TY - GEN
T1 - A demonstration of Sya
T2 - 44th ACM SIGMOD International Conference on Management of Data, SIGMOD 2018
AU - Sabek, Ibrahim
AU - Musleh, Mashaal
AU - Mokbel, Mohamed F
PY - 2018/5/27
Y1 - 2018/5/27
N2 - This demo presents Sya; the first full-fledged spatial probabilistic knowledge base construction system. Sya is a comprehensive extension to the DeepDive [18] system that enables exploiting the spatial relationships between extracted relations during the knowledge base construction process, and hence results in a better knowledge base output. Sya runs existing DeepDive programs as is, yet, it extracts more accurate relations than DeepDive when dealing with input data that have spatial attributes. Sya employs a simple spatial high-level language, a rule-based spatial SQL query engine, a spatially-indexed probabilistic graphical model, and an adapted spatial statistical inference technique to infer the factual scores of relations. We demonstrate a system prototype of Sya, showing a case study of constructing a crime knowledge base. The demonstration shows to the audience the internal steps of building the knowledge base, as well as a comparison with the output of DeepDive.
AB - This demo presents Sya; the first full-fledged spatial probabilistic knowledge base construction system. Sya is a comprehensive extension to the DeepDive [18] system that enables exploiting the spatial relationships between extracted relations during the knowledge base construction process, and hence results in a better knowledge base output. Sya runs existing DeepDive programs as is, yet, it extracts more accurate relations than DeepDive when dealing with input data that have spatial attributes. Sya employs a simple spatial high-level language, a rule-based spatial SQL query engine, a spatially-indexed probabilistic graphical model, and an adapted spatial statistical inference technique to infer the factual scores of relations. We demonstrate a system prototype of Sya, showing a case study of constructing a crime knowledge base. The demonstration shows to the audience the internal steps of building the knowledge base, as well as a comparison with the output of DeepDive.
KW - Knowledge base construction
KW - Spatial knowledge bases
UR - http://www.scopus.com/inward/record.url?scp=85048761779&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048761779&partnerID=8YFLogxK
U2 - 10.1145/3183713.3193558
DO - 10.1145/3183713.3193558
M3 - Conference contribution
AN - SCOPUS:85048761779
T3 - Proceedings of the ACM SIGMOD International Conference on Management of Data
SP - 1689
EP - 1692
BT - SIGMOD 2018 - Proceedings of the 2018 International Conference on Management of Data
A2 - Das, Gautam
A2 - Jermaine, Christopher
A2 - Eldawy, Ahmed
A2 - Bernstein, Philip
PB - Association for Computing Machinery
Y2 - 10 June 2018 through 15 June 2018
ER -
