A Brief Roadmap into Uncertain Knowledge Representation via Probabilistic Description Logics
Logic-based knowledge representation is one of the main building blocks of (logic-based) artificial intelligence. While most successful knowledge representation languages are based on classical logic, realistic intelligent applications need to handle uncertainty in an adequate manner. Over the years...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-09-01
|
| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/14/10/280 |
| _version_ | 1797515609312854016 |
|---|---|
| author | Rafael Peñaloza |
| author_facet | Rafael Peñaloza |
| author_sort | Rafael Peñaloza |
| collection | DOAJ |
| description | Logic-based knowledge representation is one of the main building blocks of (logic-based) artificial intelligence. While most successful knowledge representation languages are based on classical logic, realistic intelligent applications need to handle uncertainty in an adequate manner. Over the years, many different languages for representing uncertain knowledge—often extensions of classical knowledge representation languages—have been proposed. We briefly present some of the defining properties of these languages as they pertain to the family of probabilistic description logics. This limited view is intended to help pave the way for the interested researcher to find the most adequate language for their needs, and potentially identify the remaining gaps. |
| first_indexed | 2024-03-10T06:47:47Z |
| format | Article |
| id | doaj.art-f701c6e6a1ee4fbe83389d409f887fac |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-03-10T06:47:47Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-f701c6e6a1ee4fbe83389d409f887fac2023-11-22T17:08:15ZengMDPI AGAlgorithms1999-48932021-09-01141028010.3390/a14100280A Brief Roadmap into Uncertain Knowledge Representation via Probabilistic Description LogicsRafael Peñaloza0IKR3 Lab, University of Milano-Bicocca, 20126 Milano, ItalyLogic-based knowledge representation is one of the main building blocks of (logic-based) artificial intelligence. While most successful knowledge representation languages are based on classical logic, realistic intelligent applications need to handle uncertainty in an adequate manner. Over the years, many different languages for representing uncertain knowledge—often extensions of classical knowledge representation languages—have been proposed. We briefly present some of the defining properties of these languages as they pertain to the family of probabilistic description logics. This limited view is intended to help pave the way for the interested researcher to find the most adequate language for their needs, and potentially identify the remaining gaps.https://www.mdpi.com/1999-4893/14/10/280knowledge representationuncertaintyprobabilistic reasoningsurvey |
| spellingShingle | Rafael Peñaloza A Brief Roadmap into Uncertain Knowledge Representation via Probabilistic Description Logics Algorithms knowledge representation uncertainty probabilistic reasoning survey |
| title | A Brief Roadmap into Uncertain Knowledge Representation via Probabilistic Description Logics |
| title_full | A Brief Roadmap into Uncertain Knowledge Representation via Probabilistic Description Logics |
| title_fullStr | A Brief Roadmap into Uncertain Knowledge Representation via Probabilistic Description Logics |
| title_full_unstemmed | A Brief Roadmap into Uncertain Knowledge Representation via Probabilistic Description Logics |
| title_short | A Brief Roadmap into Uncertain Knowledge Representation via Probabilistic Description Logics |
| title_sort | brief roadmap into uncertain knowledge representation via probabilistic description logics |
| topic | knowledge representation uncertainty probabilistic reasoning survey |
| url | https://www.mdpi.com/1999-4893/14/10/280 |
| work_keys_str_mv | AT rafaelpenaloza abriefroadmapintouncertainknowledgerepresentationviaprobabilisticdescriptionlogics AT rafaelpenaloza briefroadmapintouncertainknowledgerepresentationviaprobabilisticdescriptionlogics |