Many challenges of bringing communicating multiagent systems to the Web require ontologies. The integration of agent technology and ontologies could significantly affect the use of Web services and the ability to extend programs to perform tasks for users more efficiently and with less human intervention.

This article discusses how artificial intelligence (AI) planning techniques can be used to enable automatic composition of Web Services. Particulary, the paper discusses how standard Web Service descriptions can be annotated and converted into proper formats like PDDL to enable reasoning with modern AI planning tools. 1

Summary. In this paper we define a model of a web multi-agent system that combines the use of Semantic Web technologies (like RDF and OWL languages to describe resources and define ontologies respectively) together with the application of user profiles to carry out its activity. It is designed using fuzzy linguistic techniques which allow dealing with information in a user-friendly way. The system activity is developed in two phases: retrieval phase to gather the documents from the Web, and feedback phase to update the elements used to filter the documents, i.e., user profiles and recommendation values. We focus on the analysis of the feedback phase. With this multi-agent system model the filtering possibilities are increased and, consequently, also the retrieval capabilities on the Web. 1

This dissertation discusses the problems and the methods of creating and using ontologies in the area of digital cultural heritage. One of the problems is that content annotations in semantic cultural heritage portals commonly make spatiotemporal references to historical regions and places using names whose meanings are different in different times. For example, historical administrational regions such as countries, municipalities, and cities have been renamed, merged together, split into parts, and annexed or moved to and from other regions. The contribution of this dissertation to this problem is to develop methods which can be used to model, produce and utilize geospatio-temporal ontologies. The resources in geospatio-temporal ontologies can be used as annotation terms for describing content, and also for seeking information. The main point of this dissertation is to describe schemas, models and methods that produce and utilize a geospatio-temporal ontology. The schemas and the models are used as inputs for the methods. These methods generate identifiers for spatio-temporal instances, and also relationships between them. In this work, historical Finnish municipalities were modeled and geospatio-temporal descriptions for them created from a filled-up schema. Methods enriched the models by creating geospatio-temporal relationships between these temporal