Dynamic Decision Trees
Knowledge comes in various forms: scientific, artistic, legal, and many others. For most non-computer scientists, it is far easier to express their knowledge in text than in programming code. The dynamic decision tree system is a system for supporting the authoring of expertise in text form and navi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Knowledge |
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| Online Access: | https://www.mdpi.com/2673-9585/4/4/27 |
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| _version_ | 1846104040873656320 |
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| author | Joseph Vidal Spriha Jha Zhenyuan Liang Ethan Delgado Bereket Siraw Deneke Dennis Shasha |
| author_facet | Joseph Vidal Spriha Jha Zhenyuan Liang Ethan Delgado Bereket Siraw Deneke Dennis Shasha |
| author_sort | Joseph Vidal |
| collection | DOAJ |
| description | Knowledge comes in various forms: scientific, artistic, legal, and many others. For most non-computer scientists, it is far easier to express their knowledge in text than in programming code. The dynamic decision tree system is a system for supporting the authoring of expertise in text form and navigation via an interface that limits the cognitive load on the reader. Specifically, as the reader answers questions, relevant tree nodes appear and irrelevant ones disappear. Searching by a keyword can help to navigate the tree. Database calls bring in information from external datasets. Links bring in other decision trees as well as websites. This paper describes the reader interface, the authoring interface, the related state-of-the-art work, the implementation, and case studies. |
| format | Article |
| id | doaj-art-e378b00aa2f243aab6d365d219a2dcc8 |
| institution | Kabale University |
| issn | 2673-9585 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Knowledge |
| spelling | doaj-art-e378b00aa2f243aab6d365d219a2dcc82024-12-27T14:34:43ZengMDPI AGKnowledge2673-95852024-10-014450654210.3390/knowledge4040027Dynamic Decision TreesJoseph Vidal0Spriha Jha1Zhenyuan Liang2Ethan Delgado3Bereket Siraw Deneke4Dennis Shasha5School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USAComputer Science Department, New York University, New York, NY 10012, USADepartment of Computer Science, Duke University, Durham, NC 27705, USAComputer Science Department, New York University, New York, NY 10012, USAComputer Science Department, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab EmiratesComputer Science Department, New York University, New York, NY 10012, USAKnowledge comes in various forms: scientific, artistic, legal, and many others. For most non-computer scientists, it is far easier to express their knowledge in text than in programming code. The dynamic decision tree system is a system for supporting the authoring of expertise in text form and navigation via an interface that limits the cognitive load on the reader. Specifically, as the reader answers questions, relevant tree nodes appear and irrelevant ones disappear. Searching by a keyword can help to navigate the tree. Database calls bring in information from external datasets. Links bring in other decision trees as well as websites. This paper describes the reader interface, the authoring interface, the related state-of-the-art work, the implementation, and case studies.https://www.mdpi.com/2673-9585/4/4/27decision-making softwaredecision-making tooldecision treeexpert systemknowledge representationdatabase queries |
| spellingShingle | Joseph Vidal Spriha Jha Zhenyuan Liang Ethan Delgado Bereket Siraw Deneke Dennis Shasha Dynamic Decision Trees Knowledge decision-making software decision-making tool decision tree expert system knowledge representation database queries |
| title | Dynamic Decision Trees |
| title_full | Dynamic Decision Trees |
| title_fullStr | Dynamic Decision Trees |
| title_full_unstemmed | Dynamic Decision Trees |
| title_short | Dynamic Decision Trees |
| title_sort | dynamic decision trees |
| topic | decision-making software decision-making tool decision tree expert system knowledge representation database queries |
| url | https://www.mdpi.com/2673-9585/4/4/27 |
| work_keys_str_mv | AT josephvidal dynamicdecisiontrees AT sprihajha dynamicdecisiontrees AT zhenyuanliang dynamicdecisiontrees AT ethandelgado dynamicdecisiontrees AT bereketsirawdeneke dynamicdecisiontrees AT dennisshasha dynamicdecisiontrees |