Evolving Ontology Evolution

Flouris, Giorgos; Plexousakis, Dimitris; Antoniou, Grigoris

doi:10.1007/11611257_2

Cited by 38 publications

(26 citation statements)

References 16 publications

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“…Arguments in favor of this research path and some results related to its feasibility for a particular class of belief change theories, based on the AGM postulates (Alchourron et al 1985), have appeared in a series of papers (Flouris 2006), (Flouris et al 2006a), (Flouris & Plexousakis 2006), (Flouris et al 2004), , (Flouris et al 2006b). A similar, but less mature, proposal appears in (Kang & Lau 2004).…”

Section: State Of the Art In Ontology Evolutionmentioning

confidence: 93%

Ontology change: classification and survey

Flouris

Manakanatas

Kondylakis

et al. 2008

The Knowledge Engineering Review

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204

163

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Ontologies play a key role in the advent of the Semantic Web. An important problem when dealing with ontologies is the modification of an existing ontology in response to a certain need for change. This problem is a complex and multifaceted one, because it can take several different forms and includes several related subproblems, like heterogeneity resolution or keeping track of ontology versions. As a result, it is being addressed by several different, but closely related and often overlapping research disciplines. Unfortunately, the boundaries of each such discipline are not clear, as the same term is often used with different meanings in the relevant literature, creating a certain amount of confusion. The purpose of this paper is to identify the exact relationships between these research areas and to determine the boundaries of each field, by performing a broad review of the relevant literature.

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Section: State Of the Art In Ontology Evolutionmentioning

confidence: 93%

Ontology change: classification and survey

Flouris

Manakanatas

Kondylakis

et al. 2008

The Knowledge Engineering Review

Self Cite

204

163

View full text Add to dashboard Cite

show abstract

“…The concept of signature in ASM has been replaced by the concept of WSMO ontology, which involves concepts, attributes, relations, and axioms. The concept of dynamic functions in ASM has been replaced by dynamic changes of instances and their attribute values, effectively, replacing the concept of evolving algebra [15] by the concept of evolving ontology [25]. This replacement, however, has not been formally justified so far, so in Section 3.2, we prove the equivalence of evolving algebras and evolving ontologies, filling this gap.…”

Section: Asm-based Choreography In Wsmomentioning

confidence: 99%

“…In the current work, we focus on WSMO interfaces, which mainly include choreography specification and are used in the service interaction stage. Our main contributions here can be summarized as (i) rectifying the original ASMbased choreography algorithm, (ii) proposing an F-logic specification of WSMO goal and web service choreographies as an effective alternative to the current specifications in WSML [20] and OCML [21], (iii) implementing the rectified choreography algorithm in Flora-2 [22,23] with novel technics that adhere to theory of ASMs (missing in other implementations), (iv) validating the implemented Flora-2 engine through several realistic scenarios, (v) developing a visual editor to facilitate the design and deployment of semantic web services in a subset of the Flora-2 language that we adopted as our specification language, and (vi) proving the equivalence of ASMs (also known as evolving algebras [24]) and WSMO choreography specifications (commonly called evolving ontologies [25]) by providing appropriate mappings between them.…”

Section: Introductionmentioning

confidence: 99%

An Improved Abstract State Machine Based Choreography Specification and Execution Algorithm for Semantic Web Services

Ataee

Bayram

2018

Scientific Programming

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We identify significant weaknesses in the original Abstract State Machine (ASM) based choreography algorithm of Web Service Modeling Ontology (WSMO), which make it impractical for use in semantic web service choreography engines. We present an improved algorithm which rectifies the weaknesses of the original algorithm, as well as a practical, fully functional choreography engine implementation in Flora-2 based on the improved algorithm. Our improvements to the choreography algorithm include (i) the linking of the initial state of the ASM to the precondition of the goal, (ii) the introduction of the concept of a final state in the execution of the ASM and its linking to the postcondition of the goal, and (iii) modification to the execution of the ASM so that it stops when the final state condition is satisfied by the current configuration of the machine. Our choreography engine takes as input semantic web service specifications written in the Flora-2 dialect of F-logic. Furthermore, we prove the equivalence of ASMs (evolving algebras) and evolving ontologies in the sense that one can simulate the other, a first in literature. Finally, we present a visual editor which facilitates the design and deployment of our F-logic based web service and goal specifications.

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“…Flouris et al (Flouris et al, 2006) use a different approach by applying the work in belief revision theory to the field of ontology evolution. They stress that automatic and computer-based evolution instead of manual change management is necessary and desirable in many contexts, a statement which resonates well with the approach proposed in this paper.…”

Section: Related Workmentioning

confidence: 99%

Confidence Management for Learning Ontologies from Dynamic Web Sources

Wohlgenannt

Weichselbraun

Scharl

et al. 2012

Proceedings of the International Conference on Knowledge Engineering and Ontology Development

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Abstract:Dynamic environments require effective update mechanisms for ontologies to incorporate new knowledge.In this position paper we present a dynamic framework for ontology learning which integrates automated learning methods with rapid user feedback mechanism to build and extend lightweight domain ontologies at regular intervals. Automated methods collect evidence from a variety of heterogeneous sources and generate an ontology with spreading activation techniques, while crowdsourcing in the form of Games with a Purpose validates the new ontology elements. Special data structures support dynamic confidence management in regards to three major aspects of the ontology: (i) the incoming facts collected from evidence sources, (ii) the relations that constitute the extended ontology, and (iii) the observed quality of evidence sources. Based on these data structures we propose trend detection experiments to measure not only significant changes in the domain, but also in the conceptualization suggested by user feedback.

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Evolving Ontology Evolution

Cited by 38 publications

References 16 publications

Ontology change: classification and survey

Ontology change: classification and survey

An Improved Abstract State Machine Based Choreography Specification and Execution Algorithm for Semantic Web Services

Confidence Management for Learning Ontologies from Dynamic Web Sources

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