Search Engine Metadata Tagging via Conditional Scripting
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Solution Overview
Problem
Existing search engines like Elasticsearch require documents to be pre-tagged with metadata or reindexed after storage, which limits their ability to return relevant results and can lead to redundant or duplicative metadata tagging.
Innovation Solution
A script is generated in Painless scripting language to tag documents with metadata within the search engine, specifying that metadata should only be added if it is not already present, and the document should be reindexed only if metadata is added, thereby avoiding redundancy and unnecessary reindexing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If documents are pre-tagged with metadata before storage, then search relevance is improved, but the complexity of the document ingestion process increases and time is lost during preprocessing
Solution Approach 1:
The patent applies preliminary action by generating and executing a tagging script during the document ingestion process itself, rather than requiring separate pre-tagging or post-storage reindexing. The script is prepared in advance and automatically executed when documents are stored, adding metadata tags conditionally only when needed.
Solution Approach 2:
The system performs self-service by automatically executing the tagging script during document storage operations. The search engine itself carries out the metadata tagging without requiring external preprocessing tools or manual intervention, eliminating the need for separate pre-tagging steps while maintaining search relevance.
2Reliability
If documents are reindexed after storage to add metadata, then search relevance is improved, but productivity decreases due to unnecessary reindexing operations
Solution Approach 1:
The patent uses preliminary action by preparing the tagging script in advance with conditional logic that checks whether metadata already exists before adding tags. This prevents redundant reindexing operations while ensuring that necessary metadata is added during the initial storage process.
Solution Approach 2:
The system applies partial action by executing reindexing operations only when and where needed - specifically, only when metadata is actually added to a document. The conditional logic in the tagging script ensures that documents already containing the metadata are not reindexed, avoiding excessive or unnecessary processing.
3Reliability
If metadata is added without checking for existing tags, then tagging completeness is improved, but redundancy increases leading to wasted storage and processing
Solution Approach 1:
The patent implements feedback by incorporating conditional checks in the tagging script that examine whether metadata already exists on a document before adding new tags. This feedback mechanism prevents redundant tagging by detecting the current state of the document and adjusting the tagging operation accordingly, ensuring completeness without redundancy.
4Stability of the object's composition
If all documents are reindexed whenever metadata is updated, then data consistency is improved, but energy consumption and computational resources increase
Solution Approach 1:
The system applies partial action by reindexing only the specific documents that have had metadata added to them, rather than reindexing all documents in the collection. The tagging script identifies and processes only those documents requiring updates, maintaining data consistency for affected documents while minimizing unnecessary computational expenditure on unchanged documents.
Data Source
AI summary
A shard of a selected document is identified. A hierarchy of documents including the selected document are to be tagged with metadata in a data store of a search engine so that the related documents are queryable by the metadata using the search engine. The shard specifies a location of the related documents within the data store of the search engine. For each related document, a tagging operation is generated within a script, the tagging operation specifying the metadata, the shard, an identifier of the related document, and an identifier of the selected document. The script including the generated tagging operation for each related document is transmitted to the search engine to execute to tag the related documents in the data store with the metadata and with the selected document as a source of the metadata.