Department of Computer Science and Engineering,
Address: (recently changed)
Dept. of Computer Science and Engineering
113 Research Drive
Bethlehem, PA 18015
Office: Mountaintop Building C, Room 232
Office Hours: Mon. 1-2:30pm, Thr. 3-4:30pm and by appointment (note, office hours changed on 10/28/2018)
Important: The CSE department moved to Mountaintop Building C in January 2018. Except where noted, all of my office hours will be held on the Mountaintop Campus. Here's information about the new location.
Phone: (610) 758-6533
Here are the courses I am currently teaching or have taught recently.
For a complete list of the courses I have taught,
- Spring 2019
- Fall 2018
- CSE 17: Structured Programming and Data Structures (CourseSite: CSE-017-012-FL18), TTh 10:45am-12pm, XS 303
- CSE 406: Research Methods (CourseSite: CSE-406-010-FL18), MW 2:35-3:50pm, BC 216
- Spring 2018
- Fall 2017
- CSE 17: Structured Programming and Data Structures
- Spring 2017
- Fall 2016
- The Semantic Web and Agent Technologies (SWAT) Lab
- The Semantic Web is a vision for extending the Web so that machines
can more intelligently integrate and process the wealth of information
that is available. Unlike HTML and ordinary XML, Semantic Web languages
such as SHOE,
(a W3C Recommendation),
allow semantics (i.e., meaning) to be explicitly associated
with the content. The semantics are formally specified in ontologies,
which can be shared via the Internet and extended for local needs.
The SWAT lab is at the forefront of Semantic Web research
by studying issues such as interoperability of distributed
ontologies, ontology evolution, and system architectures and tools
for the Semantic Web. See the group's homepage
Also see the full list of SWAT publications and the list of my publications prior to directing the SWAT Lab at Lehigh.
- Dezhao Song and Jeff Heflin. Automatically Generating Data Linkages Using a Domain-Independent Candidate Selection Approach. 10th International Semantic Web Conference. Bonn, Germany. LNCS 7031. Springer. November 2011.
- This paper describes how to improve the speed of determining mappings between objects described in RDF (although it can be easily applied to any graph data). The process requires no domain-specific information other than what classes and properties are comparable, which can be found in existing ontologies or by ontology-alignment techniques. We show that mappings between 1 million instance can be performed in under one hour on a Sun workstation. Surprisingly, this high recall, low precision filtering mechanism frequently leads to higher F-scores in the overall system.
- Yang Yu and and Jeff Heflin. Extending Functional Dependency to Detect Abnormal Data in RDF Graphs. The 10th International Semantic Web Conference. Bonn, Germany. Springer. November 2011.
- This paper describes a domain-independent approach to determining the data quality of graph data. The approach first learns probable functional dependencies in the graph, considering a fuzzy matching of values to account for some variation in the data. These functional dependencies are then used to test for data that does not fit the pattern. Experimental tests identified over 2800 anomalous triples in DBPedia, and investigation of a random sample found that 86.5% of these were actual errors.
- Y. Li, and J. Heflin. Using Reformulation Trees to Optimize Queries over Distributed Heterogeneous Sources. Ninth International Semantic Web Conference (ISWC 2010). 2010.
- This paper describes an algorithm that uses the structure of a rule-goal tree expressing the rewrites of a given query to efficiently locate the relevant sources. It starts with the most selective query nodes, and incrementally loads sources, using the information to refine queries of subsequent sources. Our experiments show that this algorithm can answer many randomly-generated complex queries against 20 million heterogeneous data sources in less than 30 seconds.
- Z. Pan, A. Qasem, J. Heflin. An Investigation into the Feasibility of the Semantic Web. In Proc. of the Twenty First National Conference on Artificial Intelligence (AAAI 2006), Boston, USA, 2006. pp. 1394-1399.
- This is the first paper to discuss our attempts to realize the vision of the Semantic Web as a Web-scale query-answering system. We loaded nearly 350,000 real-world semantic web documents that committed to 41,000 ontologies into our DLDB system and then used additional "mapping ontologies" to integrate them. This experiment yielded promising results in that query times ranged from a few milliseconds to 5 seconds.
- Y. Guo, Z. Pan, and J. Heflin. LUBM: A Benchmark for OWL Knowledge Base Systems. Journal of Web Semantics 3(2), 2005, pp158-182.
- This is the definitive reference on the Lehigh University Benchmark (LUBM) and on empirical evaluation of Semantic Web knowledge base systems in general. This journal article coalesces the results from the ISWC 2003 and ISWC 2004 papers, the latter of which won the best paper award at the conference. In addition, it includes a discussion of preliminary tests on Jena and SPARQL versions of the benchmark queries.
Recent Service Activities:
- 16th International Semantic Web Conference (ISWC 2017), General Chair
- The First International Workshop on Biomedical Data Integration and Discovery (BMDID 2016), Organizing Committee
- AAAI-13, Special Track on AI and the Web, Track Chair
- 11th International Semantic Web Conference (ISWC 2012), Co-Program Chair
- Twenty-Sixth Conference on Artificial Intelligence (AAAI-12), Senior Program Committee
- Artificial Intelligence Journal, Editorial Board
- Journal of Web Semantics, Special Issue on Web-scale Semantic Information Processing, Guest Editor
- Journal of Web Semantics, Special Issue on Evaluation of Semantic Technologies, Guest Editor
Information for Prospective Graduate Students:
- Please do not send me e-mail asking me to evaluate your chances of
admission to the department. I typically do not respond to such requests.
- If you are interested in joining my research group, then send me an
e-mail that specifically describes what you would like to do and what prior
qualifications you have. However, I recommend that you read some of my
publications and explore our
current research first. If I
think your interests match our research, then I will contact you for
Semantic Web Resources:
- The Semantic Web by Tim Berners-Lee, James Hendler, and Ora Lassila
The Scientific American article that presents the vision of the Semantic Web.
- State of the LOD Cloud
Statistics about the Linked Open Data cloud provided by Freie Universitat Berlin. Linked Open Data is real data in Semantic Web form and is growing daily. Thesestatistics are typically updated once a year.
- Semantic Web Case Studies and Use Cases
A continually growing list of applications of Semantic Web technology collected by the W3C. Case studies are actually deployed systems, while use cases are prototype systems.
A Semantic Wiki for the Semantic Web community. Includes information on tools, ontologies, people, and events.
- Semantic Web Activity at W3C
The World Wide Web Consortium's collection of specifications, working groups, and resources related to the Semantic Web.
A web site for non-developers to learn about the Semantic Web and for developers to share Semantic Web tools.