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Full-Text Articles in Computer Engineering
A Vector Based Method Of Ontology Matching, Z. Eidoon, N. Yazdani, Farhad Oroumchian
A Vector Based Method Of Ontology Matching, Z. Eidoon, N. Yazdani, Farhad Oroumchian
Farhad Oroumchian
Semantic interoperability is highly influenced by similarities and differences which exist between ontologies. Ontology matching as a solution for finding corresponding concepts among ontologies has emerged to facilitate semantic based negotiations of applications. This paper presents a method of ontology matching which is based on vectorizing ontologies and estimating their similarity degree. A post processing with two heuristic rules also has been employed to improve the results. The proposed method is successfully applied to the test suit of Ontology Alignment Evaluation Initiative 2005 [10] and compared to results obtained by other methods. In general the preliminary results are encouraging and …
Clusid: A Clustering Scheme For Intrusion Detection, Improved By Information Theory, R. Shokri, Farhad Oroumchian, N. Yazdani
Clusid: A Clustering Scheme For Intrusion Detection, Improved By Information Theory, R. Shokri, Farhad Oroumchian, N. Yazdani
Farhad Oroumchian
Security is a big issue for all networks in any enterprise environment. Many solutions have been proposed to secure the network infrastructure and communication over the Internet. Intrusion Detection Systems with many different techniques such as data mining approaches are employed to maximize the detection rate of intrusions while reducing false alarm rate. For instance, many clustering techniques are recommended which segregate normal and abnormal data in IDSs. Clustering methods put emphasis on finding differences and similarities of traffic sessions to categorize each one in its corresponding groups. These groups are represented by their assigned labels. Later, these labels are …
Fufair: A Fuzzy Farsi Information Retrieval System, A. Nayyeri, Farhad Oroumchian
Fufair: A Fuzzy Farsi Information Retrieval System, A. Nayyeri, Farhad Oroumchian
Farhad Oroumchian
Persian (Farsi) is one of the languages of Middle East. There are significant amount of Persian documents available in digital form and even more are created every day. Therefore, there is a necessity to implement Information Retrieval System with high precision for this language. This paper discusses the design, implementation and testing of a Fuzzy retrieval system for Persian called FuFaIR. This system also supports Fuzzy quantifiers in its query language. Tests have been conducted using a standard Persian test corpus called Hamshari. The performance results obtained from FuFaIR are positive and they indicate that the FuFaIR could notably outperform …
Using Owa Fuzzy Operator To Merge Retrieval System Results, H. Amiri, A. Aleahmad, Farhad Oroumchian, C. Lucas, M. Rahgozar
Using Owa Fuzzy Operator To Merge Retrieval System Results, H. Amiri, A. Aleahmad, Farhad Oroumchian, C. Lucas, M. Rahgozar
Farhad Oroumchian
With rapid growth of information sources, it is essential to develop methods that retrieve most relevant information according to the user requirements. One way of improving the quality of retrieval is to use more than one retrieval engine and then merge the retrieved results and show a single ranked list to the user. There are studies that suggest combining the results of multiple search engines will improve ranking when these engine are treated as independent experts. In this study, we investigated performance of Persian retrieval by merging four different language modeling methods and two vector space models with Lnu.ltu and …
An Application Of Plausible Reasoning To Information Retrieval, Farhad Oroumchian, Robert N. Oddy
An Application Of Plausible Reasoning To Information Retrieval, Farhad Oroumchian, Robert N. Oddy
Farhad Oroumchian
This work explores the use of plausible inferences as a means of retrieving relevant documents. Collins and Michalski’s theory of plausible reasoning has been modified to accommodate information retrieval. Methods are proposed to represent document contents by logical terms and statements, and queries by incomplete logical statements. Extensions to plausible inferences are discussed. Two versions of the extended plausible reasoning system were implemented, one using dominance weights (described in the paper) and the other using tf. Idf (Term Frequency Inverse Document Frequency) weights. Experiments were conducted using the titles and abstracts of the CACM collection and it was found that …