Search Results - "Dong, Luna Xin"
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1
Mining Summaries for Knowledge Graph Search
Published in IEEE transactions on knowledge and data engineering (01-10-2018)“…Querying heterogeneous and large-scale knowledge graphs is expensive. This paper studies a graph summarization framework to facilitate knowledge graph search…”
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Editorial: Special Issue for Selected Papers of VLDB 2021
Published in The VLDB journal (01-11-2023)Get full text
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Scaling up copy detection
Published in 2015 IEEE 31st International Conference on Data Engineering (01-04-2015)“…Recent research shows that copying is prevalent for Deep-Web data and considering copying can significantly improve truth finding from conflicting values…”
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Conference Proceeding -
4
Detecting Clones, Copying and Reuse on the Web
Published in 2012 IEEE 28th International Conference on Data Engineering (01-04-2012)“…The Web has enabled the availability of a vast amount of useful information in recent years. However, the web technologies that have enabled sources to share…”
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Conference Proceeding -
5
Linking temporal records
Published in Frontiers of Computer Science (01-06-2012)“…Many data sets contain temporal records which span a long period of time; each record is associated with a time stamp and describes some aspects of a…”
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OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision
Published 29-04-2022“…Automatic extraction of product attributes from their textual descriptions is essential for online shopper experience. One inherent challenge of this task is…”
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TCN: Table Convolutional Network for Web Table Interpretation
Published 17-02-2021“…Information extraction from semi-structured webpages provides valuable long-tailed facts for augmenting knowledge graph. Relational Web tables are a critical…”
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Building a Broad Knowledge Graph for Products
Published in 2019 IEEE 35th International Conference on Data Engineering (ICDE) (01-04-2019)Get full text
Conference Proceeding -
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PAM: Understanding Product Images in Cross Product Category Attribute Extraction
Published 08-06-2021“…Understanding product attributes plays an important role in improving online shopping experience for customers and serves as an integral part for constructing…”
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MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals
Published 22-06-2020“…Given multiple input signals, how can we infer node importance in a knowledge graph (KG)? Node importance estimation is a crucial and challenging task that can…”
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Big data integration
Published in 2013 IEEE 29th International Conference on Data Engineering (ICDE) (01-04-2013)“…The Big Data era is upon us: data is being generated, collected and analyzed at an unprecedented scale, and data-driven decision making is sweeping through all…”
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Conference Proceeding -
12
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision
Published 18-06-2020“…Taxonomies have found wide applications in various domains, especially online for item categorization, browsing, and search. Despite the prevalent use of…”
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Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
Published 16-06-2019“…How can we estimate the importance of nodes in a knowledge graph (KG)? A KG is a multi-relational graph that has proven valuable for many tasks including…”
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Data integration with uncertainty
Published in The VLDB journal (01-04-2009)“…This paper reports our first set of results on managing uncertainty in data integration. We posit that data-integration systems need to handle uncertainty at…”
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15
AutoBlock: A Hands-off Blocking Framework for Entity Matching
Published 07-12-2019“…Entity matching seeks to identify data records over one or multiple data sources that refer to the same real-world entity. Virtually every entity matching task…”
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OpenTag: Open Attribute Value Extraction from Product Profiles [Deep Learning, Active Learning, Named Entity Recognition]
Published 06-10-2018“…Extraction of missing attribute values is to find values describing an attribute of interest from a free text input. Most past related work on extraction of…”
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AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types
Published 24-06-2020“…Can one build a knowledge graph (KG) for all products in the world? Knowledge graphs have firmly established themselves as valuable sources of information for…”
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TimeMachine: Timeline Generation for Knowledge-Base Entities
Published 08-06-2015“…We present a method called TIMEMACHINE to generate a timeline of events and relations for entities in a knowledge base. For example for an actor, such a…”
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MIDAS: Finding the Right Web Sources to Fill Knowledge Gaps
Published in 2019 IEEE 35th International Conference on Data Engineering (ICDE) (01-04-2019)“…Knowledge bases, massive collections of facts (RDF triples) on diverse topics, support vital modern applications. However, existing knowledge bases contain…”
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Conference Proceeding -
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Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact
Published 27-08-2023“…PVLDB 2023 Knowledge Graphs (KGs) have been used to support a wide range of applications, from web search to personal assistant. In this paper, we describe…”
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