Khalid Latif

Currently I am serving as Assistant Professor at the NUST School of Electrical Engineering and Computer Science. I did my doctorate under supervision of Prof. Dr. A Min Tjoa of Vienna University of Technology. Prior to that, I did my Masters in Computer Science from Islamia University of Bahawalpur and Bachelors in Mathematics & Statistics from Sadiq Egerton College. My research interests include Information Retrieval, Semantic Web, Knowledge Management, and Collaborative Ontology Engineering.


Research Streams

DynamOnt - Collaborative Ontology Development

Common understanding is a decisive factor in the collaboration of distributed knowledge communities. A systematic approach to gain this common understanding is the dynamic creation of ontologies, leading to a more efficient use of shared information resources. At present, the creation of high-quality ontologies is a very time consuming and expensive task. Therefore, such ontologies are available only for few thematic fields. What is still missing is a methodology supported by tools, which would enable domain experts (who are not ontology building experts) to create ontologies on the fly, yet based on sound principles, created in short time. "Dynamic" means that these ontologies can then be extended and refined over time, can evolve to become more axiomatised, and can be personalised and localised by individuals or groups without losing touch with the community's preferred interpretation.

SemanticLIFE - Realizing Memex

Back in 1945, Vannevar Bush coined the idea of Memex as "a device in which an individual stores all his books, records, and communications, and which is mechanized so that it may be consulted with exceeding speed and flexibility. It is an enlarged intimate supplement to his memory". The SemanticLIFE project is an attempt to come a step closer to Vannevar Bush's vision. Recently we can observe a mushrooming of new projects aiming at some of the goals of Bush' innovative ideas. This is mainly caused by the racy technological development which opens new realization potentials. An indicator for the narrowing of the discrepancy between the visions of Memex versus its realization is the announcement of Memories for life - Managing information over a human lifetime as one of the seven Grand Challenges for Computing Research by the UK Computing Research Committee. The ACM Workshop on Continuous Archival and Retrieval of Personal Experiences is another indicator for the maturity of our present time to implement such systems.

Recent Publications

[DBLP] [Google Scholar] [ACM Portal]

Finished Thesis

Asad Masood Khattak. Temporal tracibility in ontology evolution management. NUST School of Electrical Engineering and Computer Science, 2008.

Open Thesis

Library of Ontology Matching Algorithms

Ontology matching is the process of determining correspondences between concepts. A set of correspondences is called an alignment. Alignment algorithms have been developed to discover the relationship of two terms of the input ontologies i and j. Finding correct alignments is a challenging task algorithms claims 100 perfect The uncertainity in the confidence A degree of similarity The matching can be both computed, by means heuristic algorithms, or inferred from other matchings.
Khalid Latif
Thursday, January 27, 2005
DynamOnt kickoff meeting, Linz

School of Electrical Engineering and Computer Science, National University of Sciences and Technology,
Al-Kindi Block, Scholars Ave., H-12,
Islamabad, Pakistan.
T: +92 51 90852171
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