Mixed Materials
Grounding Stream Reasoning Research
| Τίτλος: | Grounding Stream Reasoning Research |
|---|---|
| Συγγραφείς: | Bonte, Pieter, Calbimonte, Jean-Paul, de Leng, Daniel, Dell'Aglio, Daniele, Della Valle, Emanuele, Eiter, Thomas, Giannini, Federico, Heintz, Fredrik, Schekotihin, Konstantin, Le-Phuoc, Danh, Mileo, Alessandra, Schneider, Patrik, Tommasini, Riccardo, Urbani, Jacopo, Ziffer, Giacomo |
| Στοιχεία εκδότη: | Linköpings universitet, Artificiell intelligens och integrerade datorsystem Linköpings universitet, Tekniska fakulteten KU Leuven Campus Kulak University of Applied Sciences and Arts Western Switzerland HES-SO Aalborg University DEIB - Politecnico di Milano Technische Universität Wien DEIB - Politecnico di Milano Alpen-Adria-Universität Klagenfurt Technical University Berlin Insight Centre for Data Analytics, Dublin City University Technische Universität Wien INSA Lyon Vrije Universiteit Amsterdam DEIB - Politecnico di Milano Wadern, Germany : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH 2024 |
| Τύπος εγγράφου: | Mixed materials |
| Περίληψη: | In the last decade, there has been a growing interest in applying AI technologies to implement complex data analytics over data streams. To this end, researchers in various fields have been organising a yearly event called the "Stream Reasoning Workshop" to share perspectives, challenges, and experiences around this topic. In this paper, the previous organisers of the workshops and other community members provide a summary of the main research results that have been discussed during the first six editions of the event. These results can be categorised into four main research areas: The first is concerned with the technological challenges related to handling large data streams. The second area aims at adapting and extending existing semantic technologies to data streams. The third and fourth areas focus on how to implement reasoning techniques, either considering deductive or inductive techniques, to extract new and valuable knowledge from the data in the stream. This summary is written not only to provide a crystallisation of the field, but also to point out distinctive traits of the stream reasoning community. Moreover, it also provides a foundation for future research by enumerating a list of use cases and open challenges, to stimulate others to join this exciting research area. |
| Όροι ευρετηρίου: | Stream Reasoning, Stream Processing, RDF streams, Streaming Linked Data, Continuous query processing, Temporal Logics, High-performance computing, Databases, Computer Sciences, Datavetenskap (datalogi), Article in journal, info:eu-repo/semantics/article, text |
| DOI: | 10.4230.TGDK.2.1.2 |
| Σύνδεσμος: | 2024, 2:1, s. 1-47 Transactions on Graph Data and Knowledge (TGDK), 2942-7517, 2024, 2:1, s. 1-47 |
| Διαθεσιμότητα: | Open access content. Open access content info:eu-repo/semantics/openAccess |
| Σημείωση: | application/pdf English |
| Other Numbers: | UPE oai:DiVA.org:liu-203211 0000-0002-8931-8343 0000-0002-0364-6945 0000-0001-6356-045X 0000-0003-4904-2511 0000-0002-5176-5885 0000-0001-6003-6345 0000-0002-4210-6271 0000-0002-9595-2471 0000-0002-0286-0958 0000-0003-2480-9261 0000-0002-6614-6462 0000-0003-2973-5097 0000-0003-3404-5250 0000-0002-0717-3559 0000-0002-2768-3580 doi:10.4230/TGDK.2.1.2 1541884424 |
| Πηγή συνεισφοράς: | UPPSALA UNIV LIBR From OAIster®, provided by the OCLC Cooperative. |
| Αριθμός Καταχώρησης: | edsoai.on1541884424 |
| Βάση Δεδομένων: | OAIster |
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