A description of the New Brunswick Business Knowledge Base (NBBizKB) is provided and is made available online in RuleML. NBBizKB realizes a two-step design. First, business facts are extracted, once from static CSV tables and, repeatedly from dynamic semi-structured HTML pages. Second, Semantic Web rules are developed to derive information implicit in the fact base. Fact extraction comprises an...

Rule markup languages are the vehicle for using rules on the Web and other distributed systems. They allow deploying, executing, publishing and communicating rules in a network. The Object Management Group (OMG) standardized the Decision Modelling and Notation (DMN). Decision tables describe the business logic of a decision making process. We form a bridge by providing a translation framework t...

Legislative documents are by their own nature subject to interpretation, and interpretations of one document can diverge. In this paper we discuss the mechanism proposed by LegalRuleML to capture alternative interpretations or renderings of a legal source. LegalRuleML allows for mutually incompatible renderings (or interpretations) of a legal source to coexist in the same LegalRuleML document, ...

The Decision Management (DM) Community Challenge of March 2016 consisted of creating decision models from ten English Port Clearance Rules inspired by the International Ship and Port Facility Security Code. Based on an analysis of the moderately controlled English rules and current online solutions, we formalized the rules in PositionalSlotted, Object-Applicative (PSOA) RuleML. This resulted in...

Rule interchange has become one of the most important issues in the Semantic Web. As a recommendation of the W3C (WWW Consortium), RIF (Rule Interchange Format) is dedicated to rule interchange between different rule languages. To be a general rule interchange format, RIF should first support rule interchange with SWRL (Semantic Web Rule Language), RuleML (Rule Markup Language), R2ML (REWERSE R...

This tutorial presents the principles of the OASIS LegalRuleML applied to the legal domain and discuss why, how, and when LegalRuleML is wellsuited for modelling norms. To provide a framework of reference, we present a comprehensive list of requirements for devising rule interchange languages that capture the peculiarities of legal rule modelling in support of legal reasoning. The tutorial comp...

A tree similarity algorithm for match-making of agents in e-business environments is presented. Product/service descriptions of seller and buyer agents are represented as nodelabelled, arc-labelled, arc-weighted trees. A similarity algorithm for such trees is developed as the basis for semantic match-making in a virtual marketplace. The trees are exchanged using a serialization in Object-Orient...

Representing and reasoning with qualitative geospatial relationships among regions is an important task in many geospatial applications. In this paper, we present a Datalog rulebase, GeospatialRules, which can be used for this task. The rulebase is built on top of the Region Connection Calculus (RCC). It includes rules, facts, and queries. The rules in GeospatialRules consist of a set of rules ...

Ensuring the consistency and completeness of Semantic Web ontologies is practically impossible, because of their scale and highly dynamic nature. Many web applications, therefore, must deal with vague, incomplete and even inconsistent knowledge. Rules were shown to be very effective in processing such knowledge, and future web services are expected to depend heavily on them. RuleML, which is th...

Fuzzy Cognitive Map (FCM) technique is a combination of Fuzzy Logic and Artificial Neural Networks that is extensively used by experts and scientists of a diversity of disciplines, for strategic planning, decision making and predictions. A standardized representation of FCMs accompanied by a system that would assist decision makers to simulate their own developed Fuzzy Cognitive Maps would be h...