List of Articles وب معنایی

• Open Access Article
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  1 - Semiautomatic Creation of Enterprise Mashups Using Semantic Descriptions
  Hooman Tahayori
  Mashups are next generation of web applications. A mashup is a lightweight web application that is created by combining information or capabilities from more than one existing resources to deliver a new and integrated experience to the user. Mashups introduce a new clas More

  Mashups are next generation of web applications. A mashup is a lightweight web application that is created by combining information or capabilities from more than one existing resources to deliver a new and integrated experience to the user. Mashups introduce a new class of integration techniques in enterprises for implementing situational applications (i.e. applications that come together to solve an immediate, transient and specific business problem). In a dynamic, complex and competitive enterprise environment, it is impossible to predict and create all the future integrated applications. Enterprise mashups as a simple and quick solution helps small teams and individuals in an organization with limited knowledge in programming to create their desired integrated applications by combining and reusing internal resources of organization with resources published on the Internet. Currently there are many tools proposed by different software vendors to facilitate creating enterprise mashups. Although these tools facilitate creating enterprise mashups to some extent but still needs the mashup end-user to have some experiences in web technologies, information security and data structures of mashup components. Furthermore, the generated mashup is dependent on its components, so change or replacing a component is a complex and time-consuming task. This issue will be exacerbated in enterprise mashups that are created by knowledge workers. In this research, we aim to make creation of enterprise mashups semi-automatically by combining SOA (Service- Oriented Architecture), Semantic Web and Web 2.0 technologies. In addition, we propose a novel annotation mechanism to apply semantic descriptions and enterprise policies to the generated mashup. Manuscript profile
• Open Access Article
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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
• Open Access Article
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  3 - Semiautomatic Creation of Enterprise Mashups Using Semantic Descriptions
  shahriyar mohammadi ali khalili
  Mashups are next generation of web applications. A mashup is a lightweight web application that is created by combining information or capabilities from more than one existing resources to deliver a new and integrated experience to the user. Mashups introduce a new clas More

  Mashups are next generation of web applications. A mashup is a lightweight web application that is created by combining information or capabilities from more than one existing resources to deliver a new and integrated experience to the user. Mashups introduce a new class of integration techniques in enterprises for implementing situational applications (i.e. applications that come together to solve an immediate, transient and specific business problem). In a dynamic, complex and competitive enterprise environment, it is impossible to predict and create all the future integrated applications. Enterprise mashups as a simple and quick solution helps small teams and individuals in an organization with limited knowledge in programming to create their desired integrated applications by combining and reusing internal resources of organization with resources published on the Internet. Currently there are many tools proposed by different software vendors to facilitate creating enterprise mashups. Although these tools facilitate creating enterprise mashups to some extent but still needs the mashup end-user to have some experiences in web technologies, information security and data structures of mashup components. Furthermore, the generated mashup is dependent on its components, so change or replacing a component is a complex and time-consuming task. This issue will be exacerbated in enterprise mashups that are created by knowledge workers. In this research, we aim to make creation of enterprise mashups semi-automatically by combining SOA (Service- Oriented Architecture), Semantic Web and Web 2.0 technologies. In addition, we propose a novel annotation mechanism to apply semantic descriptions and enterprise policies to the generated mashup. Manuscript profile
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  4 - 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
• Open Access Article
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  5 - An Uncertain Distributed Method for Reasoning in Ontologies
  F. Anoosha B. Tork Ladani M. A. Nematbakhsh
  Semantic web has been one of the most important research areas of computer science in recent years. The concept of ontology as one of the most elements of semantic web is used to formally describe the domain knowledge and to enable the reasoning capability. Semantic web More

  Semantic web has been one of the most important research areas of computer science in recent years. The concept of ontology as one of the most elements of semantic web is used to formally describe the domain knowledge and to enable the reasoning capability. Semantic web is a distributed system and ontologies may be developed on many different nodes, so centralized reasoning is very hard or even impossible in many cases. On the other hand, since the majority of information in semantic web is uncertain, considering the notion of uncertainty in ontological reasoning is crucial. In this paper a method for distributed reasoning in uncertain ontologies is proposed. For this purpose the distributed description logic (DDL) framework and the certainty theory are considered for distributed reasoning and modeling the uncertainty respectively. To evaluate the functionality and performance of the algorithm, we developed a case study on application of the proposed method in purifying the mappings between ontologies. The results show that our algorithm makes the mappings more precise than other similar methods. Manuscript profile
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  6 - 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