对于Lucene.NET,这一点我不太确定。
发布于 2011-02-05 19:19:53
如果您搜索asp.net ifilters,您还可以查看一些资源:
当然,如果您要将其分发给客户端系统,则会有额外的麻烦,因为您要么需要将ifilters包含在您的分发版中,然后将那些带有应用程序的应用程序安装到它们的计算机上,要么它们将无法从它们没有应用程序的任何文件中提取文本。
发布于 2011-02-05 06:57:41
这是我对Lucene的一个项目不满意的原因之一。夏皮安是一个相互竞争的产品,在某些情况下比Lucene快一个数量级,并且还具有其他引人注目的特性(嗯,它们当时对我很有吸引力)。大问题?它是用C++编写的,您必须与它互操作。这是索引和检索。对于文本的实际解析,这是Lucene真正倒下的地方--你必须自己去做。Xapian有一个omega组件,管理调用其他第三方组件来提取数据。在我有限的测试中,它运行得非常好。我没有完成这个项目(比POC更多),但是我做了写下来,我的经验编译了64位。当然,这几乎是一年前的事了,所以事情可能已经改变了。
如果深入研究欧米茄文件,您可以看到它们用于解析文档的工具。
如果pdftotext可用(随xpdf一起提供) PostScript (.ps,.eps,.ai)如果ps2pdf (来自鬼怪脚本)和pdftotext (随xpdf一起提供)是可用的 OpenOffice/StarOffice文档(.sxc、.stc、.sxd、.std、.sxi、.sti、.sxm、.sxw、.sxg、.stw) OpenDocument格式文档(.odt、.ods、.odp、.odg、.odc、.odf、.odb、.odi、.odm、.ott、.ots、.otp、.otg、.otc、.otf、.oti、.otf) MS Word文档(.doc,.dot) (如果可用的话) MS文档(.xls、.xlb、.xlt) (如果xls2csv可用)(随catdoc一起提供) 文档(.ppt,.pps),如果catppt可用,(随catdoc一起提供) MS 2007文档(.docx、.dotx、.xlsx、.xlst、.pptx、.potx、.ppsx) 如果有可用的Wordperfect文档(.wpd) (附带libwpd) 如果有可用的MS Works文档(.wps,.wpt) (随libwps一起提供) 如果gzip可用,则压缩AbiWord文档(.zabw) 如果unrtf可用,则为富文本格式文档(.rtf) Perl文档(.pl、.pm、.pod) (如果有pod2text ) 如果catdvi可用,则TeX DVI文件(.dvi) 如果djvutxt可用,DjVu文件(.djv,.djvu) 如果解压缩可用,XPS文件(.xps)
发布于 2011-02-05 05:59:25
显然,您可以使用.net (链接)中的Tika
我自己也没试过。
https://stackoverflow.com/questions/4905271
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