XML Declarative Description: a language for the Semantic Web

Wuwongse, Vilas; Anutariya, Chutiporn; Akama, Kiyoshi; Nantajeewarawat, Ekawit

doi:10.1109/5254.940027

Cited by 57 publications

(30 citation statements)

References 8 publications

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“…This implies that the logic trees developed in the previous Section determine the set of rules for the evidence that is collected to match the phenomenon sought, rather than use in the mechanical attributes of the structures which are causative of that phenomenon. Such logic can be defined as declarative semantics (Wuwongse et al 2001;Brain et al 2009). Although the traditional logic trees can be useful to establish the links between a large set of phenomena and specific occurrences to a particular mechanism, they are nested and cumbersome from the point of view of programming.…”

Section: Answer Set Programming For the Identification Of The Collapsmentioning

confidence: 99%

LOG-IDEAH: LOGic trees for identification of damage due to earthquakes for architectural heritage

Novelli

D’Ayala

2014

Bull Earthquake Eng

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In the framework of PERPETUATE, LOG-IDEAH: "LOGic trees for Identification of Damage due to Earthquakes for Architectural Heritage" has been developed as a post-earthquake assessment tool for the evaluation of the global seismic performance of architectural assets (AAs). LOG-IDEAH is an expert system which interprets the seismic damage collected on site by relying on the knowledge of engineers and architects in seismic vulnerability assessment. The present expert system has been set up on logic trees, implemented in answer set programming to encode the recognition process that surveyors proceed to investigate the causes of damage and to evaluate the failures occurring on an AA. LOG-IDEAH, available at (http://perpetuate.cs.bath.ac.uk/), allows sketching AAs, recording the state of damage, uploading GPS referenced images and comparing collapse mechanisms observed on site with collapse mechanisms identified by the system. The seismic damage, which is the minimum data required by LOG-IDEAH, is collected at the level of both structural elements and artistic assets (local level) and interpreted at the level of the AA (global level). The answer set programming applied for the construction of the machine-processable representation, once the input data has been recorded into the web-interface, provides all possible failure modes and related possibilities of occurrence by taking into consideration the reliability level of the collected data. Its capability has been validated by applying LOG-IDEAH to the historic centre of L'Aquila of the 2009 earthquake by pointing out that answer set programming is a valid alternative approach to the existing methods developed to identify the seismic performance of masonry AAs.

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Section: Answer Set Programming For the Identification Of The Collapsmentioning

confidence: 99%

LOG-IDEAH: LOGic trees for identification of damage due to earthquakes for architectural heritage

Novelli

D’Ayala

2014

Bull Earthquake Eng

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“…By employing XML Declarative Description (XDD) theory [19], combiSQORE retrieval engine executes such query by semantically evaluating it against the ontology database, which comprises a collection of candidate ontologies and a set of rules defining ontology axiomatic semantics. By incorporating these rules, implicit information about classes/properties in a query and an ontology can be derived, and hence enabling semantic query evaluation.…”

Section: Combisqore System Architecturementioning

confidence: 99%

combiSQORE: A Combinative-Ontology Retrieval System for Next Generation Semantic Web Applications

Ungrangsi

Anutariya

Wuwongse

2008

IEICE Transactions on Information and Systems

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SUMMARY In order to timely response to a user query at run-time, next generation Semantic Web applications demand a robust mechanism to dynamically select one or more existing ontologies available on the Web and combine them automatically if needed. Although existing ontology retrieval systems return a lengthy list of resultant ontologies, they cannot identify which ones can completely meet the query requirements nor determine a minimum set of resultant ontologies that can jointly satisfy the requirements if no single ontology is available to satisfy them. Therefore, this paper presents an ontology retrieval system, namely combiSQORE, which can return single or combinative ontologies that completely satisfy a submitted query when the available ontology database is adequate to answer such query. In addition, the proposed system ranks the returned results based on their semantic similarities to the given query and their modification (integration) costs. The experimental results show that combiSQORE system yields practical combinative ontologies and useful rankings.

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“…[2,14] which comprises four main components: i) a semantic query, ii) a retrieval engine, iii) an ontology database, and iv) a semantic lexical database. It employs XML Declarative Description (XDD) theory [15] as its theoretical foundation for modeling ontology databases and evaluating semantic queries, which does not only facilitate ontology matching and retrieval, but also support reasoning capability to enhance the matching results. Furthermore, when a query term and an ontology term do not exactly match (=), it determines other possible semantic relations between them (i.e.…”

Section: Related Workmentioning

confidence: 99%

combiSQORE: An Ontology Combination Algorithm

2007

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Abstract. Automatic knowledge reuse for Semantic Web applications imposes several challenges on ontology search. Existing ontology retrieval systems merely return a lengthy list of relevant single ontologies, which may not completely cover the specified user requirements. Therefore, there arises an increasing demand for a tool or algorithm with a mechanism to check concept adequacy of existing ontologies with respect to a user query, and then recommend a single or combination of ontologies which can entirely fulfill the requirements. Thus, this paper develops an algorithm, namely combiSQORE to determine whether the available collection of ontologies is able to completely satisfy a submitted query and return a single or combinative ontology that guarantees query coverage. In addition, it ranks the returned answers based on their conceptual closeness and query coverage. The experimental results show that the proposed algorithm is simple, efficient and effective.

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XML Declarative Description: a language for the Semantic Web

Abstract: An informal introduction XDD 7 is a language that enables representation of

Cited by 57 publications

References 8 publications

LOG-IDEAH: LOGic trees for identification of damage due to earthquakes for architectural heritage

LOG-IDEAH: LOGic trees for identification of damage due to earthquakes for architectural heritage

combiSQORE: A Combinative-Ontology Retrieval System for Next Generation Semantic Web Applications

combiSQORE: An Ontology Combination Algorithm

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