• Publications
  • Influence
Learning ontologies from natural language texts
Research on ontology is becoming increasingly widespread in the computer science community. The major problems in building ontologies are the bottleneck of knowledge acquisition and time-consumingExpand
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The state of the art in ontology learning: a framework for comparison
TLDR
This paper presents the state of the art in Ontology Learning (OL) and introduces a framework. Expand
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A new word sense similarity measure in wordnet
TLDR
This paper presents a new approach for measuring semantic similarity between words via concepts. Expand
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Efficient colossal pattern mining in high dimensional datasets
TLDR
We propose an efficient vertical bottom up method to conduct mining of frequent colossal patterns in high dimensional datasets. Expand
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A hybrid algorithm for the vehicle routing problem
TLDR
We propose a hybrid ACO algorithm for solving vehicle routing problem (VRP) heuristically in combination with an exact Algorithm to improve both the performance of the algorithm and the quality of solutions. Expand
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A New Classification Framework to Evaluate the Entity Profiling on the Web
TLDR
We introduce a comparison framework to compare and classify EP systems and list some of the open problems and main trends. Expand
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Ontology Learning: Revisited
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Using models at run-time to measure quality of SAS in the large-scale software systems
TLDR
An integrated approach for modeling and verifying the requirements of SAS is used as well as a measurement method to measure the level of satisficing quality factors using Model Driven Engineering (MDE). Expand
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Parallel frequent itemset mining using systolic arrays
TLDR
We represent an efficient scalable parallel algorithm using systolic arrays to conduct mining of frequent itemsets in very large, such as high dimensional, datasets. Expand
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