Table of Contents

SISU - SISU INFORMATION STRUCTURING UNIVERSE - SEARCH  [0.58], RALPH AMISSAH

SISU SEARCH

1. SISU SEARCH - INTRODUCTION

SiSU output can easily and conveniently be indexed by a number of standalone indexing tools, such as Lucene, Hyperestraier.

Because the document structure of sites created is clearly defined, and the text object citation system is available hypothetically at least, for all forms of output, it is possible to search the sql database, and either read results from that database, or just as simply map the results to the html output, which has richer text markup.

In addition to this SiSU has the ability to populate a relational sql type database with documents at an object level, with objects numbers that are shared across different output types, which make them searchable with that degree of granularity. Basically, your match criteria is met by these documents and at these locations within each document, which can be viewed within the database directly or in various output formats.

2. SQL

2.1 POPULATING SQL TYPE DATABASES

SiSU feeds sisu markupd documents into sql type databases PostgreSQL[^1] and/or SQLite[^2] database together with information related to document structure.

This is one of the more interesting output forms, as all the structural data of the documents are retained (though can be ignored by the user of the database should they so choose). All site texts/documents are (currently) streamed to four tables:

* one containing semantic (and other) headers, including, title, author,
subject, (the Dublin Core...);

* another the substantive texts by individual
along with structural information, each paragraph being identifiable by its
paragraph number (if it has one which almost all of them do), and the
substantive text of each paragraph quite naturally being searchable (both in
formatted and clean text versions for searching); and

* a third containing endnotes cross-referenced back to the paragraph from
which they are referenced (both in formatted and clean text versions for
searching).

* a fourth table with a one to one relation with the headers table contains
full text versions of output, eg. pdf, html, xml, and ascii.

There is of course the possibility to add further structures.

At this level SiSU loads a relational database with documents chunked into objects, their smallest logical structurally constituent parts, as text objects, with their object citation number and all other structural information needed to construct the document. Text is stored (at this text object level) with and without elementary markup tagging, the stripped version being so as to facilitate ease of searching.

Being able to search a relational database at an object level with the SiSU citation system is an effective way of locating content generated by SiSU object numbers, and all versions of the document have the same numbering, complex searches can be tailored to return just the locations of the search results relevant for all available output formats, with live links to the precise locations in the database or in html/xml documents; or, the structural information provided makes it possible to search the full contents of the database and have headings in which search content appears, or to search only headings etc. (as the Dublin Core is incorporated it is easy to make use of that as well).

3. POSTGRESQL

3.1 NAME

SiSU - Structured information, Serialized Units - a document publishing system, postgresql dependency package

3.2 DESCRIPTION

Information related to using postgresql with sisu (and related to the sisu_postgresql dependency package, which is a dummy package to install dependencies needed for SiSU to populate a postgresql database, this being part of SiSU - man sisu).

3.3 SYNOPSIS

sisu -D  [instruction]  [filename/wildcard  if  required]

sisu -D --pg --[instruction]  [filename/wildcard  if  required]

3.4 COMMANDS

Mappings to two databases are provided by default, postgresql and sqlite, the same commands are used within sisu to construct and populate databases however -d (lowercase) denotes sqlite and -D (uppercase) denotes postgresql, alternatively --sqlite or --pgsql may be used

-D or --pgsql may be used interchangeably.

3.4.1 CREATE AND DESTROY DATABASE

 --pgsql  --createall
 initial  step,  creates  required  relations  (tables,  indexes)  in  existing  (postgresql)  database  (a  database  should  be  created manually  and  given  the  same  name  as  working  directory,  as requested)  (rb.dbi) the  same  name  as  working  directory,  as

 sisu  -D  --createdb
 creates  database  where  no  database  existed  before  as

 sisu  -D  --create
 creates  database  tables  where  no  database  tables  existed before  database  tables  where  no  database  tables  existed

 sisu  -D  --Dropall
 destroys  database  (including  all  its  content)!  kills  data and  drops  tables,  indexes  and  database  associated  with  a given  directory  (and  directories  of  the  same  name).  a

 sisu  -D  --recreate
 destroys  existing

 database  and  builds  a  new  empty  database  structure

3.4.2 IMPORT AND REMOVE

DOCUMENTS

 sisu  -D  --import  -v   [filename/wildcard]
populates database with the contents of the file. Imports documents(s) specified to a postgresql database (at an object level).

 sisu  -D  --update  -v   [filename/wildcard]
updates

file contents in database

 sisu  -D  --remove  -v   [filename/wildcard]
removes specified document from postgresql database.

4. SQLITE

4.1 NAME

SiSU - Structured information, Serialized Units - a document publishing system.

4.2 DESCRIPTION

Information related to using sqlite with sisu (and related to the sisu_sqlite dependency package, which is a dummy package to install dependencies needed for SiSU to populate an sqlite database, this being part of SiSU - man sisu).

4.3 SYNOPSIS

sisu -d  [instruction]  [filename/wildcard  if  required]

sisu -d --(sqlite|pg) --[instruction]  [filename/wildcard  if
required]

4.4 COMMANDS

Mappings to two databases are provided by default, postgresql and sqlite, the same commands are used within sisu to construct and populate databases however -d (lowercase) denotes sqlite and -D (uppercase) denotes postgresql, alternatively --sqlite or --pgsql may be used

-d or --sqlite may be used interchangeably.

4.4.1 CREATE AND DESTROY DATABASE

 --sqlite  --createall
 initial  step,  creates  required  relations  (tables,  indexes)  in  existing  (sqlite)  database  (a  database  should  be  created  as requested)  (rb.dbi) the  same  name  as  working  directory,  as

 sisu  -d  --createdb
 creates  database  where  no  database  existed  before  as

 sisu  -d  --create
 creates  database  tables  where  no  database  tables  existed before  database  tables  where  no  database  tables  existed

 sisu  -d  --dropall
 destroys  database  (including  all  its  content)!  kills  data and  drops  tables,  indexes  and  database  associated  with  a given  directory  (and  directories  of  the  same  name).  a

 sisu  -d  --recreate
 destroys

 existing  database  and  builds  a  new  empty  database  structure

4.4.2 IMPORT

AND REMOVE DOCUMENTS

 sisu  -d  --import  -v   [filename/wildcard]
populates database with the contents of the file. Imports documents(s) specified to an sqlite database (at an object level).

 sisu  -d  --update  -v   [filename/wildcard]
updates

file contents in database

 sisu  -d  --remove  -v   [filename/wildcard]
removes specified document from sqlite database.

5. INTRODUCTION

5.1 SEARCH - DATABASE FRONTEND SAMPLE, UTILISING DATABASE AND SISU FEATURES, INCLUDING OBJECT CITATION NUMBERING (BACKEND CURRENTLY POSTGRESQL)

Sample search frontend <http://search.sisudoc.org >  [^3] A small database and sample query front-end (search from) that makes use of the citation system, object citation numbering to demonstrates functionality.[^4]

SiSU can provide information on which documents are matched and at what locations within each document the matches are found. These results are relevant across all outputs using object citation numbering, which includes html, XML, LaTeX, PDF and indeed the SQL database. You can then refer to one of the other outputs or in the SQL database expand the text within the matched objects (paragraphs) in the documents matched.

Note you may set results either for documents matched and object number locations within each matched document meeting the search criteria; or display the names of the documents matched along with the objects (paragraphs) that meet the search criteria.[^5]

 sisu  -F  --webserv-webrick
 builds  a  cgi  web

 search  frontend  for  the  database  created

The following is feedback on the setup on a machine provided by the help command:

sisu --help sql


  Postgresql
    user:             ralph
    current db set:   SiSU_sisu
    port:             5432
    dbi connect:      DBI:Pg:database=SiSU_sisu;port=5432
  sqlite
    current db set:   /home/ralph/sisu_www/sisu/sisu_sqlite.db
    dbi connect       DBI:SQLite:/home/ralph/sisu_www/sisu/sisu_sqlite.db

Note on databases built

By default,  [unless  otherwise  specified] databases are built on a directory basis, from collections of documents within that directory. The name of the directory you choose to work from is used as the database name, i.e. if you are working in a directory called /home/ralph/ebook the database SiSU_ebook is used.  [otherwise  a  manual  mapping  for  the  collection  is

5.2 SEARCH FORM

 sisu  -F
 generates  a  sample  search  form,  which  must  be  copied  to  which  must  be  copied  to

 sisu  -F  --webserv-webrick
 generates  a  sample  search  form  for  use  with  the  webrick  which  must  be  copied  to  the  web-server  cgi  directory  which  must  be  copied  to  the  web-server  cgi  directory

 sisu  -Fv
 as  above,  and  provides  some  information  on  setting  up

 sisu  -W
 starts

 the  webrick  server  which  should  be  available

The generated search form

must be copied manually to the webserver directory as instructed

6. HYPERESTRAIER

See the documentation for hyperestraier:

<http://hyperestraier.sourceforge.net/ >

/usr/share/doc/hyperestraier/index.html

man estcmd

on sisu_hyperestraier:

man sisu_hyperestraier

/usr/share/doc/sisu/sisu_markup/sisu_hyperestraier/index.html

NOTE: the examples that follow assume that sisu output is placed in

the directory /home/ralph/sisu_www

(A) to generate the index within the webserver directory to be indexed:

estcmd gather -sd  [index  name]  [directory  path  to  index]

the following are examples that will need to be tailored according to your needs:

cd /home/ralph/sisu_www

estcmd gather -sd casket /home/ralph/sisu_www

you may use the ’find’ command together with ’egrep’ to limit indexing to particular document collection directories within the web server directory:

find /home/ralph/sisu_www -type f | egrep
’/home/ralph/sisu_www/sisu/.+?.html$’ |estcmd gather -sd casket -

Check which directories in the webserver/output directory (~/sisu_www or elsewhere depending on configuration) you wish to include in the search index.

As sisu duplicates output in multiple file formats, it it is probably preferable to limit the estraier index to html output, and as it may also be desirable to exclude files ’plain.txt’, ’toc.html’ and ’concordance.html’, as these duplicate information held in other html output e.g.

find /home/ralph/sisu_www -type f | egrep
’/sisu_www/(sisu|bookmarks)/.+?.html$’ | egrep -v
’(doc|concordance).html$’ |estcmd gather -sd casket -

from your current document preparation/markup directory, you would construct a rune along the following lines:

find /home/ralph/sisu_www -type f | egrep ’/home/ralph/sisu_www/([specify Universe"
first  directory  for  inclusion]|[specify  second  directory  for Universe"
inclusion]|[another  directory  for  inclusion?  ...])/.+?.html$’ |
egrep -v ’(doc|concordance).html$’ |estcmd gather -sd
/home/ralph/sisu_www/casket -

(B) to set up the search form

(i) copy estseek.cgi to your cgi directory and set file permissions to 755:

sudo cp -vi /usr/lib/estraier/estseek.cgi /usr/lib/cgi-bin

sudo chmod -v 755 /usr/lib/cgi-bin/estseek.cgi

sudo cp -v /usr/share/hyperestraier/estseek.* /usr/lib/cgi-bin

 [see  estraier  documentation  for  paths]

(ii) edit estseek.conf, with attention to the lines starting ’indexname:’ and ’replace:’:

indexname: /home/ralph/sisu_www/casket

replace: ^file:///home/ralph/sisu_www{{!}}http://localhost

replace: /index.html?${{!}}/

(C) to test using webrick, start webrick:

sisu -W

and try open the url: <http://localhost:8081/cgi-bin/estseek.cgi >

DOCUMENT INFORMATION (METADATA)

METADATA

Document Manifest @ <http://www.jus.uio.no/sisu/sisu_manual/sisu_search/sisu_manifest.html >

Dublin Core (DC)

DC tags included with this document are provided here.

DC Title: SiSU - SiSU information Structuring Universe - Search  [0.58]

DC Creator: Ralph Amissah

DC Rights: Copyright (C) Ralph Amissah 2007, part of SiSU documentation, License GPL 3

DC Type: information

DC Date created: 2002-08-28

DC Date issued: 2002-08-28

DC Date available: 2002-08-28

DC Date modified: 2007-09-16

DC Date: 2007-09-16

Version Information

Sourcefile: sisu_search._sst

Filetype: SiSU text insert 0.58

Sourcefile Digest, MD5(sisu_search._sst)= 52c1d6d3c3082e6b236c65debc733a05

Skin_Digest: MD5(/home/ralph/grotto/theatre/dbld/sisu-dev/sisu/data/doc/sisu/sisu_markup_samples/sisu_manual/_sisu/skin/doc/skin_sisu_manual.rb)=

20fc43cf3eb6590bc3399a1aef65c5a9

Generated

Document (metaverse) last generated: Sun Sep 23 01:14:04 +0100 2007

Generated by: SiSU 0.58.3 of 2007w36/4 (2007-09-06)

Ruby version: ruby 1.8.6 (2007-06-07 patchlevel 36)  [i486-linux]

    .
  1. <http://www.postgresql.org/ > <http://advocacy.postgresql.org/ >
    <http://en.wikipedia.org/wiki/Postgresql >
  2. .
  3. <http://www.hwaci.com/sw/sqlite/ > <http://en.wikipedia.org/wiki/Sqlite >
  4. .
  5. <http://search.sisudoc.org >
  6. .
  7. (which could be extended further with current back-end). As regards scaling of the database, it is as scalable as the database (here Postgresql) and hardware allow.
  8. .
  9. of this feature when demonstrated to an IBM software innovations evaluator in 2004 he said to paraphrase: this could be of interest to us. We have large document management systems, you can search hundreds of thousands of documents and we can tell you which documents meet your search criteria, but there is no way we can tell you without opening each document where within each your matches are found.

    Other versions of this document:
    manifest: <http://www.jus.uio.no/sisu/sisu_search/sisu_manifest.html >
    html: <http://www.jus.uio.no/sisu/sisu_search/toc.html >
    pdf: <http://www.jus.uio.no/sisu/sisu_search/portrait.pdf >
    pdf: <http://www.jus.uio.no/sisu/sisu_search/landscape.pdf >
    at: <http://www.jus.uio.no/sisu >
    * Generated by: SiSU 0.58.3 of 2007w36/4 (2007-09-06)
    * Ruby version: ruby 1.8.6 (2007-06-07 patchlevel 36) [i486-linux]
    * Last Generated on: Sun Sep 23 01:14:07 +0100 2007
    * SiSU http://www.jus.uio.no/sisu