XML Auto-Completion via Context-Aware Scoring and Mediator Architecture
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Solution Overview
Problem
Search engines are not well-suited to take advantage of the hierarchical structure of XML documents, making it difficult for users to search for XML tags and data without complete knowledge of the document structure.
Innovation Solution
An auto-completion mechanism is provided that constructs indices for XML tags and data within the documents, allowing users to search within specific nodes of the document hierarchy, with scoring functions to rank potential completions based on frequency and context, enabling context-sensitive searching and navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If search engines treat XML documents as just sequence of bytes without utilizing hierarchical structure, then the search engine can be simple and universally applicable, but the ability to search for XML tags and structure is lost
Solution Approach 1:
The patent introduces an intermediary component that sits between the search engine and XML documents. This intermediary parses XML documents into a structured format (such as a document object model or abstract syntax tree), allowing the search engine to query hierarchical structure without being directly coupled to XML parsing logic. This mediator enables structure-aware searching while keeping the core search engine relatively simple and reusable.
Solution Approach 2:
The search system is divided into separate functional modules: an XML parsing module that converts documents into structured representations, an indexing module that processes the structured data, and a query module that handles searches. This segmentation allows each component to be optimized independently and enables the system to leverage XML hierarchy without complicating the entire search engine.
2Ease of operation
If users need complete knowledge of document structure to search effectively, then precise searching is possible, but the ease of operation is reduced
Solution Approach 1:
The system provides feedback to users during the search process by analyzing query terms and suggesting relevant paths, tags, or data elements based on the XML document structure. When users enter partial search terms, the system returns contextual suggestions that guide them toward appropriate search paths without requiring them to know the complete document structure in advance. This feedback loop enables users to discover the structure through interaction.
Solution Approach 2:
The system performs preliminary analysis of the XML document structure and pre-computes indexing information that captures hierarchical relationships, tag frequencies, and data patterns. This preliminary processing enables the system to provide intelligent suggestions and auto-completion features that guide users through the structure without requiring them to manually navigate or understand the entire hierarchy beforehand.
3Measurement precision
If search results are ranked without considering context, then the ranking process is simple, but the precision of search results is reduced
Solution Approach 1:
The scoring function applies different weighting factors and ranking criteria based on the local context of search results. Instead of using a uniform scoring mechanism, the system adjusts scores according to the hierarchical level, tag type, data frequency, and positional information within the XML structure. This local quality approach enables context-sensitive ranking that improves precision without requiring a completely complex re-engineering of the entire system.
Data Source
AI summary
Mechanisms are described for providing auto-completion capability in a user interface that allows users to search for XML tags and data in a collection of XML documents. A user searching for data in XML documents might not be aware of the entire structure of the data. A path context may be specified for narrowing the search to a particular set of nodes within the documents in the collection. When the user is in the process of typing in an XML tag name, but prior to submitting the tag name to the search engine, the user interface presents an ordered list of completed XML tags that match the prefix typed by the user. The order of the tags in the list reflects the frequency of the completed tags found within the specified path context of the collection of documents. Likewise, when the user is in the process of typing a string of text to be searched for within the value of XML nodes in the set of documents, but prior to submitting the test string to the search engine, the user interface presents an ordered list of completed text strings that match the partially specified text, where the order of the completed text strings reflects their frequency within the specified path context in the collection of documents.