{"id":21291550,"url":"https://github.com/smartdataanalytics/qacomponents-analysis","last_synced_at":"2025-03-15T16:34:04.482Z","repository":{"id":69129047,"uuid":"137901836","full_name":"SmartDataAnalytics/QAComponents-analysis","owner":"SmartDataAnalytics","description":null,"archived":false,"fork":false,"pushed_at":"2020-06-28T13:34:54.000Z","size":1912,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":17,"default_branch":"master","last_synced_at":"2025-01-22T06:22:43.418Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SmartDataAnalytics.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-06-19T14:20:50.000Z","updated_at":"2020-06-28T13:34:56.000Z","dependencies_parsed_at":"2023-03-28T21:32:56.081Z","dependency_job_id":null,"html_url":"https://github.com/SmartDataAnalytics/QAComponents-analysis","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SmartDataAnalytics%2FQAComponents-analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SmartDataAnalytics%2FQAComponents-analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SmartDataAnalytics%2FQAComponents-analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SmartDataAnalytics%2FQAComponents-analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SmartDataAnalytics","download_url":"https://codeload.github.com/SmartDataAnalytics/QAComponents-analysis/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243760420,"owners_count":20343628,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-21T13:35:15.061Z","updated_at":"2025-03-15T16:34:04.439Z","avatar_url":"https://github.com/SmartDataAnalytics.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# QAComponents-analysis\nThis is the Github repository for the submitted JWS paper \"No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge Graph\".\nFollowing are the folders in the repository for various experiments in the paper: The original Frankenstein repository: [Frankenstein Framework](https://github.com/WDAqua/Frankenstein).\nIn Frankenstein repository, you will be pointed to the Qanary components, which are part of this analysis paper. You can directly find the components in [Qanary Components](https://github.com/WDAqua/Qanary-question-answering-components). All the components are recently updated to ensure reproducibility. \nOne can educate them in detail about Qanary methodology and its usage on: [Qanary Methodology](https://github.com/WDAqua/Qanary). It also includes how to add a new component and run a pipeline. \n\nFor non-expert users, a majority of components are available to access via a web UI: [Frankenstein Web UI](http://frankenstein.qanary-qa.com/).\n\nThe *RawData* folder contains all raw data produced in our experiments that have been used in the analysis. In particular, the raw data is organized in the following folders:\n\n- *Component Performance*: This folder contains all the files of the different question Answering Tasks (QA Tasks). F-score for each question per component\nis given in the files.\n\n- *Component Performance Aggregated*: This folder sums up the f-score values of the component per question feature for various QA tasks.\n\n- *Top Count*: This folder contains values of the number of questions answered by Top 1, top 2...top n components together for each task.\n\n- *Unanswered*: This folder contains all the unanswered questions, and the associated question features.\n\nFinally, the folder *Rplots* contains the R scripts used to generate the plots of the paper, as well as the generated plots in pdf format.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsmartdataanalytics%2Fqacomponents-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsmartdataanalytics%2Fqacomponents-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsmartdataanalytics%2Fqacomponents-analysis/lists"}