Ego operantes in architectura review document hoc septimana et insinuat, inter alia, that the client consider using the thesaurus to help improve the end user search experience. Having never done this myself, I wanted to do a quick hands-on test so that my suggestion is authentic.

Erat mirabiliter difficile ad instar quam ad, quamvis est, in facto, quite easy. There’s a pretty good bit of information on the thesaurus (reprehendo hic et hic, enim). Autem, illis Docs sunt aut WSS 2.0 / SPS 2003 oriented or they don’t actually spell out what do to after you’ve made your changes in the thesaurus. They provide a great overview and fair bit of detail, sed suus non satis ad transire consummatione linea.

Gradibus operati me:

1. Make the changes to the thesaurus. (Infra pro momenti note)
2. Ad cultor et sileo in "Officium SharePoint Server Lorem" servitium.

A summitatem proni ad Mr. J. D. Wade (bio). He provided the key bit about restarting the search service and rescued me from endless, time consuming and unnecessary iisresets and full index crawls. This episode probat, iterum, quod Twitter is the awesome. (Sequi me in egestas hic. I follow any SharePoint person that follows me).

I don’t know if this functionality is available in WSS. If it is or is not, placere relinquat comment vel email me et ego update hoc post.

Maximus note: There’s conflicting information on which XML thesaurus file to change. There’s this notion of "tsneu.xml" ut in "neutra" Thesaurus. I wasted some time working with that one. In meam, Ego opus mutare "tsenu.xml" lima sita sub folder de App ID se: \\win2003srv c $ elit Files Microsoft Officium Servers 12,0 Data Officium Server Applications 3c4d509a-75c5-481c-8bfd-099a89554e17\Config. I assume that in a multi-farm situation, te hoc mutatio ubique query server currit.

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Ive 'perfectus usque hodie 2 ieiunium disciplina in apricis Needham, MA, Ego cum ideas et abruptis (Lorem genus omne bonum, quod ego faciam). One particular aspect of FAST has me thinking and I wanted to write it down while it was still fresh and normal day-to-day "stuff" impulimus ea de capite meo.

Nos SharePoint WSS 3.0 / MUSCUS implementers saepe faciem a lentus quaestio, nec rationabiliter amplitudo SharePoint project: Quam nos adepto totus notitia untagged SharePoint onustos in tale quod congruit omnes in nostra perfecte architecturae consilium notitia?

Saepe satis est, Hoc problema eo quod scopum non tam duram nobis de tribulatióne: "We don’t care about anything more than 3 months old." "We’ll handle all that old stuff with keyword search and going-forward we’ll do it the RIGHT way…" Etc.

Sed, what happens if we can’t scope ourselves out of trouble and we’re looking at 10’s of thousands or 100’s of thousands (aut etiam millions) ex fetu — loading et nostras tagging sit votivum?

GRAVITER esset responsio.

GRAVITER scriptor comprehendo quaero processus multum moveris partibus una sententia est hoc, simpliciores:

• A contentus spectat processum crawler.
• Invenit eam, et manus contentus ad sectorem processus efficit quod stagnum document processus.
• Sectorem processus manus contulerunt ad unum de tabulis processors.
• Document processus effingit tabellae a via processus pipeline, effingit bejeezus de tabellae off manus indicem ad processum typus aedificator.

In starship GRAVITER, we have a lot of control over the document processing pipeline. We can mix and match about 100 pipeline components, maxime Interestingly, we can write our own components. Like I say, FAST is analyzing documents every which way but Sunday and it compiles a lot of useful information about those documents. Those crazy FAST people are clearly insane and obsessive about document analysis because they have tools and/or strategies to REALLY categorize documents.

Ita … Nostro quidem more cum usura ieiunabo compositum pipeline component, we can grab all that context information from FAST and feed it back to MOSS. It might go something like this:

• Documentum alui est in ieiunium MUSCUS.
• Integer risus obsessive-GRAVITER document parsing et accidit categorization.
• Nostro quidem more pipeline stillæ aliqua illius pars context notitia differs a database.
• Processus notitia nostra consilium legit context, quasdam sententias, quemadmodum oporteret MUSCUS documentum nostra IA et notat usque telam militia usura obiectum exemplar.

Utique, automated processus nihil tale potest esse perfecta, sed gratias ad obsessive (et forte insanit-sed-in-a-Bonum-modo populum GRAVITER), habeamus realis pugna jaculari efficax onus Missae processus magis quam iustus repleret SQL database cum fasciculum vix investigabiles documenta-.

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I had reason today to play about with the codeplex faceted search project today.

It’s been around for a while, but I hesitated to download and use it for the usual reasons (mainly lack of time), plus outright fear 🙂

If you’re looking to improve your search and explore new options, download it and install it when you have an hour or so of free time. I followed the installation manual’s instructions and it took me less than 20 minutes to have it installed and working. It provides value minute zero.

It does look pretty hard to extend. The authors provide a detailed walk-through for a complex BDC scenario. I may be missing it, but I wish they would also provide a simpler scenario involving one of the pre-existing properties or maybe adding one new managed property. I shall try and write that up myself in the next period of time.

Imo linea — in minutes, you can install, configure it, use it and add some pretty cool functionality to your vanilla MOSS search and be a hero 🙂

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In foro MSDN quaerere, Sic frequenter interrogare:

"I have a document named ‘Programming Guide’ but when I search for ‘Pro’ quaero, non inveniet eam."

Ut non sentiant eam, but that amounts to a wildcard search. The MOSS/WSS user interface does not support wildcard search out of the box.

Si fodiat meaning in quaero partes, youll 'reperio a checkbox, "Enable search term stemming". Stemming is a human-language term. It’s not a computer language substring() Huiusmodi functio.

Haec sunt quosdam caulibus:

• "fish" is a stem to "fishing"
• "major" is a stem to "majoring"

Isti caules non:

• "maj" is not a stem to "major"
• "pro" is not a stem to "programmer"

The WSS/MOSS search engine does support wild card search through the API. Here is one blog article that describes how to do that: http://www.dotnetmafia.com/blogs/dotnettipoftheday/archive/2008/03/06/how-to-use-the-moss-enterprise-search-fulltextsqlquery-class.aspx

A productum parte 3rd, Ontolica, provides wild card search. I have not used that product.

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