24小时热门版块排行榜

>论坛更新日志 (3798)
>导师招生 (102)
>基金申请 (99)
>文献求助 (90)
>硕博家园 (73)
>博后之家 (48)
>虫友互识 (38)
>考博 (35)
>找工作 (33)
>论文投稿 (31)
>论文道贺祈福 (27)
>休闲灌水 (27)
>公派出国 (23)
>教师之家 (22)
>考研 (20)
>有机交流 (14)

返回列表

当前只显示满足指定条件的回帖，点击这里查看本话题的所有回帖

cycchao

新虫 (初入文坛)

应助: 0 (幼儿园)
金币: 149.2
帖子: 25
在线: 84.3小时
虫号: 3008218

[交流] 【2016-1-6】[ICDE2016 workshop]关键词检索和数据探索国际会议征稿启事

会议城市:

赫尔辛基

是否Ei/ISTP收录:

Ei/ISTP双收录

截稿日期:

2016年1月1日

本次会议是数据库领域的 ICDE 2016 的一个workshop，主要侧重在关键词检索和数据探索技术，欢迎大家投稿，并且到芬兰赫尔辛基参加本次会议。

会议的详细信息如下：

Call for Papers

The Fourth International Workshop on Keyword Search and Data
Exploration on Structured Data (KEYS 2016)

Co-located with 32nd IEEE International Conference on Data Engineering
(ICDE) 2016, Helsinki, Finland

Workshop website: https://keys2016.cs.helsinki.fi/

Call for Papers
---------------------

Information search has a close relationship with our daily lives, for
example, the wide use of Web search engines to search for various data
and information, across medias such as textual documents, images, and
video. Vast amount of data has been accumulated on the Web and in the
data repositories of enterprises, in the form of relational databases,
XML, JSON and structured data embedded in text documents. Accessing
these data in a traditional way requires users to have a good
knowledge of structured query languages, and an accurate understanding
of data schemas. In contrast, data exploration, including keyword
search, querying by example and visualization enable users to access
to heterogeneous representation of data in a natural and convenient
manner, hence greatly improved the usability of the underlying data;
this is one of the reasons why both database and information retrieval
communities have a growing research interest in this area in recent
years. In fact, keyword search and data exploration on structured data
presents both challenges (e.g., the queries are inherently ambiguous
and complex) and opportunities (e.g., judicious use of the
meta-information can enhance the search result quality).

Apart from the structured and semi-structured data as represented in
the form of relational databases and XML documents, we have witnessed
a burgeoning interest in data exploration on new forms of data, for
example, JSON collections, spatial and multimedia data. In addition,
large amount of social media data has been created every minute on the
Internet, including blogs, user comments, and tweets. We can exploit
the structures within and across the social media documents to
improves search quality and detect many useful information and
relations that are hard to be found by conventional approaches using
only the unstructured characteristics.

The aim of this workshop is to provide a forum for both academic
researchers and industrial practitioners to discuss opportunities and
challenges in keyword search and data exploration for structured data,
and to present the key issues and novel techniques in this area. In
this workshop, we invite researchers from academia and industry
working in relational databases, data warehouses, NoSQL databases,
information extraction, natural language processing, probabilistic
databases, social networks, social media data, spatial data, and
related areas to submit their original papers. The main topics
include, but not limited to:

* Keyword search and data exploration on relational databases and data
warehouses
* Keyword search and data exploration on XML and RDF data
* Keyword search and data exploration on spatial data
* Keyword search and data exploration on social media data
* Keyword search and data exploration on structured data extracted
from text documents
* Keyword on other data structures (e.g. workflows, annotated images)
* Keyword search and data exploration on data streams and continuous
monitoring systems
* Handling data uncertainty in keyword search and data exploration
* Results ranking, evaluation and snippet generation on keyword search
and data exploration
* Data visualization on structured data
* Query by example on structured data
* User preferences and feedback

Submission Guidelines
---------------------

A submitted paper should be of one of the following type:

1. Regular Research Paper: The paper will report original research
results with sound evaluation. It should be at most 8 pages.

2. Demo Paper: The paper will present novel keyword search and data
exploration systems. System demonstrations will be encouraged in this
category. The paper should be at most 6 pages.

3. Position Paper: The paper will present novel research directions
for keyword search and data exploration. It should be at most 4 pages.

4. Short Paper: The paper will present a survey or an on-going work.
It will clearly state the problem to be addressed and an outline of
the methodology that the authors plan to follow. It should be at most
4 pages.

All submissions must be prepared in the IEEE camera-ready format.
Please follow the submission guidelines for the ICDE 2016 Conference
(https://icde2016.fi/). All accepted submissions will be published in
the ICDE proceedings and will also become publicly available through
the IEEE Xplore.

Important Dates
---------------
Paper Submission Deadline:    Jan 4, 2016
Author Notification: Jan 30, 2016
Final Camera-ready Copy Deadline:    Feb 12, 2016
Workshop:    May 20, 2016

Workshop Organizers:
---------------
Yi Chen (New Jersey's Science & Technology University, USA)
Jiaheng Lu (University of Helsinki, Finland)

Submission Instructions
-----------------------
Only electronic submissions in PDF format will be considered. Please
upload your paper through the CMT conference system￡o
https://cmt3.research.microsoft.com/KEYS2016

回复此楼