D. Richards and P. Compton. Combining formal concept analysis and ripple down rules to support reuse. In Proceedings of Software Engineering Knowledge Engineering SEKE'97, Madrid, June 1997. Springer-Verlag.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....within the text are considered as formal attributes. The structure of the corresponding concept lattice is then considered as a starting point for a class hierarchy. In [58] Tilley et al. present a case study applying Duwel s approach to an Object Z specification. Bottger and Richards et al.[37,36,39,7,35,38,40] also apply FCA to use cases in an attempt to reconcile descriptions written by different stake holders using a controlled vocabulary and grammar. Their tool RECOCASE (RECOnciling CASE tool) exploits a Prolog answering system called ExtrAns and LinkGrammar an English language parser using link ....

D. Richards and P. Compton. Combining formal concept analysis and ripple down rules to support reuse. In Proceedings of Software Engineering Knowledge Engineering SEKE'97, Madrid, June 1997. Springer-Verlag.

....through the KB and the patches found on those paths. Patch histories are low level syntactic 552 T. Menzies et al. knowledge yet they capture the context of change of an expert system. Very large expert systems have been built and maintained in this manner, without needing knowledge engineers [10,11,28,29]. Altho# and Menzies have other doubts about systems engineering and the guidance benefits using PSMs and ontologies: It may not be cost e#ective to routinely devote a significant portion of the systems engineering e#ort to formalizing most of the domain knowledge. Altho# argues that ....

D. Richards and P. Compton, "Combining formal concept analysis and ripple down rules to support the reuse of knowledge", in SEKE '97: Proc. 1997 Conf. on Software Eng. & Knowledge Eng.

....Preston environment does not include KM facilities beyond rapid acquire (x3.1. 1) 970 ffl An RDR tree is not compatible with other common representation types (e.g. isa hierarchies, statecharts) Consequently, an RDR tree cannot be initialised from pre existing domain knowledge (but see Richards [96] and Lee [59] for experiments in reverse engineering classification hierarchies and causal data flows from an RDR tree) 975 ffl RDR cannot process meta knowledge such as KL B PSMs. RDR is focused on the details of the specific case at hand. PSMs may not be page 48 of 73 2 c x2 null d : d0. c ....

D. Richards and P. Compton. Combining Formal Concept Analysis and Ripple Down Rules to Support the Reuse of Knowledge. In SEKE '97: Proceedings of 1997 Conf. on 1585 Software Eng. & Knowledge Eng, Madrid, 1997.

....the Preston environment does not include KM facilities beyond rapid acquire (x4.1. 1) ffl An RDR tree is not compatible with other common representation types (e.g. isa hierarchies, statecharts) Consequently, an RDR tree cannot be initialised from pre existing domain knowledge (but see Richards [102] and 1085 Lee [62] for experiments in reverse engineering classification hierarchies and causal data flows from an RDR tree) ffl RDR cannot process meta knowledge such as KL B PSMs. RDR is focused on the details of the specific case at hand. PSMs may not be expressible with respect to the ....

D. Richards and P. Compton. Combining Formal Concept Analysis and Ripple Down Rules to Support the Reuse of Knowledge. In SEKE '97: Proceedings of 1997 Conf. on 1795 Software Eng. & Knowledge Eng, Madrid, 1997.

....with RDR. The RDR representation is optimised for maintenance, not human reflection. Consequently, they are hard to read. Various techniques have been explored for reverse engineering a browsable model from an RDR tree. Lee extracts casual models from RDRs [26] Richards extracts exception graphs [55]; and Edwards explores reflection tools for RDR trees [14] None of these approaches allow the knowledge engineer to initialise the RDR trees with existing knowledge. In our approach, knowledge engineers can write text files like Figure 6 and Figure 10 and then check them into the maintenance ....

D. Richards and P. Compton. Combining Formal Concept Analysis and Ripple Down Rules to Support the Reuse of Knowledge. In SEKE '97: Proceedings of 1997 Conf. on Software Eng. & Knowledge Eng, Madrid, 1997.

....use an exception structure for knowledge representation, as shown in Figure 5. However, it is claimed that using FCA a T Box1 can be generated from any A Box2 that can be converted into a decision table. For a discussion on how the conversion is achieved and an introduction to FCA and MCRDR see [15]. However, the use of FCA extends beyond MCRDR KBS. As an example of how a knowledge representation other than MCRDR can be analysed using FCA, in Section 2 a CLIPS rule base is converted into a decision table (cross table) and a line diagram produced to describe the knowledge. Section 3 considers ....

Richards, D and Compton, P, (1997) Combining Formal Concept Analysis and Ripple Down Rules to Support the Reuse of Knowledge Proceedings Software Engineering Knowledge Engineering SEKE'97, Madrid 18-20 June 1997, 177-184.

....of ideas from Formal Concept Analysis (FCA) Wille 1982) into RDR it is now possible to automatically generate an abstraction hierarchy, which provides a domain ontology, from the low level assertions and avoids the problems associated with developing such models. The work is reported in (Richards and Compton 1997). In section 3 we will consider how the RDR approach addresses each of the identified reuse issues. The majority of reuse research is more focused on generalising so that the same approach can be used in different domains and applications. These approaches use modelling tools and a system asa ....

Richards, D and Compton, P, (1997) Combining Formal Concept Analysis and Ripple Down Rules to Support the Reuse of Knowledge Proceedings Software Engineering Knowledge Engineering SEKE'97, Madrid 18-20 June 1997, 177-184.

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D. Richards and P. Compton. Combining Formal Concept Analysis and Ripple Down Rules to Support the Reuse of Knowledge. In SEKE '97: Proceedings of 1997 Conf. on Software Eng. & Knowledge Eng, Madrid, 1997.

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