Publication statistics

Pub. period:2004-2008
Pub. count:5
Number of co-authors:14



Co-authors

Number of publications with 3 favourite co-authors:

Yue Pan:3
Chen Wang:2
Xiaowei Yuan:1

 

 

Productive colleagues

Li Ma's 3 most productive colleagues in number of publications:

Lei Zhang:50
Li Zhang:25
Zhong Su:12
 
 
 

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Li Ma

 

Publications by Li Ma (bibliography)

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2008
 
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Yan, Ying, Wang, Chen, Zhou, Aoying, Qian, Weining, Ma, Li and Pan, Yue (2008): Efficiently querying rdf data in triple stores. In: Proceedings of the 2008 International Conference on the World Wide Web 2008. pp. 1053-1054. Available online

Efficiently querying RDF data is being an important factor in applying Semantic Web technologies to real-world applications. In this context, many efforts have been made to store and query RDF data in relational database using particular schemas. In this paper, we propose a new scheme to store, index, and query RDF data in triple stores. Graph feature of RDF data is taken into considerations which might help reduce the join costs on the vertical database structure. We would partition RDF triples into overlapped groups, store them in a triple table with one more column of group identity, and build up a signature tree to index them. Based on this infrastructure, a complex RDF query is decomposed into multiple pieces of sub-queries which could be easily filtered into some RDF groups using signature tree index, and finally is evaluated with a composed and optimized SQL with specific constraints. We compare the performance of our method with prior art on typical queries over a large scaled LUBM and UOBM benchmark data (more than 10 million triples). For some extreme cases, they can promote 3 to 4 orders of magnitude.

© All rights reserved Yan et al. and/or ACM Press

2007
 
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Brunner, Jean-Sbastien, Ma, Li, Wang, Chen, Zhang, Lei, Wolfson, Daniel C., Pan, Yue and Srinivas, Kavitha (2007): Explorations in the use of semantic web technologies for product information management. In: Proceedings of the 2007 International Conference on the World Wide Web 2007. pp. 747-756. Available online

Master data refers to core business entities a company uses repeatedly across many business processes and systems (such as lists or hierarchies of customers, suppliers, accounts, products, or organizational units). Product information is the most important kind of master data and product information management (PIM) is becoming critical for modern enterprises because it provides a rich business context for various applications. Existing PIM systems are less flexible and scalable for on-demand business, as well as too weak to completely capture and use the semantics of master data. This paper explores how to use semantic web technologies to enhance a collaborative PIM system by simplifying modeling and representation while preserving enough dynamic flexibility. Furthermore, we build a semantic PIM system using one of the state-of-art ontology repositories and summarize the challenges we encountered based on our experimental results, especially on performance and scalability. We believe that our study and experiences are valuable for both semantic web community and master data management community.

© All rights reserved Brunner et al. and/or International World Wide Web Conference Committee

 
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Ma, Li and Yuan, Xiaowei (2007): UX Office. A New Software Application for User Experience Services. In: Jacko, Julie A. (ed.) HCI International 2007 - 12th International Conference - Part IV 2007. pp. 649-653. Available online

2005
 
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Ma, Li and Qi, Shanhong (2005): Customer satisfaction and service system based on Motive - Hygiene theory. In: Li, Qi and Liang, Ting-Peng (eds.) Proceedings of the 7th International Conference on Electronic Commerce - ICEC 2005 August 15-17, 2005, Xian, China. pp. 860-863. Available online

2004
 
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Ma, Li, Su, Zhong, Pan, Yue, Zhang, Li and Liu, Tao (2004): RStar: an RDF storage and query system for enterprise resource management. In: Grossman, David A., Gravano, Luis, Zhai, Chengxiang, Herzog, Otthein and Evans, David A. (eds.) Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management November 8-13, 2004, Washington, DC, USA. pp. 484-491. Available online

 
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