Thomas Steiner, PhD
Reutlingen, Baden-Württemberg, Deutschland
3185 Follower:innen
500+ Kontakte
Info
Developer Relations Engineer at Google, focused on the Web and Project Fugu. Dad-of-3…
Aktivitäten
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Today I have been delilighted to participate in this year's Google Developer Groups Munich with my friend Tayfun Bönsch Such an incredible…
Today I have been delilighted to participate in this year's Google Developer Groups Munich with my friend Tayfun Bönsch Such an incredible…
Beliebt bei Thomas Steiner, PhD
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Global Privacy Control (GCP) is now in First Public Working Draft stage: https://www.w3.org/TR/gpc/. It's as easy as sending an HTTP header with your…
Global Privacy Control (GCP) is now in First Public Working Draft stage: https://www.w3.org/TR/gpc/. It's as easy as sending an HTTP header with your…
Geteilt von Thomas Steiner, PhD
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📢 New #WasmAssembly podcast episode 🎙️! Squishy #Wasm apps using #Extism with Dylibso's Steve Manuel: 🎧 Audio: https://lnkd.in/dcGaEwaY 🍿 Video:…
📢 New #WasmAssembly podcast episode 🎙️! Squishy #Wasm apps using #Extism with Dylibso's Steve Manuel: 🎧 Audio: https://lnkd.in/dcGaEwaY 🍿 Video:…
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Berufserfahrung
Ausbildung
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Universitat Politècnica de Catalunya
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Finished a PhD on event summarization based on social networks, co-supervised by Joaquim Gabarro (UPC) and Michael Hausenblas (former DERI, now MapR). The title of my thesis is Enriching Unstructured Media Content About Events to Enable Semi-Automated Summaries, Compilations, and Improved Search by Leveraging Social Networks. The thesis was submitted for review in October 2013.
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Postdoctoral researcher working on models and tools for publishing and analyzing annotated videos of live performances.
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Bescheinigungen und Zertifikate
Veröffentlichungen
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Exploring entity recognition and disambiguation for cultural heritage collections
Literary and Linguistic Computing
Unstructured metadata fields such as ‘description’ offer tremendous value for users to understand cultural heritage objects. However, this type of narrative information is of little direct use within a machine-readable context due to its unstructured nature. This article explores the possibilities and limitations of named-entity recognition (NER) and term extraction (TE) to mine such unstructured metadata for meaningful concepts. These concepts can be used to leverage otherwise limited…
Unstructured metadata fields such as ‘description’ offer tremendous value for users to understand cultural heritage objects. However, this type of narrative information is of little direct use within a machine-readable context due to its unstructured nature. This article explores the possibilities and limitations of named-entity recognition (NER) and term extraction (TE) to mine such unstructured metadata for meaningful concepts. These concepts can be used to leverage otherwise limited searching and browsing operations, but they can also play an important role to foster Digital Humanities research. To catalyze experimentation with NER and TE, the article proposes an evaluation of the performance of three third-party entity extraction services through a comprehensive case study, based on the descriptive fields of the Smithsonian Cooper–Hewitt National Design Museum in New York. To cover both NER and TE, we first offer a quantitative analysis of named entities retrieved by the services in terms of precision and recall compared with a manually annotated gold-standard corpus, and then complement this approach with a more qualitative assessment of relevant terms extracted. Based on the outcomes of this double analysis, the conclusions present the added value of entity extraction services, but also indicate the dangers of uncritically using NER and/or TE, and by extension Linked Data principles, within the Digital Humanities. All metadata and tools used within the article are freely available, making it possible for researchers and practitioners to repeat the methodology. By doing so, the article offers a significant contribution towards understanding the value of entity recognition and disambiguation for the Digital Humanities.
Andere Autor:innenVeröffentlichung anzeigen -
Exploring entity recognition and disambiguation for cultural heritage collections
Literary and Linguistic Computing
Unstructured metadata fields such as ‘description’ offer tremendous value for users to understand cultural heritage objects. However, this type of narrative information is of little direct use within a machine-readable context due to its unstructured nature. This article explores the possibilities and limitations of named-entity recognition (NER) and term extraction (TE) to mine such unstructured metadata for meaningful concepts. These concepts can be used to leverage otherwise limited…
Unstructured metadata fields such as ‘description’ offer tremendous value for users to understand cultural heritage objects. However, this type of narrative information is of little direct use within a machine-readable context due to its unstructured nature. This article explores the possibilities and limitations of named-entity recognition (NER) and term extraction (TE) to mine such unstructured metadata for meaningful concepts. These concepts can be used to leverage otherwise limited searching and browsing operations, but they can also play an important role to foster Digital Humanities research. To catalyze experimentation with NER and TE, the article proposes an evaluation of the performance of three third-party entity extraction services through a comprehensive case study, based on the descriptive fields of the Smithsonian Cooper–Hewitt National Design Museum in New York. To cover both NER and TE, we first offer a quantitative analysis of named entities retrieved by the services in terms of precision and recall compared with a manually annotated gold-standard corpus, and then complement this approach with a more qualitative assessment of relevant terms extracted. Based on the outcomes of this double analysis, the conclusions present the added value of entity extraction services, but also indicate the dangers of uncritically using NER and/or TE, and by extension Linked Data principles, within the Digital Humanities. All metadata and tools used within the article are freely available, making it possible for researchers and practitioners to repeat the methodology. By doing so, the article offers a significant contribution towards understanding the value of entity recognition and disambiguation for the Digital Humanities.
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Capturing the functionality of Web services with functional descriptions
Multimedia Tools and Applications
Many have left their footprints on the field of semantic RESTful Web service description. Albeit some of the propositions are even W3C Recommendations, none of the proposed standards could gain significant adoption with Web service providers. Some approaches were supposedly too complex and verbose, others were considered not RESTful, and some failed to reach a significant majority of API providers for a combination of the reasons above. While we neither have the silver bullet for universal Web…
Many have left their footprints on the field of semantic RESTful Web service description. Albeit some of the propositions are even W3C Recommendations, none of the proposed standards could gain significant adoption with Web service providers. Some approaches were supposedly too complex and verbose, others were considered not RESTful, and some failed to reach a significant majority of API providers for a combination of the reasons above. While we neither have the silver bullet for universal Web service description, with this paper, we want to suggest a lightweight approach called RESTdesc. It expresses the semantics of Web services by pre- and postconditions in simple N3 rules, and integrates existing standards and conventions such as Link headers, HTTP OPTIONS, and URI templates for discovery and interaction. This approach keeps the complexity to a minimum, yet still enables service descriptions with full semantic expressiveness. A sample implementation on the topic of multimedia Web services verifies the effectiveness of our approach.
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Google Scholar Profile
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Please click through to see my full list of publications.
Patente
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Dynamic adjustment of video quality
Ausgestellt am US US20150121226 A1
A video quality module receives data indicating a visibility status of a tab of a web browser running on a user device. The video quality module determines, based on the data indicating the visibility status of the tab whether the tab of the web browser is currently visible to a user of the user device, the tab of the web browser comprising a streaming media player. If the tab of the web browser is not currently visible to the user, the video quality module decreases a quality of a video…
A video quality module receives data indicating a visibility status of a tab of a web browser running on a user device. The video quality module determines, based on the data indicating the visibility status of the tab whether the tab of the web browser is currently visible to a user of the user device, the tab of the web browser comprising a streaming media player. If the tab of the web browser is not currently visible to the user, the video quality module decreases a quality of a video component of a streaming media file playing in the streaming media player.
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Non-textual user input
Ausgestellt am US US8935638 B2
A computing device receives a first user input at presence-sensitive display of the computing device, wherein the first user input corresponds to a portion of a desired non-textual object. The device displays a first graphical representation indicating the first user input at the touchscreen display, and determines a first non-textual object suggestion based upon at least the first user input. The device displays a second graphical representation indicating the first non-textual object…
A computing device receives a first user input at presence-sensitive display of the computing device, wherein the first user input corresponds to a portion of a desired non-textual object. The device displays a first graphical representation indicating the first user input at the touchscreen display, and determines a first non-textual object suggestion based upon at least the first user input. The device displays a second graphical representation indicating the first non-textual object suggestion, wherein the second graphical representation of the first non-textual object suggestion is displayed differently than the first graphical representation of the first user input, and detects an indication whether the first non-textual object suggestion corresponds to the desired non-textual object.
Andere Erfinder:innenPatent anzeigen
Projekte
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RESTdesc
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RESTdesc allows you to capture the functionality of hypermedia APIs, so automated agents can use them.
Andere Mitarbeiter:innenProjekt anzeigen
Sprachen
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German
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French
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Spanish
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Catalan
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English
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Latin
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Organisationen
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Association for Computing Machinery (ACM)
Professional Membership
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Weitere Aktivitäten von Thomas Steiner, PhD
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My student Vincent Wun uses #webai develop the new solution of internet browsing for #visuallyimpaired or #handicapped - "A-Eye Web Chat Assistant:…
My student Vincent Wun uses #webai develop the new solution of internet browsing for #visuallyimpaired or #handicapped - "A-Eye Web Chat Assistant:…
Beliebt bei Thomas Steiner, PhD
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🌟 DevFest Karlsruhe 2024 🌟 Last weekend, I had the incredible opportunity to attend DevFest Karlsruhe, organized by the amazing team at GDG…
🌟 DevFest Karlsruhe 2024 🌟 Last weekend, I had the incredible opportunity to attend DevFest Karlsruhe, organized by the amazing team at GDG…
Beliebt bei Thomas Steiner, PhD
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I presented on #WebAssembly at Google earlier today at #WasmCon. If you're interested in the various (public) ways Google is using #Wasm its various…
I presented on #WebAssembly at Google earlier today at #WasmCon. If you're interested in the various (public) ways Google is using #Wasm its various…
Veröffentlicht von Thomas Steiner, PhD
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📢 If your blog is #BuiltWith11ty and you use a classic `/yyyy/mm/dd/title` URL structure, I have a new blog post for you: #Eleventy (#11ty) year…
📢 If your blog is #BuiltWith11ty and you use a classic `/yyyy/mm/dd/title` URL structure, I have a new blog post for you: #Eleventy (#11ty) year…
Geteilt von Thomas Steiner, PhD
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📢 A new #WasmAssembly podcast 🎙️ episode is out: #Wasm Product Manager Thomas Nattestad joined me in the studio for a deep-dive into #WebAssembly:…
📢 A new #WasmAssembly podcast 🎙️ episode is out: #Wasm Product Manager Thomas Nattestad joined me in the studio for a deep-dive into #WebAssembly:…
Geteilt von Thomas Steiner, PhD
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