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Kandungan disediakan oleh tele-TASK and Prof. Dr. Harald Sack. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh tele-TASK and Prof. Dr. Harald Sack atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
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Semantic Web Technologies (WT 2014/15) - tele-TASK

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When? This feed was archived on February 19, 2021 23:10 (3y ago). Last successful fetch was on August 12, 2020 15:11 (3+ y ago)

Why? Suapan tidak aktif status. Pelayan kami tidak dapat untuk mendapatkan kembali suapan podcast yang sah untuk tempoh yang didapati.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage series 1959075
Kandungan disediakan oleh tele-TASK and Prof. Dr. Harald Sack. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh tele-TASK and Prof. Dr. Harald Sack atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
The web has become an object of our daily life and the amount of information there is ever growing. Besides plain texts, multimedia such as graphics, audio or video have become a predominant part of the web's information traffic. But, how can we find useful information within this huge information space? How can we make use of the knowledge contained in those web documents? Traditional search engines for example will reach the limits of their power, when it comes to understanding information content. The Semantic Web is an extension of the traditional web in the sense that information in the form of natural language text in the web will be complemented by its explicit semantics based on a formal knowledge representation. Thus, the meaning of information expressed in natural language can be accessed in an automated way and interpreted correctly, i.e. it can be “understood“ by machines. Semantic Web technologies enable the explicit representation of knowledge and its further processing to deduce new knowledge from implicitly hidden knowledge. Previously heterogeneous data can be mapped and combined based on common knowledge representation and schemata easily extended in a dynamic way. In this lecture, you will learn the fundamentals of Semantic Web technologies and how they are applied for knowledge representation in the Web of Data.
  continue reading

1 episod

Artwork
iconKongsi
 

Siri yang diarkibkan ("Suapan tidak aktif" status)

When? This feed was archived on February 19, 2021 23:10 (3y ago). Last successful fetch was on August 12, 2020 15:11 (3+ y ago)

Why? Suapan tidak aktif status. Pelayan kami tidak dapat untuk mendapatkan kembali suapan podcast yang sah untuk tempoh yang didapati.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage series 1959075
Kandungan disediakan oleh tele-TASK and Prof. Dr. Harald Sack. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh tele-TASK and Prof. Dr. Harald Sack atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
The web has become an object of our daily life and the amount of information there is ever growing. Besides plain texts, multimedia such as graphics, audio or video have become a predominant part of the web's information traffic. But, how can we find useful information within this huge information space? How can we make use of the knowledge contained in those web documents? Traditional search engines for example will reach the limits of their power, when it comes to understanding information content. The Semantic Web is an extension of the traditional web in the sense that information in the form of natural language text in the web will be complemented by its explicit semantics based on a formal knowledge representation. Thus, the meaning of information expressed in natural language can be accessed in an automated way and interpreted correctly, i.e. it can be “understood“ by machines. Semantic Web technologies enable the explicit representation of knowledge and its further processing to deduce new knowledge from implicitly hidden knowledge. Previously heterogeneous data can be mapped and combined based on common knowledge representation and schemata easily extended in a dynamic way. In this lecture, you will learn the fundamentals of Semantic Web technologies and how they are applied for knowledge representation in the Web of Data.
  continue reading

1 episod

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