Nested Search Expression Generator for Semantic Content Analysis
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Solution Overview
Problem
Current data processing technologies, including data mining, information retrieval, search-by-example systems, and natural language understanding, fail to fully exploit the potential for automatic knowledge discovery and analysis of content publication effects due to insensitivity to content interrelationships and limitations in handling imperfect matches and semantic relatedness.
Innovation Solution
The development of a search expression generator that constructs recursively parenthesized search expressions using juxtaposition operators, proximity relationships, and annotated word classes to generate search expressions from content items, which are then applied to content collections to identify relevant content and predict publication effectiveness, incorporating methods for handling imperfect matches and semantic analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If traditional data mining and information retrieval technologies are used, then basic search functionality is provided, but the system fails to exploit content interrelationships and semantic relatedness for automatic knowledge discovery
Solution Approach 1:
The patent implements nested search expressions where inner expressions represent specific content elements and outer expressions represent broader contextual relationships. This nesting structure allows the system to capture both detailed content matches and higher-level semantic relationships, enabling automatic knowledge discovery while preserving content interrelationships.
Solution Approach 2:
The patent introduces search expressions as intermediary representations that bridge raw content and knowledge discovery results. These expressions act as mediators that encode semantic relationships and content interrelationships, allowing the system to automatically discover knowledge without losing important contextual information.
2Measurement precision
If search-by-example systems are applied, then searches corresponding to content instances are performed, but the systems are insensitive to content interrelationships
Solution Approach 1:
The patent extends traditional single-dimension search by adding dimensional layers for content interrelationships and semantic relatedness. Search expressions operate in multiple dimensions simultaneously - matching specific content terms while also capturing contextual relationships, thereby improving search accuracy without losing interrelationship information.
Solution Approach 2:
The patent creates composite search expressions that combine multiple types of information - exact content matches, semantic relationships, and contextual interrelationships - into a unified search mechanism. This composite approach maintains measurement precision while preserving content interrelationships that traditional systems lose.
3Productivity
If predictive analytic technology is used, then predictions of content publication effects are supported, but the system cannot fully exploit potential for analyzing probable effects from previous content publications
Solution Approach 1:
The patent performs preliminary analysis of content interrelationships and semantic structures before conducting predictive analytics. By pre-processing content to extract and encode relationships, the system prepares data in a form that maximizes prediction effectiveness while preserving publication effect information for subsequent analysis.
Solution Approach 2:
The patent implements feedback loops where search results and content interrelationships inform subsequent predictive analyses. The system uses discovered relationships to refine predictions about content publication effects, and uses prediction outcomes to guide further search and discovery, thereby improving productivity without losing valuable effect data.
Data Source
AI summary
Methods, storage media, and apparatuses associated with evaluating a content item are disclosed herein. In various embodiments, a computer-implemented method may include receiving, by a search expression generator operated by a computer, the content item. Additionally, the method may include generating a search expression, by the search expression generator, based on the content item, to facilitate evaluating the content item based at least in part on searching other content items using the search expression. The search expression may indicate nested juxtapositions of sub-expressions of the search expression. In other embodiments, at least one storage medium may include instructions implementing a search engine that applies the search expression to a collection of other content items. In still other embodiments, an apparatus may include a configurator adapted to organize the collection of other content items. Other embodiments may also be disclosed and claimed.