Semantische Suche
Freitag, 28. Februar 2020, 11:30 Uhr
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Ort: Raum 348 (Gebäude 50.34)
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| Vortragende(r) | Jonas Bernhard |
|---|---|
| Titel | Analyse von Zeitreihen-Kompressionsmethoden am Beispiel von Google N-Gram |
| Vortragstyp | Bachelorarbeit |
| Betreuer(in) | Martin Schäler |
| Vortragsmodus | |
| Kurzfassung | Temporal text corpora like the Google Ngram Data Set usually incorporate a vast number of words and expressions, called ngrams, and their respective usage frequencies over the years. The large quantity of entries complicates working with the data set, as transformations and queries are resource and time intensive. However, many use cases do not require the whole corpus to have a sufficient data set and achieve acceptable query results. We propose various compression methods to reduce the total number of ngrams in the corpus. Specially, we propose compression methods that, given an input dictionary of target words, find a compression tailored for queries on a specific topic. Additionally, we utilize time-series compression methods for quick estimations about the properties of ngram usage frequencies. As basis for our compression method design and experimental validation serve CHQL (Conceptual History Query Language) queries on the Google Ngram Data Set. |
Freitag, 6. März 2020, 11:30 Uhr
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Ort: Raum 348 (Gebäude 50.34)
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(Keine Vorträge)
Freitag, 13. März 2020, 11:30 Uhr
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Ort: Raum 348 (Gebäude 50.34)
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| Vortragende(r) | Jan Bauer |
|---|---|
| Titel | Feedback Mechanisms for Smart Systems |
| Vortragstyp | Bachelorarbeit |
| Betreuer(in) | Anne Koziolek |
| Vortragsmodus | |
| Kurzfassung | The talk will be held remotely from Zurich at https://global.gotomeeting.com/join/935923965 and will be streamed to room 348. You can attend via GotoMeeting or in person in room 348.
Feedback mechanisms have not yet been sufficiently researched in the context of smart systems. From the research and the industrial perspective, this motivates for investigations on how users could be supported to provide appropriate feedback in the context of smart systems. A key challenge for providing such feedback means in the smart system context might be to understand and consider the needs of smart system users for communicating their feedback. Thesis Goal: The goal of this thesis is the creation of innovative feedback mechanisms, that are tailored to a specific context within the domain of smart systems. Already existing feedback mechanisms for software in general and smart systems in particular will be assessed and the users´ needs regarding those mechanisms will be examined. Based on this, improved feedback mechanisms will be developed, either by improving on existing ones or by inventing and implementing new concepts. The overall aim of these innovative feedback mechanisms is to enable smart system users to effectively and efficiently give feedback in the context of smart systems. |
Freitag, 20. März 2020, 11:30 Uhr
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Ort: Raum 348 (Gebäude 50.34)
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(Keine Vorträge)
Freitag, 27. März 2020, 11:30 Uhr
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Ort: Raum 348 (Gebäude 50.34)
Webkonferenz: {{{Webkonferenzraum}}}
(Keine Vorträge)