Mobile information agents on the web

Author(s):  
Andreas Gehmeyr ◽  
Jürgen Müller ◽  
Albert Schappert
2001 ◽  
Author(s):  
Daniela Rus

Author(s):  
Hércules Antonio do Prado ◽  
Aluizio Haendchen Filho ◽  
Míriam Sayão ◽  
Edilson Ferneda

The rapid evolution of Internet has opened a new era in the distributed systems scenery: the bigger part of the information systems currently developed is focused in Web applications. Typically, the information resources in Web systems are dynamic, distributed, and heterogeneous. Since these computing environments are opened, information resources can be connected or disconnected at any time. This ubiquity of Web and its distributed and interconnected characteristics represent a natural field for multiagent systems (MAS), spreading this kind of application. Software agents can dynamically discover, orchestrate, and compose services, check activities, run business processes, and integrate heterogeneous applications. Most of the large organizations adopt heterogeneous and complex information systems. These systems must coordinate their applications in order to provide efficient support to business processes and consistent information management. Unfortunately, the operational software underlying these systems usually does not handle multitask distributed heterogeneous applications. Currently, enterprises are strongly interested in the strategic advantages of adopting distributed infrastructures that are designed to be dynamic, flexible, adaptable, and interoperable. In this context, the demand for agent-based applications has increased, opening new types of applications that include e-commerce, Web services, knowledge management, semantic Web, and information systems in general. Interesting solutions to B2B (business to business), e-business, and also applications that require interoperability based on knowledge about applications and business processes, will definitely benefit from the MAS technology. Also, intelligent information agents are regarded as one of the most promising areas for applying agents’ technology. Intelligent information agents act in fields like collaborative systems on Internet, knowledge discovery from heterogeneous sources, systems for intelligent management of information, and so on. The Web can also be seen as a big distributed database having XML (extensible markup language) and its extensions or modifications as an underlying data model. In this context, the MAS development has received support from new tools in order to make it easier for the developer to cope with specific requirements for Web architectures. It is accepted that these improvements in the technology, mainly by the new tools that are becoming available, will lead MAS technology to be explored in its full potential. So, we can state that the application domain of MAS is going to be strongly enlarged, defining a turning point in the systems development activity. In this chapter, we provide an overview on MAS technology, discuss how this technology is impacting the Web context, and provide a sound description of the concepts that are relevant to the application developers and target users.


Author(s):  
Abayomi Moradeyo Otebolaku ◽  
Maria Teresa Andrade

Audiovisual content consumption on mobile platforms is rising exponentially, and this trend will continue in the next years as mobile devices become more sophisticated. Thus, smartphones are gradually replacing our desktops as they increasingly become cheaper and more powerful with excellent multimedia processing support. As mobile users go about their routines, they continuously browse the web, seeking interesting content to consume, and also uploading personal content. However, users encounter huge volume of content that does not match their preferences, resulting in mobile information overload. Context-aware media personalization (CAMP) was proposed as a solution to this problem. CAMP assists users to select relevant content among alternatives considering users' preferences and contexts. This solution, however, are limited to static contexts. The contribution is mobile context-aware media personalization (MobCAMP), which is a special kind of personalization that utilizes users' contexts and activities to suggest media content according to the user's tastes and contextual situations.


Author(s):  
Áurea Anguera de Sojo ◽  
Francisco Serradilla

Due to the development of the information society, there has been a substantial change in regulating certain legal aspects in the field of intellectual property. Focusing on the Internet, there is the need to protect, on the one hand, user interests in use and private access to information in order to ensure security and protection of the data exchanged on the Web and, on the other hand, to ensure respect and protection of copyright of the work as well as the sui generis right of database makers. The picture is extremely complicated as interests and rights that may collide with each other must be combined. In the case of Internet access to different content that is offered on the Web, there is also another problem. In many cases we are not only faced with the problem of determining who owns the rights or who is the author, but a new way of creating content through collaboration or automated software agents is spreading that is radically different from the traditional model which makes it even more complicated to establish the intellectual property regime and the rights derived thereof, as we will understand in the second chapter.


2008 ◽  
Vol 17 (04) ◽  
pp. 495-521 ◽  
Author(s):  
DANIELA GODOY ◽  
ANALÍA AMANDI

The motivation behind personal information agents resides in the enormous amount of information available on the Web, which has created a pressing need for effective personalized techniques. In order to assists Web search these agents rely on user profiles modeling information preferences, interests and habits that help to contextualize user queries. In communities of people with similar interests, collaboration among agents fosters knowledge sharing and, consequently, potentially improves the results of individual agents by taking advantage of the knowledge acquired by other agents. In this paper, we propose an agent-based recommender system for supporting collaborative Web search in groups of users with partial similarity of interests. Empirical evaluation showed that the interaction among personal agents increases the performance of the overall recommender system, demonstrating the potential of the approach to reduce the burden of finding information on the Web.


1998 ◽  
Vol 8 (5) ◽  
pp. 400-413 ◽  
Author(s):  
Andrea Omicini ◽  
Franco Zambonelli

2001 ◽  
pp. 87-V
Author(s):  
Mathias Bauer ◽  
Dietmar Dengler ◽  
Gabriele Paul
Keyword(s):  

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