|
|
|
|
|
Songlin Tian, Ying Yang and Lei Yang
Business intelligence (BI), as a system for business data integration, processing, and analysis, is receiving increasing attention from enterprises. Data visualization is an important feature of BI, which allows users to visually observe the distribution...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuting Chen, Pengjun Zhao, Yi Lin, Yushi Sun, Rui Chen, Ling Yu and Yu Liu
Precise identification of spatial unit functional features in the city is a pre-condition for urban planning and policy-making. However, inferring unknown attributes of urban spatial units from data mining of spatial interaction remains a challenge in ge...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nasser Lotfi and Mazyar Ghadiri Nejad
Multi-objective task graph scheduling is a well-known NP-hard problem that plays a significant role in heterogeneous distributed systems. The solution to the problem is expected to optimize all scheduling objectives. Pretty large state-of-the-art algorit...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ignacio J. Tripodi, Lena Schmidt, Brian E. Howard, Deepak Mav and Ruchir Shah
Molecular biology-focused knowledge graphs (KGs) are directed graphs that integrate information from heterogeneous sources of biological and biomedical data, such as ontologies and public databases. They provide a holistic view of biology, chemistry, and...
ver más
|
|
|
|
|
|
|
|
|
|
|
Noura Maghawry, Samy Ghoniemy, Eman Shaaban and Karim Emara
Semantic data integration provides the ability to interrelate and analyze information from multiple heterogeneous resources. With the growing complexity of medical ontologies and the big data generated from different resources, there is a need for integr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nan Bai, Pirouz Nourian, Renqian Luo and Ana Pereira Roders
Values (why to conserve) and Attributes (what to conserve) are essential concepts of cultural heritage. Recent studies have been using social media to map values and attributes conveyed by the public to cultural heritage. However, it is rare to connect h...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mayank Kejriwal
Entity Resolution (ER) is the problem of identifying co-referent entity pairs across datasets, including knowledge graphs (KGs). ER is an important prerequisite in many applied KG search and analytics pipelines, with a typical workflow comprising two ste...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuli Wang, Xuewen Li, Xiaomeng Kou, Jin Zhang, Shaojie Zheng, Jinlong Wang and Jibing Gong
Predicting users? next behavior through learning users? preferences according to the users? historical behaviors is known as sequential recommendation. In this task, learning sequence representation by modeling the pairwise relationship between items in ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lan Huang, Yuanwei Zhao, Bo Wang, Dongxu Zhang, Rui Zhang, Subhashis Das, Simone Bocca and Fausto Giunchiglia
Knowledge graph-based data integration is a practical methodology for heterogeneous legacy database-integrated service construction. However, it is neither efficient nor economical to build a new cross-domain knowledge graph on top of the schemas of each...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiseong Son, Chul-Su Lim, Hyoung-Seop Shim and Ji-Sun Kang
Despite the development of various technologies and systems using artificial intelligence (AI) to solve problems related to disasters, difficult challenges are still being encountered. Data are the foundation to solving diverse disaster problems using AI...
ver más
|
|
|
|
|
|