Combining Different Business Rules Technologies: A Rationalization

Grosof, Benjamin N.; Rouvellou, Isabelle; Degenaro, Lou; Chan, Hoi; Rasmus, Kevin; Ehnebuske, Dave; McKee, Barbara

doi:10.2139/ssrn.290120

Cited by 8 publications

(2 citation statements)

References 4 publications

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“…Rule-based systems have long been used to incorporate legal or business rules into software systems, which then may make a determination for a given situation based on input data [16,17] Such rule-based systems are normally implemented on top of an Expert System Shell such as OPS83, JESS or CLIPS [6,14,15]. However, the process of coding and implementing the rules is as difficult as any other programming task and requires a knowledge engineer's proficiency to understand the English language rules first, before translating them into a system of expert rules.…”

Section: Business Rules Regulations and Eligibility Rulesmentioning

confidence: 99%

Monitoring and Updating Regulations and Policies for Government Services

Chun

Portscher

Geller

2005

Lecture Notes in Computer Science

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Abstract.One of the challenges citizens and businesses face in interacting with governments for entitled services or compliance services is to find the right set of regulations and rules that are applicable for them. Very often the regulations and policies that determine the applicability of specific services are implemented and provided by separate government agencies, thus scattered in different Web sites and documents and are hard to be identified. In addition, the regulatory rules and government policies change often, making it harder to maintain the applicable services. In this paper, we present an integrated policy ontology of distributed regulatory rules and policies to support the discovery of applicable regulations and services. We present an ontology-guided annotation and extraction of policy rules from Web source documents. To support the dynamic changes in regulatory and policy rules, we developed a method of automatic updating the policy ontology by monitoring the source text documents. We describe a prototype eligibility verification system that verifies eligibility for various welfare government services. The eligibility rules and policies are extracted from different government websites to enrich the policy ontology. The eligibility rules and policies are monitored, and automatically updated, should any changes occur.

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Section: Business Rules Regulations and Eligibility Rulesmentioning

confidence: 99%

Monitoring and Updating Regulations and Policies for Government Services

Chun

Portscher

Geller

2005

Lecture Notes in Computer Science

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“…A common means of representing knowledge is to use knowledge rules [2]. Three types of knowledge rules have been found to be useful in many applications [3,4]: integrity constraints [5], logic-based derivation rules [6], and condition-action rules [7,8]. One possible approach for the interoperability of these heterogeneous rules is to choose one rule type as a common format and convert the other rule types into this chosen representation [9].…”

Section: Introductionmentioning

confidence: 99%

Ontology Management in an Event-Triggered Knowledge Network

Zhou

Xiao

DePree

et al. 2010

Lecture Notes in Computer Science

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This paper presents an ontology management system and ontology processing techniques used to support a distributed event-triggered knowledge network (ETKnet), which has been developed for deployment in a national network for rapid detection and reporting of crop disease and pest outbreaks. The ontology management system, called Lyra, is improved to address issues of terminology mapping, rule discovery, and large ABox inference. A domain ontology that covers the concepts related to events, rules, roles and collaborating organizations for this application in ETKnet was developed. Terms used by different organizations can be located in the ontology by terminology searching. Services that implement knowledge rules and rule structures can be discovered through semantic matching using the concepts defined in the ontology. A tableau algorithm was extended to lazy-load only the needed instances and their relationships into main memory. With this extension, Lyra is capable of processing a large ontology database stored in secondary storage even when the ABox cannot be entirely loaded into memory.

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Processing distributed event data and multifaceted knowledge in a collaboration federation

Degwekar

Sardesai

et al.

IRI -2005 IEEE International Conference on Information Reuse and Integration, Conf, 2005.

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All nations are facing many global problems, the solutions to which require efficient and effective sharing of distributed, heterogeneous data, knowledge and application systems. We present a way to capture organizations' multi-faceted knowledge by three popular rule types and rule structures, and wrap them as Web Services for their registration, discovery and invocation. Distributed data associated with events defined by these organizations are transmitted through a distributed event infrastructure to those sites that contain applicable rules. The processing of heterogeneous rules and application operations specified in rules may add to or modify the event data to produce a dynamic event data set that can be used to support collaborating organizations' decisionmaking and problem solving. A peer-to-peer architecture of a distributed system and the functions of its components are described. Issues and approaches related to event data evolution and distributed rule and trigger processing are also discussed.

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Combining Different Business Rules Technologies: A Rationalization

Cited by 8 publications

References 4 publications

Monitoring and Updating Regulations and Policies for Government Services

Monitoring and Updating Regulations and Policies for Government Services

Ontology Management in an Event-Triggered Knowledge Network

Processing distributed event data and multifaceted knowledge in a collaboration federation

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