In the world of Web pages, there are oceans of documents in natural language texts and tables. To extract rules from Web pages and maintain consistency between them, we have developed the framework of XRML (eXtensible Rule Markup Language). XRML allows the identification of rules on Web pages and generates the identified rules automatically. For this purpose, we have designed the Rule Identific...

Rules are becoming increasingly important in business modeling and requirements engineering, and as a high level programming paradigm. In the area of rule modeling there are different developer communities like UML modelers and ontology architects. The former use rules in business modeling and in software development, while the latter use rules in collaborative Web applications. Each of them is...

— Reaction RuleML is a general, practical, compact and user‐friendly XML‐serialized language for the family of reaction rules. In this white paper we give a review of the history of event / action /state processing and reaction rule ap‐ proaches and systems in different domains, define basic concepts and give a classification of the event, action, state processing and reasoning space as well as...

Usage of background knowledge about events and their relations to other concepts in the application domain can improve the expressiveness and flexibility of complex event processing systems. Huge amounts of domain background knowledge stored in external knowledge bases can be used in combination with event processing in order to achieve more knowledgeable complex event processing. In this disse...

The shift toward global networking brings with it many opportunities and challenges. In this paper, we discuss key technologies in achieving global semantic interoperability among heterogeneous information systems, including both traditional and Web data sources. In particular, we focus on the importance of this capability and the technologies we have designed to overcome ontological heterogene...

The shift towards global networking brings with it many opportunities and challenges. In this paper, we discuss key technologies in achieving global semantic interoperability among heterogeneous information systems, including both traditional and web data sources. In particular, we focus on the importance of this capability and technologies we have designed to overcome ontological heterogeneity...

The ultimate vision of the Semantic Web (SW) is to provide users with the capability of delegating complex tasks to intelligent agents. The latter, acting in an interoperable and information-rich Web environment, will efficiently satisfy their users’ requests in a variety of real-life applications. Much work has been done on SW information agents for Web-based query answering; a variety of mult...

Images represent a key source of information in many domains and the ability to exploit them through their discovery, analysis and integration by services and agents on the Semantic Web is a challenging and significant problem. To date the semantic indexing of images has concentrated on applying machine-learning techniques to a set of manually-annotated images in order to automatically label im...

Semantic Web can offer XBRL: • Sophistication in knowledge representation (KR). E.g., expressiveness, nonmonotonic reasoning (conflict handling), interoperability, and performance optimization techniques. E.g., rule-based ontologies, rule-based business policies, rule-based analytics, expressive queries and views. o Key semantic rule standards today are based primarily on declarative logic prog...