Task-Oriented Search Engine with Semantic Layer
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Solution Overview
Problem
Common search engines lack the ability to direct users to relevant tasks associated with their search queries, leaving users to determine the relevance and utility of search results on their own.
Innovation Solution
A task-oriented search engine application with a semantic layer that conceptualizes search terms, correlates them with relevant tasks, and presents task-solving applications or tools to assist users in performing those tasks, utilizing a repository of pre-defined tasks and task-solving tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a common search engine is used to retrieve information based on search queries, then information can be found through keyword matching, but the search engine cannot direct users to relevant tasks or determine the utility of search results
Solution Approach 1:
The patent introduces a semantic layer as an intermediary component between the search engine and users. This semantic layer analyzes search queries to identify user intent and correlates search terms with predefined tasks, thereby enabling task direction without fundamentally redesigning the entire search system. The semantic layer acts as a mediator that transforms conventional keyword-based search into task-oriented search.
Solution Approach 2:
The search system is segmented into distinct functional components: the conventional search engine for information retrieval, the semantic layer for intent analysis and task correlation, and the task repository for storing predefined tasks. This segmentation allows each component to specialize in its function while working together to provide task-oriented search capabilities.
2Productivity
If search results are presented without task context, then users can browse information freely, but users must manually determine relevance and utility of results
Solution Approach 1:
The system performs preliminary action by pre-defining a repository of tasks with their associated search terms and utilities before users conduct searches. When users submit queries, the semantic layer quickly matches them against this pre-prepared task repository, eliminating the need for users to manually evaluate each search result's utility. This preliminary preparation significantly reduces the time users spend determining result relevance.
3Adaptability or versatility
If a semantic layer is added to conceptualize search terms and correlate with tasks, then task-oriented search is enabled, but system complexity increases
Solution Approach 1:
The semantic layer is designed to perform multiple functions: analyzing search queries for user intent, correlating search terms with tasks, and presenting task-solving tools. By consolidating these functions into a single multi-functional component rather than separate systems, the patent reduces overall system complexity while maintaining conceptual search capabilities.
4Ease of operation
If task-solving tools are presented with search results, then users gain access to necessary tools for task completion, but information presentation becomes more complex
Solution Approach 1:
The patent merges the presentation of search results with task-solving tools into a unified interface. Instead of separate sections for search results and tools, the system integrates them so that relevant tasks and their solving tools are presented together with search results. This merging simplifies the user experience by providing everything needed for task completion in one place.
Data Source
AI summary
A task-oriented search tool searches for one or more tasks related to a search term submitted via a computer-user interface. The task-oriented search tool displays search results that include a task related to the search term and a task-solving tool for performing the task related to the search term.