List of Articles هستان‌شناسی

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  1 - A Semantic Model for Business Process Management with Service Level Agreements
  parvaneh hajinazari
  Service Level Agreement (SLA) is an important tool for guiding and guaranteeing the quality of the execution of service-based business processes and the achievement of business goals. In this regard, this paper expresses SLAs for the process oriented enterprises in a ma More

  Service Level Agreement (SLA) is an important tool for guiding and guaranteeing the quality of the execution of service-based business processes and the achievement of business goals. In this regard, this paper expresses SLAs for the process oriented enterprises in a machine understandable format. we propose an ontology-based representation model of SLA and utilize the business services performance requirements specified as Key Indicators (KPIs and KQIs) to define SLA parameters. The purpose is to make it possible to monitor business processes based on SLA in order to assure compliance with business requirements and targeted objectives. At the end, an SLA monitoring prototype system is proposed to show how the model can be deployed. This model can help automate the process of SLA representation, monitoring and taking actions in case of violations in SOA and business process domains. Manuscript profile
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  2 - IMPROVE THE RECOMMENDER SYSTEM USING SEMANTIC WEB
  mohammad ebrahim samie
  To buy his/her necessities such as books, movies, CD, music, etc., one always trusts others’ oral and written consultations and offers and include them in his/her decisions. Nowadays, regarding the progress of technologies and development of e-business in websites, a ne More

  To buy his/her necessities such as books, movies, CD, music, etc., one always trusts others’ oral and written consultations and offers and include them in his/her decisions. Nowadays, regarding the progress of technologies and development of e-business in websites, a new age of digital life has been commenced with the Recommender systems. The most important objectives of these systems include attracting the customers and their confidences by detecting their interests and tastes and recommending them the most appropriate offer. Using the relationships between entities in the DBpedia ontology, this study tries to investigate the application of and extracting the information in the movie area. In the next step, the structure of Recommender System is designed and its performance is evaluated using information extracted from "MovieLens" database. This study’s endeavor is to present a comprehensive overview of Recommender systems and a proposed method based on the benefits of semantic web databases, along with the implementation compared to existing methods. Our results indicate that the proposed method outperforms in terms of efficiency and performance. Manuscript profile
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  3 - Improving recommender systems with the help of Semantic Web
  rahele beheshti mohammad ebrahim samie ali hamze
  In order to provide for the necessities of life, human beings always use the advice and suggestions of others, which are provided orally or in writing, and take them into account in their decisions. Today, with the advancement of technology and the expansion of e-busine More

  In order to provide for the necessities of life, human beings always use the advice and suggestions of others, which are provided orally or in writing, and take them into account in their decisions. Today, with the advancement of technology and the expansion of e-business in the context of Internet websites, a new chapter of digital life has begun with the help of advisory systems. The most important goal in these systems is to attract customers and gain their trust by offering the best and most appropriate offer to buy products, according to their interests and tastes in the midst of a multitude of choices. In this research, an attempt has been made to extract information related to the field of film with the help of connections in DBpedia's ontology. Then the structure of the recommender system is designed and implemented and with the help of the information available in the MovieLens database, the performance of the recommender system is evaluated. According to the evaluations, the proposed model is more efficient among other methods that somehow use the semantic web. Manuscript profile
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  4 - Ontology Matching Based on Maintaining Local Similarity of Information Using Propagation Technique
  NazarMohammad Parsa Asieh Ghanbarpour
  In recent years, ontologies, as one of the most important components of the semantic web, have expanded in various fields. The problem of ontology matching has been raised with the aim of creating a set of mappings between entities of ontologies. This problem is classif More

  In recent years, ontologies, as one of the most important components of the semantic web, have expanded in various fields. The problem of ontology matching has been raised with the aim of creating a set of mappings between entities of ontologies. This problem is classified as an NP-hard problem. Therefore, greedy methods have been proposed to solve it in different ways. Selecting the appropriate lexical, structural and semantic similarity criteria and using an effective combination method to obtain the final mapping is one of the most important challenges of these methods. In this paper, an automatic method of matching ontologies is proposed to provide a one-to-one mapping set. This method detects primary mappings based on a new lexical similarity criterion, which is accordance with the descriptive essence of entities and combining this similarity with semantic similarity obtained from external semantic sources. By locally propagating the score of initial mappings in the class hierarchy graph, structurally matching entities are identified. In this method, property matching is examined in a separate step. In the final step, the mapping filter is applied in order to maintain the consistency of the final mapping set. In the evaluation section, comparing the performance of the lexical similarity measure compared to other proposed textual similarity measures, indicates the efficiency of this measure in the problem of ontology matching. In addition, the results of the proposed matching system compared to the results of the set of participating systems in the OAEI competitions shows this system in the second place and higher than many complex matching systems. Manuscript profile