GEODI Query Rules
GEODI Queries are at the core of all solutions and are one of the keys to being a powerful DSPM (Data Security Posture Management) platform. Queries are how you express what you are monitoring or interested in.
Search → GEODI’s semantic queries help you easily find what you’re looking for even within complex, unclassified, and highly diverse documents.
Discovery → Being able to search allows you to identify risky data and take actions such as deletion or quarantine when necessary.
Classification → Automatic classification relies on queries. With rule-based or AI-powered recognizers and queries, you can automatically categorize documents.
Data Analysis → You’ll want to view discovery results in dashboards and reports. On dashboards, you can filter different perspectives and parts of the same data with queries.
Alarms →Queries enable you to narrow down addressing relevant information and get notified when an invoice is ready, when PII data is copied to a risky area, or when some files the manager is watching are available.
GEODI Query language is as simple as Google's. You may type the words and see the result. But there are more. Semantic queries help you address data more sharply when the words are insufficient.
GEODI queries by date, not just the document date but also dates in the content. These dates may have been written in many different formats but are all the same for GEODI. Dates are semantic entities for GEODI, and GEODI has many ways to query them.
Money is another example. The Discovery tool catches money phrases written in many different ways. So all phrases become one based on the value and the currency. It would be orherwise very diffcult to find them just with word search. Recognizng Money is very useful for auto classification, fine-tuning permission schemas, and more.
There are more semantic features that help you find any document faster and more accurately. This page and the sub-pages will explain all the rules in detail.
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- Basic Search
- Search by content name or type
- Search by Dates
- Search by Discovery
- Search Duplicate or Similar Content
- Search On Fields or DB Columns
- Search by word proximity
- Search by Version
- Search by Hierarchy and Source
- Search on Ownership or Permissions
- Search on e-mails and domains
- Search by Image
- Search by Content Language
- E-Signed Documents: Search and View
- Spatial Queries
- Save and Watch Queries
- Sort result and ranking
Sample Queries
We suggest you to try the following samples with your content. You will see how easy and effective to find content in’s no problem.
Jan-March 2017 doc:*.PDF Georgia |
If the document came via email, the rule remains the same. We specify the PDF just as we specify the email, as both are content types for GEODI. content:e-Mail Georgia |
We know that it was in a ZIP file. The document name was something “Geological..” and contains the the word wall. parent:*.ZIP doc:Geological* Wall |
You looked at hundreds of resumes during an HR process and made notes indicating your opinions. Now you want to find the resumes that received positive notes. |
Search for Georgia but not auarium. Georgia -Aqua* |
When you want to search a word and sinonims at the same time you may simply define a GEODI dictionary. The following queries may be identical using a single line dictionary: Artifical Intelligence AI Expert System |
Using just words in long documents may be misleading. Lets assume , a 10 page document first word in the first page, second word is in the last page. To prevent this situation you may use proximity rule that is (). Education() “High School” find High School within 10 words of education. Try removing () and see the result. Education “High School” 100..500GBP Words can be found close to currency expressions that fit the range. |