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{{Event | {{Event | ||
| + | |Acronym=ADBIS 2021 | ||
| + | |Title=25th European Conference on Advances in Databases and Information Systems | ||
| + | |Ordinal=25 | ||
| + | |In Event Series=Event Series:ADBIS | ||
| + | |Single Day Event=no | ||
| + | |Start Date=2021/08/24 | ||
| + | |End Date=2021/08/26 | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=on site | ||
| + | |Venue=Tartu Ülikooli Delta keskus | ||
| + | |City=Tartu | ||
| + | |Region=Tartumaa | ||
| + | |Country=Country:EE | ||
| + | |Academic Field=Database; Information System | ||
| + | |Official Website=https://adbis2021.cs.ut.ee/ | ||
| + | |Submission Link=https://easychair.org/account/signin?l=SG1qIQ2LpVLsC8v2P7AFG2# | ||
|Twitter account=@AdbisConf | |Twitter account=@AdbisConf | ||
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|Type=Conference | |Type=Conference | ||
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|Year=2021 | |Year=2021 | ||
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|TibKatId=1775330443 | |TibKatId=1775330443 | ||
|pageCreator=User:Curator 27 | |pageCreator=User:Curator 27 | ||
|pageEditor=User:Curator 27 | |pageEditor=User:Curator 27 | ||
|contributionType=1 | |contributionType=1 | ||
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}} | }} | ||
{{Event Deadline | {{Event Deadline | ||
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|Submission Deadline=2021/03/15 | |Submission Deadline=2021/03/15 | ||
}} | }} | ||
| + | {{Organizer | ||
| + | |Contributor Type=organization | ||
| + | |Organization=Institute of Computer Science, University of Tartu | ||
| + | }} | ||
| + | {{Event Metric}} | ||
{{S Event}} | {{S Event}} | ||
| − | * Topics | + | *Topics |
| − | * Data-intensive sciences and databases | + | *Data-intensive sciences and databases |
| − | * Distributed ledger technologies | + | *Distributed ledger technologies |
| − | * Theoretical foundations of databases | + | *Theoretical foundations of databases |
| − | * Information extraction and integration | + | *Information extraction and integration |
| − | * Management of large-scale data systems | + | *Management of large-scale data systems |
| − | * Streaming data analysis | + | *Streaming data analysis |
| − | * Data models and query languages | + | *Data models and query languages |
| − | * Scalable data analysis and analytics | + | *Scalable data analysis and analytics |
| − | * Database monitoring and (self-) tuning | + | *Database monitoring and (self-) tuning |
| − | * Data and information visualization; and user interfaces | + | *Data and information visualization; and user interfaces |
| − | * Data curation, annotation, and provenance | + | *Data curation, annotation, and provenance |
| − | * Information quality and usability | + | *Information quality and usability |
| − | * Data warehousing, OLAP, and ETL tools | + | *Data warehousing, OLAP, and ETL tools |
| − | * Information system architectures and networking | + | *Information system architectures and networking |
| − | * Indexing, query processing and optimization | + | *Indexing, query processing and optimization |
| − | * Business process modelling and optimization | + | *Business process modelling and optimization |
| − | * Data mining and knowledge discovery | + | *Data mining and knowledge discovery |
| − | * Data and information flow engineering and management | + | *Data and information flow engineering and management |
| − | * Big data storage, replication, and consistency | + | *Big data storage, replication, and consistency |
| − | * Context-aware and adaptive information systems | + | *Context-aware and adaptive information systems |
| − | * Modelling, mining and querying user-generated content | + | *Modelling, mining and querying user-generated content |
| − | * Data and information-intensive services | + | *Data and information-intensive services |
| − | * Data quality and data cleansing | + | *Data quality and data cleansing |
| − | * Requirements engineering for databases and information systems | + | *Requirements engineering for databases and information systems |
| − | * Web, XML and semi-structured databases | + | *Web, XML and semi-structured databases |
| − | * Artificial intelligence in databases and information systems | + | *Artificial intelligence in databases and information systems |
| − | * Sensor databases and mobile data management | + | *Sensor databases and mobile data management |
| − | * Data, information, and information systems security | + | *Data, information, and information systems security |
| − | * Text databases and information retrieval | + | *Text databases and information retrieval |
| − | * Innovative platforms for data and information handling | + | *Innovative platforms for data and information handling |
| − | * Probabilistic databases, uncertainty and approximate querying | + | *Probabilistic databases, uncertainty and approximate querying |
| − | * Innovative approaches for database and information systems engineering | + | *Innovative approaches for database and information systems engineering |
| − | * Temporal and spatial databases | + | *Temporal and spatial databases |
| − | * Novel database and information systems applications | + | *Novel database and information systems applications |
| − | * Graph databases | + | *Graph databases |
| − | *Challenges and novel approaches in teaching databases and information systems | + | *Challenges and novel approaches in teaching databases and information systems |
| − | * Databases on emerging hardware architectures | + | *Databases on emerging hardware architectures |
| − | * Distributed data platforms, including Cloud data systems, key-value stores, and Big Data systems | + | *Distributed data platforms, including Cloud data systems, key-value stores, and Big Data systems |
Important Dates | Important Dates | ||
Paper submission deadline: 15 March 2021 | Paper submission deadline: 15 March 2021 | ||
Notification of acceptance: 26 April 2021 | Notification of acceptance: 26 April 2021 | ||
Camera-ready papers: 24 May 2021 | Camera-ready papers: 24 May 2021 | ||
Revision as of 12:21, 22 February 2023
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Metrics
Venue
Tartu Ülikooli Delta keskus, Tartu, Tartumaa, Estonia
- Topics
- Data-intensive sciences and databases
- Distributed ledger technologies
- Theoretical foundations of databases
- Information extraction and integration
- Management of large-scale data systems
- Streaming data analysis
- Data models and query languages
- Scalable data analysis and analytics
- Database monitoring and (self-) tuning
- Data and information visualization; and user interfaces
- Data curation, annotation, and provenance
- Information quality and usability
- Data warehousing, OLAP, and ETL tools
- Information system architectures and networking
- Indexing, query processing and optimization
- Business process modelling and optimization
- Data mining and knowledge discovery
- Data and information flow engineering and management
- Big data storage, replication, and consistency
- Context-aware and adaptive information systems
- Modelling, mining and querying user-generated content
- Data and information-intensive services
- Data quality and data cleansing
- Requirements engineering for databases and information systems
- Web, XML and semi-structured databases
- Artificial intelligence in databases and information systems
- Sensor databases and mobile data management
- Data, information, and information systems security
- Text databases and information retrieval
- Innovative platforms for data and information handling
- Probabilistic databases, uncertainty and approximate querying
- Innovative approaches for database and information systems engineering
- Temporal and spatial databases
- Novel database and information systems applications
- Graph databases
- Challenges and novel approaches in teaching databases and information systems
- Databases on emerging hardware architectures
- Distributed data platforms, including Cloud data systems, key-value stores, and Big Data systems
Important Dates Paper submission deadline: 15 March 2021 Notification of acceptance: 26 April 2021 Camera-ready papers: 24 May 2021
