Human Rights Unified Software Engine (HR-FUSE)

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Human Rights Fayad's Unified Software Engine (HR-FUSE) is a multi-purpose social network engine that provides many ways for any person to report a complaint for one or more reasons with evidence. The engine provinces' analysis of this complaint using content mining and visualization techniques looks for any violation of human rights rules. The engine keeps track of different types of breaches and categorizes and records the violation in various logs, generating additional reports. The engine provides many other supports to its users, such as advice on what to do, notifications of the responsible and authorized parties, consulting, and legal guidelines and actions. The HR-FUSE provides complaint management, reason and evidence analysis, true violation discovery and severity assessment, human rights violation early warning and preventive measures, human rights monitoring, risk identification, analysis and evaluation, solution scenarios generation, illustrate scenarios with different actors and parties and simulate their roles in any human rights violations, generate all the data needed to be analyzed, visualized, and animated and can be utilized in unlimited human rights violations at all levels worldwide. The HR-FUSE covers a large number of aspects or mechanisms focused on geographic elements (combination of spatial data and temporal data), combined political and economic dimensions, right-based approaches, human rights violation dynamism, structural root causes of human rights violations, understanding of the roots of any human rights violations, human security, and human rights, event data analysis (qualitative and qualitative), devising evidence-based peace-building and strategies, aid fostering long-term reconciliation and recovery, etc. The HR-Engine generates enormous volumes of different types of data driven from the abovementioned aspects and mechanisms, such as spatial, temporal, views, analytical, political, economic, event-driven, behavioral, stack-holder data, and historical data. For example, Spatial data is the data or information that identifies or detects the geographic locations of various features and boundaries where human rights violation exists. Data can also be temporal, i.e., temporal data is such that it is valid only for a certain extent in time and has an expiry date and time to it. Currently, most of the research on data mining in geospatial data takes the static view of geospatial phenomena, which captures only one aspect of data, i.e., spatiality. However, as all geographic aspects evolve slowly over time, both 'spatiality' and 'temporality' are central to our understanding of geographic processes and events. The HR-Engine extracts and culls knowledge and skills from spatiotemporal data that will help us better predict spatial processes or events over time. HR-Engine extracts other data, such as stakeholder behavior data, economic data, and political data will shed an understanding of the conflict situation and predicate possible resolutions.

Main Goals

• Specific Goal 01: To formulate a large-scale prototype, including its Knowledge Map and Architecture for the proposed system. The core knowledge forms an HR-FUSE engine that can be extended, adapted to different needs, and customized. HR-FUSE has many additional properties, such as (a) Runs online all the time like search engines, (b) Provides unlimited spatial, temporal, and spatiotemporal applications, (c) Has unlimited capabilities, such as algorithms and mechanism, (d) Does not require prior investment needed, (e) Has provisions of high security and privacy, (f) Handles unlimited number of Users/Usages, (g) Limits cost per usage (Royalty, Subscriptions, and Memberships), (h) Handles unlimited number of applications (RUNS) in the same time, (i) Shows a level of needs and demand for a giving technology (Evaluation of Technology), (j) Available all the time for usage online ranges from single users (individuals) and large enterprises, (k) Has no maintenance and license fees – no prior fees for using the engine, (l) Runs multiple algorithms on a complex aspects' dataset and provide comparative results, (m) Easy to adapt, customize, extend with many different kernels, such as visualization, animation, etc, and (n) collect unlimited types of data and contents including live data on the spot, such as videos, pictures, environmental conditions, recordings, etc..

• Specific Goal 02: To develop an easy, web-based portal/interface to HR-USE, a single-entry interface. It takes Any Log (i.e., file), which contains different types of human rights violations data and contents, to be mined, analyzed, assessed, visualized, and animated and shows one or more logs that contain the data results. The web-based provides hidden pages that will track and show several trends about the number of users, members, subscribers, and transactions daily, weekly, monthly, etc., with meaningful curves. Also, use of mechanisms' frequency and durations as bases to compare different mechanisms and aspects, mechanisms' findings, and suggest actions to be taken – Use tables and curves to compare the frequency and duration of all the mechanisms and to compare data results and show the similarities and differences of using different aspects and mechanisms.

• Specific Goal 03: Collect and document the HR-FUSE core knowledge (analysis, design, architectural) patterns. We plan to collect, analyze, and report all the stable core knowledge patterns of the entire knowledge map based on software stability.

This project aims to develop a timeless, stable, and open architecture for multi-purpose human rights violations (data and contents) management engine, where both stable classes (aspects) and application classes are designed separately from each other. Their composition is formally supported to ensure correctness. This separation of concerns allows for reusability and enables the building of stable, reusable, adaptable, and extendable software systems for HR-FUSE.

To master this HR-FUASE, we must come up with Human Right Knowledge Areas that include:

1) Stable Analysis Patterns (SAPs) or Enduring Business Themes (EBTs)

2) Stable Design Patterns (SDPs) or Business Objects (BOs)

3) Stable Architecture Patterns (SArchPs) or USA on-Demand (EBTs, BOs, or a Mix of Both)

4) Knowledge Map for Unified Domain Analysis

5) Unified Human Right Standard

6) HR-FUSE – The Engine

7) HR-FUSE Unified Modeling

8) HR-FUSE Business Rules

9) HR-FUSE Dictionary

10) HR-FUSE Applicability

11) HR-FUSE Industrial Objects (IOs) Library for automation of application generator