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From:
"Ilaria.Tiddi" <[log in to unmask]>
Reply To:
Ilaria.Tiddi
Date:
Mon, 30 Oct 2017 01:01:46 +0000
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K-CAP2017
The 9th International Conference on Knowledge Capture
Austin, Texas, December 4-6, 2017
http://k-cap2017.org/
Twitter : @KCAP2017

== IMPORTANT DATES ==

Hotel booking special rates : November 10, 2017
Registrations open until : November 26, 2017
Workshops/Tutorials: December 4, 2017
Main conference: December 5-6, 2017

== K-CAP2017 AT GLANCE ==

Invited Speakers: Kenneth D. Forbus (Northwestern University),  Juan Sequeda (Capsenta Labs)

Accepted papers: http://k-cap2017.org/accepted-papers/

Workshops and Tutorials
W1 – 1st International Workshop on Quality Engineering Meets Knowledge Graph (QEKGraph)
W2 – 2nd International Workshop on Capturing Scientific Knowledge
W3 – Machine Reading
T1 – Semantic data mining for knowledge acquisition
T2 – DOing REusable MUSical data (DOREMUS)
T3 – Hybrid techniques for knowledge-based NLP: Knowledge graphs meet machine learning and all their friends

== TOPICS ==

The 9th International Conference on Knowledge Capture aims at attracting researchers from diverse areas of Artificial Intelligence, including knowledge representation, knowledge acquisition, intelligent user interfaces, problem-solving and reasoning, planning, agents, text extraction, and machine learning, information enrichment and visualization, as well as researchers interested in cyber-infrastructures to foster the publication, retrieval, reuse, and integration of data.

Today these data come from an increasingly heterogeneous set of resources that differ with regards to their domain, media format, quality, coverage, viewpoint, bias, and so on.  More than the sheer amount of these data, their heterogeneity allows us to arrive at better models and answer complex questions that cannot be addressed in isolation but require the interaction of different scientific fields or perspectives.

In most cases, knowledge is not captured as a means to an end but to, for instance, enable better user interfaces, improve retrieval beyond simple keyword search, and so forth. For K-CAP 2017, we would like to focus on the creation, enrichment, querying, and maintenance of knowledge graphs (not necessarily limited to the Semantic Web technology stack) out of heterogeneous data sources.

Special theme of the conference this year will be on **Knowledge Graphs from Heterogeneous Data**.

== VENUE AND REGISTRATION ==

K-CAP2017 will be held at the Hilton Garden Inn Austin Downtown/Convention Center, in Austin, Texas.

International Airports near the Convention Center are the Austin-Bergstrom International Airport (12 miles), the San Antonio International Airport (74 miles), the Houston George Bush Intercontinental Airport (167 miles) and the Dallas/Fort Worth International Airport (215 miles).

Special room rates ($169/night + 15.7% tax for single and double usage) have been arranged for K-CAP2017. To book accommodation at the venue hotel, please use http://hiltongardeninn.hilton.com/en/gi/groups/personalized/A/AUSGIGI-KCAP17-20171203/index.jhtml. The cut-off date for reservations is November 10th.

Should you have any additional questions or requests for your guestroom, please feel free to reach out the hotel at the following numbers:

Jonarose, Group Rooms Coordinator: (512) 457-7928 (M – F / 9AM to 5PM)
David, Sales Manager: (512) 457-7926 (M – F / 8AM to 5PM)
Central Reservations: (877) 782-9444 (24/7)

Registration fees range from 450$ for students to 625/675$ for ACM/non-ACM SIG members, inclusive of coffee break and lunch costs, as well as special events held during the conference. Check http://k-cap2017.org/registration/ for further info, visa included.

== ORGANIZING COMMITTEE ==

* Oscar Corcho, Universidad Politecnica de Madrid, Spain (General chair)
* Krzysztof Janowicz, University of California, U.S.A. (Program chair)
* Giuseppe Rizzo, Istituto Superiore Mario Boella, Italy (Workshops/Tutorials chair)
* Ilaria Tiddi, The Open University, United Kingdom (Publicity chair)
* Daniel Garijo, University of Southern California, U.S.A. (Treasurer)



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