Web Time Series Data Normalization Service
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Solution Overview
Problem
Current technologies face challenges in efficiently acquiring, managing, and utilizing time series data from web pages due to the varied formats in which this data is presented, limiting its accessibility and usability across different applications and platforms.
Innovation Solution
A computer-implemented method that receives a URL for web-based time series data, resolves and extracts the data, converts it into a normative format, and transmits it over a network, allowing for normalized data storage and access, with features for user-initiated requests, data sharing, and integration with client-side applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If time series data is extracted from web pages in various formats, then data availability increases, but data processing complexity increases
Solution Approach 1:
The patent introduces an intermediary normalization service that acts as a mediator between diverse web page data sources and client applications. This service receives time series data in various formats from web pages, normalizes them into a common format, and delivers them to clients. The intermediary handles format conversion, data validation, and standardization, thereby resolving the complexity of processing diverse formats while maintaining high data availability from multiple sources.
2Stability of the object's composition
If data normalization is performed for all web-based time series data, then data consistency improves, but processing time increases
Solution Approach 1:
The patent implements preliminary action by pre-defining normalization rules and data schemas for different web page formats. These normalization templates are prepared in advance based on common data structures encountered from various sources. When new time series data is received, the system matches it against pre-configured templates and applies the corresponding normalization rules, significantly reducing processing time while maintaining consistent data output formats.
3Ease of operation
If time series data is made accessible across multiple platforms, then user accessibility improves, but system complexity increases
Solution Approach 1:
The patent creates a universal data access platform that serves multiple client types (web browsers, mobile devices, desktop applications) through a single normalized data interface. The normalization service provides platform-agnostic data delivery, allowing the same normalized time series data to be consumed by diverse clients without requiring separate processing pipelines for each platform. This multi-functional approach improves user accessibility across platforms while avoiding the complexity of maintaining separate data extraction and processing systems for each client type.
Data Source
AI summary
A computer-implemented method of providing time series data includes maintaining by a web server user account data for each of a plurality of user accounts. Each account is associated with a user. The method includes, for each user having a user account, serving by the web server a set of web pages configured to support uploading of time series data to the web server, including updates of such data from time to time; storing by the web server the uploaded time series data; and serving by the web server a set of web pages configured to present such data to such user. Related methods include a method for web-publishing the data, and loading the data into applications running locally. There is also provided a digital storage medium encoded with instructions that when loaded into a computer establish processes that implement any of these methods.