کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6950472 | 1451600 | 2017 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The xLiMe system: Cross-lingual and cross-modal semantic annotation, search and recommendation over live-TV, news and social media streams
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
سیستم های اطلاعاتی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: The xLiMe system: Cross-lingual and cross-modal semantic annotation, search and recommendation over live-TV, news and social media streams The xLiMe system: Cross-lingual and cross-modal semantic annotation, search and recommendation over live-TV, news and social media streams](/preview/png/6950472.png)
چکیده انگلیسی
Modern Web search engines still have many limitations: search terms are not disambiguated, search terms in one query cannot be in different languages, the retrieved media items have to be in the same language as the search terms and search results are not integrated across a live stream of different media channels, including TV, online news and social media. The system described in this paper enables all of this by combining a media stream processing architecture with cross-lingual and cross-modal semantic annotation, search and recommendation. All those components were developed in the xLiMe project.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Web Semantics: Science, Services and Agents on the World Wide Web - Volumes 46â47, October 2017, Pages 20-30
Journal: Web Semantics: Science, Services and Agents on the World Wide Web - Volumes 46â47, October 2017, Pages 20-30
نویسندگان
Lei Zhang, Andreas Thalhammer, Achim Rettinger, Michael Färber, Aditya Mogadala, Ronald Denaux,