6 citations · 22 across the 19 of their papers we have counts for
20 papers
Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation
Yaokun Liu, Xiaowang Zhang, Minghui Zou +1
Although multi-interest recommenders have achieved significant progress in the matching stage, our research reveals that existing models tend to exhibit an under-clustered item emb…
Function-words Enhanced Attention Networks for Few-Shot Inverse Relation Classification
Chunliu Dou, Shaojuan Wu, Xiaowang Zhang +2
The relation classification is to identify semantic relations between two entities in a given text. While existing models perform well for classifying inverse relations with large…
Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension
Linjuan Wu, Shaojuan Wu, Xiaowang Zhang +4
Multilingual pre-trained models are able to zero-shot transfer knowledge from rich-resource to low-resource languages in machine reading comprehension (MRC). However, inherent ling…
Modeling Global Semantics for Question Answering over Knowledge Bases
Peiyun Wu, Yunjie Wu, Linjuan Wu +2
Semantic parsing, as an important approach to question answering over knowledge bases (KBQA), transforms a question into the complete query graph for further generating the correct…
gSMat: A Scalable Sparse Matrix-based Join for SPARQL Query Processing
Xiaowang Zhang, Mingyue Zhang, Peng Peng +3
Resource Description Framework (RDF) has been widely used to represent information on the web, while SPARQL is a standard query language to manipulate RDF data. Given a SPARQL quer…
TrQuery: An Embedding-based Framework for Recommanding SPARQL Queries
Lijing Zhang, Xiaowang Zhang, Zhiyong Feng
In this paper, we present an embedding-based framework (TrQuery) for recommending solutions of a SPARQL query, including approximate solutions when exact querying solutions are not…
MapSQ: A MapReduce-based Framework for SPARQL Queries on GPU
Jiaying Feng, Xiaowang Zhang, Zhiyong Feng
In this paper, we present a MapReduce-based framework for evaluating SPARQL queries on GPU (named MapSQ) to large-scale RDF datesets efficiently by applying both high performance.…
hMDAP: A Hybrid Framework for Multi-paradigm Data Analytical Processing on Spark
Xiaowang Zhang, Jiahui Zhang, Zhiyong Feng
We propose hMDAP, a hybrid framework for large-scale data analytical processing on Spark, to support multi-paradigm process (incl. OLAP, machine learning, and graph analysis etc.)…
PRSP: A Plugin-based Framework for RDF Stream Processing
Qiong Li, Xiaowang Zhang, Zhiyong Feng
In this paper, we propose a plugin-based framework for RDF stream processing named PRSP. Within this framework, we can employ SPARQL query engines to process C-SPARQL queries with…
Path discovery by Querying the federation of Relational Database and RDF Graph
Xiaowang Zhang, Jiahui Zhang, Muhammad Qasim Yasin +2
The class of queries for detecting path is an important as those can extract implicit binary relations over the nodes of input graphs. Most of the path querying languages used by t…
PIWD: A Plugin-based Framework for Well-Designed SPARQL
Xiaowang Zhang, Zhenyu Song, Zhiyong Feng +1
In the real world datasets (e.g.,DBpedia query log), queries built on well-designed patterns containing only AND and OPT operators (for short, WDAO-patterns) account for a large pr…
RORS: Enhanced Rule-based OWL Reasoning on Spark
Zhihui Liu, Zhiyong Feng, Xiaowang Zhang +2
The rule-based OWL reasoning is to compute the deductive closure of an ontology by applying RDF/RDFS and OWL entailment rules. The performance of the rule-based OWL reasoning is of…
Efficient Approximation of Well-Designed SPARQL Queries
Zhenyu Song, Zhiyong Feng, Xiaowang Zhang +2
Query response time often influences user experience in the real world. However, it possibly takes more time to answer a query with its all exact solutions, especially when it cont…
On the Statistical Analysis of Practical SPARQL Queries
Xingwang Han, Zhiyong Feng, Xiaowang Zhang +3
In this paper, we analyze some basic features of SPARQL queries coming from our practical world in a statistical way. These features include three statistic features such as the oc…
Context-Free Path Queries on RDF Graphs
Xiaowang Zhang, Zhiyong Feng, Xin Wang +2
Navigational graph queries are an important class of queries that canextract implicit binary relations over the nodes of input graphs. Most of the navigational query languages used…
Undecidability of satisfiability in the algebra of finite binary relations with union, composition, and difference
Tony Tan, Jan Van den Bussche, Xiaowang Zhang
We consider expressions built up from binary relation names using the operators union, composition, and set difference. We show that it is undecidable to test whether a given such…
On the satisfiability problem for SPARQL patterns
Xiaowang Zhang, Jan Van den Bussche, François Picalausa
The satisfiability problem for SPARQL patterns is undecidable in general, since the expressive power of SPARQL 1.0 is comparable with that of the relational algebra. The goal of th…
A Paraconsistent Tableau Algorithm Based on Sign Transformation in Semantic Web
Xiaowang Zhang, Guohui Xiao, Zuoquan Lin
In an open, constantly changing and collaborative environment like the forthcoming Semantic Web, it is reasonable to expect that knowledge sources will contain noise and inaccuraci…
A Forgetting-based Approach to Merging Knowledge Bases
Dai Xu, Xiaowang Zhang, Zuoquan Lin
This paper presents a novel approach based on variable forgetting, which is a useful tool in resolving contradictory by filtering some given variables, to merging multiple knowledg…
A Distance-based Paraconsistent Semantics for DL-Lite
Xiaowang Zhang, Kewen Wang, Zhe Wang +2
DL-Lite is an important family of description logics. Recently, there is an increasing interest in handling inconsistency in DL-Lite as the constraint imposed by a TBox can be easi…