Publication statistics

Pub. period:2003-2010
Pub. count:11
Number of co-authors:31


Number of publications with 3 favourite co-authors:

Andriy Parafiynyk:
Sandor Dornbush:
Cynthia Sims Parr:



Productive colleagues

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

Amit P. Sheth:27
Timothy W. Finin:24
Lina Zhou:22

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Li Ding


Publications by Li Ding (bibliography)

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Ding, Li, DiFranzo, Dominic, Graves, Alvaro, Michaelis, James R., Li, Xian, McGuinness, Deborah L. and Hendler, James A. (2010): TWC data-gov corpus: incrementally generating linked government data from In: Proceedings of the 2010 International Conference on the World Wide Web 2010. pp. 1383-1386.

The Open Government Directive is making US government data available via websites such as for public access. In this paper, we present a Semantic Web based approach that incrementally generates Linked Government Data (LGD) for the US government. In focusing on the trade-off between high quality LGD generation (requiring non-trivial human expert input) and massive LGD generation (requiring low human processing cost), our work is highlighted by the following features: (i) supporting low-cost and extensible LGD publishing for massive government data; (ii) using Social Semantic Web (Web3.0) technologies to incrementally enhance published LGD via crowdsourcing, and (iii) facilitating mash-ups by declaratively reusing cross-dataset mappings which usually are hard-coded in applications.

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Tao, Jiao, Ding, Li and McGuinness, Deborah L. (2009): Instance Data Evaluation for Semantic Web-Based Knowledge Management Systems. In: HICSS 2009 - 42st Hawaii International International Conference on Systems Science 5-8 January, 2009, Waikoloa, Big Island, HI, USA. pp. 1-10.

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Ding, Li, Tao, Jiao and McGuinness, Deborah L. (2008): An initial investigation on evaluating semantic web instance data. In: Proceedings of the 2008 International Conference on the World Wide Web 2008. pp. 1179-1180.

Many emerging semantic web applications include ontologies from one set of authors and instance data from another (often much larger) set of authors. Often ontologies are reused and instance data is integrated in manners unanticipated by their authors. Not surprisingly, many instance data rich applications encounter instance data that is not compatible with the expectations of the original ontology author(s). This line of work focuses on issues related to semantic expectation mismatches in instance data. Our initial results include a customizable and extensible service-oriented evaluation architecture, and a domain implementation called PmlValidator, which checks instance data using the corresponding ontologies and additional style requirements.

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

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Aleman-Meza, Boanerges, Nagarajan, Meenakshi, Ding, Li, Sheth, Amit, Arpinar, I. Budak, Joshi, Anupam and Finin, Tim (2008): Scalable semantic analytics on social networks for addressing the problem of conflict of interest detection. In ACM Transactions on the Web, 2 (1) p. 7.

In this article, we demonstrate the applicability of semantic techniques for detection of Conflict of Interest (COI). We explain the common challenges involved in building scalable Semantic Web applications, in particular those addressing connecting-the-dots problems. We describe in detail the challenges involved in two important aspects on building Semantic Web applications, namely, data acquisition and entity disambiguation (or reference reconciliation). We extend upon our previous work where we integrated the collaborative network of a subset of DBLP researchers with persons in a Friend-of-a-Friend social network (FOAF). Our method finds the connections between people, measures collaboration strength, and includes heuristics that use friendship/affiliation information to provide an estimate of potential COI in a peer-review scenario. Evaluations are presented by measuring what could have been the COI between accepted papers in various conference tracks and their respective program committee members. The experimental results demonstrate that scalability can be achieved by using a dataset of over 3 million entities (all bibliographic data from DBLP and a large collection of FOAF documents).

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Aleman-Meza, Boanerges, Nagarajan, Meenakshi, Ramakrishnan, Cartic, Ding, Li, Kolari, Pranam, Sheth, Amit P., Arpinar, I. Budak, Joshi, Anupam and Finin, Tim (2006): Semantic analytics on social networks: experiences in addressing the problem of conflict of interest detection. In: Proceedings of the 2006 International Conference on the World Wide Web 2006. pp. 407-416.

In this paper, we describe a Semantic Web application that detects Conflict of Interest (COI) relationships among potential reviewers and authors of scientific papers. This application discovers various 'semantic associations' between the reviewers and authors in a populated ontology to determine a degree of Conflict of Interest. This ontology was created by integrating entities and relationships from two social networks, namely "knows," from a FOAF (Friend-of-a-Friend) social network and "co-author," from the underlying co-authorship network of the DBLP bibliography. We describe our experiences developing this application in the context of a class of Semantic Web applications, which have important research and engineering challenges in common. In addition, we present an evaluation of our approach for real-life COI detection.

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Parr, Cynthia Sims, Parafiynyk, Andriy, Sachs, Joel, Ding, Li, Dornbush, Sandor, Finin, Tim, Wang, David and Hollander, Allan (2006): Integrating ecoinformatics resources on the semantic web. In: Proceedings of the 2006 International Conference on the World Wide Web 2006. pp. 1073-1074.

We describe ELVIS (the Ecosystem Location Visualization and Information System), a suite of tools for constructing food webs for a given location. We express both ELVIS input and output data in OWL, thereby enabling its integration with other semantic web resources. In particular, we describe using a Triple Shop application to answer SPARQL queries from a collection of semantic web documents. This is an end-to-end case study of the semantic web's utility for ecological and environmental research.

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

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Ding, Li, Finin, Timothy W., Joshi, Anupam, Peng, Yun, Pan, Rong and Reddivari, Pavan (2005): Search on the Semantic Web. In IEEE Computer, 38 (10) pp. 62-69.

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Ding, Li, Zhou, Lina, Finin, Timothy W. and Joshi, Anupam (2005): How the Semantic Web is Being Used: An Analysis of FOAF Documents. In: HICSS 2005 - 38th Hawaii International Conference on System Sciences 3-6 January, 2005, Big Island, HI, USA. .

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Ding, Li, Finin, Timothy W., Joshi, Anupam, Pan, Rong, Cost, R. Scott, Peng, Yun, Reddivari, Pavan, Doshi, Vishal and Sachs, Joel (2004): Swoogle: a search and metadata engine for the semantic web. 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. 652-659.

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Ding, Li, Zhou, Lina and Finin, Timothy W. (2003): Trust Based Knowledge Outsourcing for Semantic Web Agents. In: 2003 IEEE / WIC International Conference on Web Intelligence - WI 2003 13-17 October, 2003, Halifax, Canada. pp. 379-387.

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Zou, Youyong, Finin, Timothy W., Ding, Li, Chen, Harry and Pan, Rong (2003): Using semantic web technology in multi-agent systems: a case study in the TAGA trading agent environment. In: Sadeh, Norman M., Dively, Mary Jo, Kauffman, Robert J., Labrou, Yannis, Shehory, Onn, Telang, Rahul and Cranor, Lorrie Faith (eds.) Proceedings of the 5th International Conference on Electronic Commerce - ICEC 2003 September 30 - October 03, 2003, Pittsburgh, Pennsylvania, USA. pp. 95-101.

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