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- short-paperOctober 2020
Tailoring Entity Matching for Industrial Settings
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3217–3220https://doi.org/10.1145/3340531.3418514Entity matching has received significant attention from the research community over many years. Despite some limited success, most state-of-the-art methods see no widespread usage in industry.
In this paper, we present the author's PhD research, which ...
- short-paperOctober 2020
Neural (Knowledge Graph) Question Answering Using Synthetic Training Data
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3245–3248https://doi.org/10.1145/3340531.3418505Deep learning requires volume, quality, and variety of training data. In neural question answering, a trade-off between quality and volume comes from the need to either manually curate or construct realistic question answering data, which is costly, or ...
- research-articleOctober 2020
RotaryDS: Fast Storage for Massive Data Streams via a Rotation Storage Model
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3305–3308https://doi.org/10.1145/3340531.3417465In this paper, we propose RotaryDS to provide fast storage service for massive data streams. RotaryDS uses a rotation storage model, which employs distributed data buckets to accept highly-arriving data streams. All data buckets have a state, i.e., they ...
- research-articleOctober 2020
Optimal End-Biased Histograms for Hierarchical Data
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3261–3264https://doi.org/10.1145/3340531.3417449We focus on summarizing hierarchical data by adapting the well-known notion of end biased-histograms to trees. Over relational data, such histograms have been well-studied, as they have a good balance between accuracy and space requirements. Extending ...
- short-paperOctober 2020
WebLens: Towards Interactive Large-scale Structured Data Profiling
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3425–3428https://doi.org/10.1145/3340531.3417443Data profiling is a "set of statistical data analysis activities and processes to determine properties of a given dataset". Historically,most of the data profiling tasks were aimed at data. At scale, when a dataset has millions of tables, their meta-...
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- short-paperOctober 2020
UWKGM: A Modular Platform for Knowledge Graph Management
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3421–3424https://doi.org/10.1145/3340531.3417441A knowledge graph becomes a central data hub in the enterprise and the research communities. Nevertheless, the development of knowledge graphs is challenging due to the insufficient functionalities of knowledge graph management platforms. In this paper, ...
- short-paperOctober 2020
M-Cypher: A GQL Framework Supporting Motifs
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3433–3436https://doi.org/10.1145/3340531.3417440Graph databases witness the rise of Graph Query Language (GQL) in recent years, which enables non-programmers to express a graph query. However, the current solution does not support motif-related queries on knowledge graphs, which are proven important ...
- short-paperOctober 2020
Sample Driven Data Mapping for Linked Data and Web APIs
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3481–3484https://doi.org/10.1145/3340531.3417438In order to create the most comprehensive RDF Knowledge Base possible, data integration is essential. Many different data sources are used to extend a given dataset or to correct errors in the data. Nowadays, Web APIs (instead of data dumps) are common ...
- short-paperOctober 2020
Computing and Illustrating Query Rewritings on Path Views with Binding Patterns
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3449–3452https://doi.org/10.1145/3340531.3417431In this system demonstration, we study views with binding patterns, which are a formalization of REST Web services. Such views are database queries that can be evaluated using the service, but only if values for the input variables are provided. We ...
- short-paperOctober 2020
PandaSQL: Parallel Randomized Triangle Enumeration with SQL Queries
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3377–3380https://doi.org/10.1145/3340531.3417429Triangles are an important pattern in large-scale graph analysis for their practical use in many real-life applications. However, with the expansion of networks, maintaining a balanced computational load is challenging especially for problems like ...
- short-paperOctober 2020
STREAMER: A Powerful Framework for Continuous Learning in Data Streams
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3385–3388https://doi.org/10.1145/3340531.3417427With the proliferation of continuous data generation, data stream processing has become a key topic in research. As a consequence, the need for dedicated tools to apply continuous learning in streams emerges. This paper presents STREAMER, a flexible, ...
- short-paperOctober 2020
Semantic Search over Structured Data
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3381–3384https://doi.org/10.1145/3340531.3417426Searching through large structured data is a crucial task in enterprise as well as online search. Existing keyword-based search methods were mostly designed for web document search, and support a limited variety of query types suitable for structured ...
- short-paperOctober 2020
April: An Automatic Graph Data Management System Based on Reinforcement Learning
- Hongzhi Wang,
- Zhixin Qi,
- Lei Zheng,
- Yun Feng,
- Junfei Ouyang,
- Haoqi Zhang,
- Xiangxi Zhang,
- Ziming Shen,
- Shirong Liu
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3465–3468https://doi.org/10.1145/3340531.3417422The great amount and complex structure of graph data bring a big challenge to graph data management. However, traditional management approaches cannot tackle the challenge. Fortunately, reinforcement learning provides a new approach to solve this ...
- short-paperOctober 2020
IDEAL: IDEntifying the User's IdeAL Tuple via Sorting in the Database
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3373–3376https://doi.org/10.1145/3340531.3417420Beyond top-k and skyline queries, in the last decade regret minimization queries have played an important role in the database community to solve multi-criteria decision making problems. To reduce the user's regret, interaction is proved to be an ...
- short-paperOctober 2020
InterNet: Multistep Traffic Forecasting by Interacting Spatial and Temporal Features
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3477–3480https://doi.org/10.1145/3340531.3417411Traffic forecasting on the entire road network is challenging due to the non-linear temporal dynamics and complex spatial correlations. Multi-step traffic forecasting further increases the difficulty because of the accumulated prediction errors. ...
- keynoteOctober 2020
Accelerating Discovery Science with an Internet of FAIR Data and Services
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Page 3https://doi.org/10.1145/3340531.3417407Biomedicine has always been a fertile and challenging domain for computational discovery science. Indeed, the existence of millions of scientific articles, thousands of databases, and hundreds of ontologies offer exciting opportunities to mine our ...
- research-articleOctober 2020
Profiling Entity Matching Benchmark Tasks
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3101–3108https://doi.org/10.1145/3340531.3412781Entity matching is a central task in data integration which has been researched for decades. Over this time, a wide range of benchmark tasks for evaluating entity matching methods has been developed. This resource paper systematically complements, ...
- research-articleOctober 2020
BioKG: A Knowledge Graph for Relational Learning On Biological Data
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3173–3180https://doi.org/10.1145/3340531.3412776Knowledge graphs became a popular means for modeling complex biological systems where they model the interactions between biological entities and their effects on the biological system. They also provide support for relational learning models which are ...
- research-articleOctober 2020
ContentWise Impressions: An Industrial Dataset with Impressions Included
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3093–3100https://doi.org/10.1145/3340531.3412774In this article, we introduce the \dataset dataset, a collection of implicit interactions and impressions of movies and TV series from an Over-The-Top media service, which delivers its media contents over the Internet. The dataset is distinguished from ...
- research-articleOctober 2020
The Enslaved Dataset: A Real-world Complex Ontology Alignment Benchmark using Wikibase
- Lu Zhou,
- Cogan Shimizu,
- Pascal Hitzler,
- Alicia M. Sheill,
- Seila Gonzalez Estrecha,
- Catherine Foley,
- Duncan Tarr,
- Dean Rehberger
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementOctober 2020, Pages 3197–3204https://doi.org/10.1145/3340531.3412768Ontology alignment has taken a critical place for helping heterogeneous resources to interoperate. It has been studied for over a decade, and over that time many alignment systems and methods have been developed by researchers to find simple 1:1 ...