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Discovery and Scoring of Semantic Web Services based on Client Requirement(s) through a Semantic Search Agent

This paper shows a searching mechanism to discover semantic Web services satisfying client requirements. The increase in Web services and lack of semantic base in search mechanisms of UDDI make it difficult for clients to find a required Web service. We developed a system which uses a semantic search agent (SSA) to discover required Web services from Web and selects them according to the client requirements then presents them as a result page. The system uses Ontology Web Language for services (OWL-S), which allows semantic description of Web services and hence, the semantic search agent is able to understand predefined concepts of semantic Web services, extract necessary information and decide on the requirement of a service for a client. The system combines complimentary aspects of two research topics (smart Web query engine and matchmaking algorithm of OWL-S/UDDI matchmaker) to facilitate the provision of Web services to a client

A broker-based semantic agent for discovering Semantic Web services through process similarity matching and equivalence considering quality of service

The lack of semantic descriptions for “web service properties” makes it difficult to find suitable web services. Current solutions are mostly based on broker/mediator agent systems. However, these techniques are syntactical, rather than semantics oriented. This article presents a semantic matching approach for discovering Semantic Web services through a broker-based semantic agent (BSA). The BSA includes knowledge-bases and several processing steps. The BSA’s knowledge-bases are concept, task, and process ontologies built to describe both functional and non-functional parameters of services. The BSA executes semantic-based matching algorithms to discover similar services through the semantic matching step, process equivalence task, and matching of quality of service parameters. Relevant services are ranked by client preferences utilizing the semantic descriptions of available services. Other matchmaker studies are reviewed and compared with the BSA. Performance of the BSA algorithm is compared with SAM using published data and an experimental setup. The results indicate that our approach is better and more effective in some respects.

Considerations on a new software architecture for distributed environments using autonomous semantic agents

Distributed processing environments such as that of a traffic management network system (TMS) can be implemented easier, faster, and secure and perform better through use of autonomous semantic agents (ASAs). For an ASA can then be realized as a semantic Web service, a whole TMS is easily implemented through a collection of semantic Web services agents arranged according to the topology of the traffic network. It would suffice to develop a generic ASA Web service class, instantiate individual ASAs from it in numbers as required one per junction, and supply specific intersection data in semantically-enriched representation to each. Should advanced information support and control services be required, one of the ASAs may be configured slightly differently in that it acts as the operational overseer and repository for aggregated data and ASA class code. Once created, this facilitator ASA knows the topology of the whole traffic network, identifies each intersection (and its associated ASA), can interrogate and instruct individual ASAs, aspects of ASA design, operation, and application development using ASAs are taken into consideration. Simulations show high performance and the benefits of load distribution using ASAs.

Semantic Agent Systems

At the beginning of the decade, the Agent Mediated Knowledge Management workshops series as well as Bonifacios theoretical approach layed the foundations of a new eld of distributed knowledge management based upon the agent paradigm. The agent based approach enables key features for knowledge management. The local management of knowledge by agents allows to go beyond the limitations of centralized knowledge management. Thus, knowledge can be maintained in each agent at a coarse-grained level, with different representations. In the mean time the rise of the semantic web technologies enables a new range of possibilities for agents dedicated to knowledge management. In this chapter we investigate the integration of semantic web technologies into an agent architecture that allows agents to represent their knowledge and their behavior in a semantic manner. We present the semantic agent model, its implementation and we discuss the perpectives open by semantic agents.Semantic agent systems are about the integration of the semantic Web, software agents, and multi-agent systems technologies. Like in the past (e.g. biology and informatics yielding bioinformatics) a whole new perspective is emerging with semantic agent systems. In this context, the semantic Web is a Web of semantically linked data which aims to enable man and machine to execute tasks in tandem. Here, software agents in a multi-agent system as delegates of humans are endowed with power to use semantically linked data. This edited book Semantic Agent Systems: Foundations and Applications proposes contributions on a wide range of topics on foundations and applications written by a selection of international experts. It first introduces in an accessible style the nature of semantic agent systems. Then it explores with numerous illustrations new frontiers in software agent technology. Semantic Agent Systems: Foundations and Applications is recommended for scientists, experts, researchers, and learners in the field of artificial intelligence, the semantic Web, software agents, and multi-agent systems technologies.

Securing RFID-based authentication systems using ParseKey+

Currently RFID authentication systems rely only on matching tag ID with the one kept in database. Additionally, an alphanumerical password might be matched as extra security. However, tag ID and information inside can be compromised. Therefore, a more secure scheme is required in order to enhance safety of access control through RFID tags in particularly highly secure environments such as secure virtual meetings or authentication and access control to access high security locals. We wish to present attendance control system which is more like access control in general as an application of our novel security enhancement on RFID based access control systems. The security enhancement utilizes partial ParseKey+ multi-way authentication scheme. ParseKey+ scatters randomly divided sub-keys into uniformly distributed noise. Generated file is encrypted using AES256 and then it is written into RFID device. Each successful login changes the key and its trace kept in DB in addition to updating the device for future login.

Provision of semantic web services through an intelligent semantic web service finder

This paper shows a searching mechanism to discover Semantic Web Services satisfying client requirements. The increase in web services and lack of semantic base in search mechanisms of UDDI make it difficult for clients to find a required web service. We developed a system which uses a Semantic Search Agent (SSA) to discover suitable web services according to client requirements then presents them as a result page. The system uses Ontology Web Language for Services (OWL-S), which allows semantic description of web services. Hence, the SSA is able to understand predefined features of Semantic Web Services, extract necessary information, and decide on which services would meet the service requirement of a client. The system retargets and combines complimentary aspects of two research topics (Smart Web Query Engine and Matchmaking Algorithm of OWL-S/UDDI Matchmaker) to facilitate the provision of web services to a client.

Towards an Information Extraction System Based on Ontology to Match Resumes and Jobs

While Internet takes up by far the most significant part of our daily lives, finding jobs/employees on the Internet has started to play a crucial role for job seekers and employers. Online recruitment websites and human resources consultancy and recruitment companies enable job seekers to create their résumé, a brief written formal document including job seekers basic information such as personal information, educational information, work experience and qualifications in order to find and apply for desirable jobs, whereas they enable companies to find qualified employees they are looking for. However résumés may be written in many ways that make it difficult for online recruitment companies to keep these data in their relational databases. In this study, a project that Kariyer.net (largest online recruitment website in Turkey) and TUBITAK (The Scientific and Technological Research Council of Turkey) have been jointly working is proposed. In this mentioned project, a system enables free structured format of résumés to transform into an ontological structure model. The produced system based on ontological structure model and called Ontology based Résumé Parser (ORP) will be tested on a number of Turkish and English résumés. The proposed system will be kept in Semantic Web approach that provides companies to find expert finding in an efficient way.

An ontology-based information extraction approach for résumés

A Curriculum Vitae (CV) or a resume, in general, consists of personal information, education information, work experience, qualifications and preferences parts. Scanning or making structural transformation of the millions of free-formatted resumes from the databases of companies / institutions with human factor will result in the loss of too much time and human effort. In the literature, a limited number of studies have been done to change the resumes of the free-format to a structural format. The overall objective of the study is to infer required information such as users experience, features, business and education from resumes of the potential user of a human resources system. In this article, we proposed an ontology driven information parsing system that is planned to operate on few millions of resumes to convert them structured format for the purpose of expert finding through the Semantic Web approach.

Finding Suitable Course Material through a Semantic Search Agent for Learning Management Systems of Distance Education

Developing technology and increasing usage of computers around the world make Internet a convenient tool for Distance Education (DE) systems. Learning Management Systems-(LMSs) of DE around the world serve content-based courses to students/users via static pages on the Web. Additionally, querying for specific course content of an entire course in LMS is only possible by syntactic-based search agents which limit the search. Therefore, it is thought that querying of contents through semantic-based approaches would make LMSs more helpful for a student/user through the Semantic Web (SW) approach. Queries can be meaning based and this can enable the system to make meaningful inference in human-computer interaction. In this article, we propose a system architecture that performs semantic -- based searches through an agent in order to plan student-based schedule of course documents automatically according to students performance in the course of a semester. OWL language of the SW technology is used during the development of the ontology of the LMS system that is used as a knowledgebase and queried to obtain required data. In this article, we concentrate on developing the system as a module for a LMS currently in use.

Ontology-Based Matchmaking and Composition of Business Processes

This chapter shows how it is possible to use agents and Semantic Web technologies to deal with dynamic composition of business processes via an agent-based workflow system. The aim of the system is to discover composable processes at first among heterogeneous business processes that are running possibly under different Web servers and then execute them in the order specified by a planner to reach a complex requested goal. We proposed a framework of an Inference-based Semantic Composition Agent (SCA) of atomic business processes that employs process similarity matching and inference techniques. SCA synthesizes new services from existing ones in an automatic fashion. A powerful matching mechanism is needed to find fitting tasks in order to attain the required composition. An innovative Semantic Matching Step (SMS) of SCA helps to find the fitting tasks while constituting workflow to achieve required composition. Additionally, SCA composes available OWL-S atomic processes utilizing Revised Armstrong’s Axioms (RAAs) in inferring functional dependencies. Experiments show that SCA System produces atomic process sequences as a workflow in achieving the required composition plan that satisfies user’s requirements as a complex task. The novelty of the SCA System is that for the first time Armstrong’s Axioms are revised and used for semantic-based planning and inferencing of services.