An architecture for fast semantic retrieval in the film heritage domain

Cobosi, Y.; Toro, Carlos; Sarasua, Cristina; Vaquero, Javier; Linaza, María Teresa; Posada, Jorge

doi:10.1109/cbmi.2008.4564957

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…With this change, we expect to improve the knowledge base efficiency, as reported in Cobos et al (2008). After this change, we will study the economical impact that this plant layout design system could have in an engineering small-to-medium enterprise (SME).…”

Section: Discussionmentioning

confidence: 94%

Preserving Virtual Engineering Knowledge Through the Product Life Cycle

Vaquero¹,

Toro²,

Graña³

2011

Cybernetics and Systems

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Virtual engineering applications (VEA) are used through the whole product life cycle (PLC) process; their complexity and pervasiveness make them an ideal scenario for development and testing of software engineering innovations. More precisely, VEAs have problems when they need to share their specific knowledge. They suffer semantic loss situations, and they hardly use any semantic tools. This work proposes a new approach to solving these kinds of problems based on semantic technologies, allowing the seamless sharing of information and knowledge between VEAs involved in a PLC scenario. This approach is validated through a plant layout design application, where several VEA can cooperate and share their knowledge, accomplishing the design task.

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Section: Discussionmentioning

confidence: 94%

Preserving Virtual Engineering Knowledge Through the Product Life Cycle

Vaquero¹,

Toro²,

Graña³

2011

Cybernetics and Systems

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“…As can be seen, it is quite important to have a good flow of information between all the modules and sub-modules of our architecture and since all the KBs are modeled as ontologies, the most natural approach in order to enhance the massive use of queries over such KB was to develop a technique that provides us with a mechanism that save time by accessing the KB only when needed. The RO concept was introduced in [8] and the concept was also used by Cobos et.al in [16].…”

Section: The Reasoning Modulementioning

confidence: 98%

An Architecture for the Semantic Enhancement of Virtual Engineering Applications

Toro

Graña

Posada

et al. 2009

Intelligent Systems for Knowledge Management

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Abstract. Virtual Engineering (VE) is defined as the integration of geometric models and related engineering tools (such as analysis, simulation, optimization and decision-making, etc), within a computerized environment that facilitates multidisciplinary and collaborative product development [1]. The focus of Virtual Engineering is to engage the human capacity for evaluation of complex systems and situations [2]. In this article, we present an architecture for the Semantic enhancement of Virtual Engineering Applications (VEA) through their embedded Virtual Engineering Tools. Our architecture follows a UserIntention-Domain schema and makes use of state of the art technologies like the Set of Experience Knowledge Structure and the Reflexive Ontologies in order to offer a better User experience with VEA. The main advantages of using Semantics in VEA can be summarized are: (i) an improved information and embedded Knowledge management, (ii) Enhancements in the search, knowledge and information sharing processes during the use of the VEA, (iii) The use of the intrinsic Knowledge embedded in the elements being described by the VEA and (iv) the empowerment of the User's knowledge and embedding of such knowledge in a structured and explicit conceptualization.

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“…Therefore, it does not concentrate on some certain domain, but on the semantic web structure. Yolanda et al [7] proposed an architecture that takes advantage of the concept of Reflexive Ontologies in order to achieve timely semantic retrieval. However, it did not present the specific method of converting ontology query to database query.…”

Section: Related Workmentioning

confidence: 99%

An Ontology-Based System for Semantic Query over Heterogeneous Databases

Chen

Wang

2009

2009 WRI World Congress on Software Engineering

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with an exponential growth in the amount of information available in diverse domains, the traditional Information retrieval (IR) approaches which based on keywords can not meet the semantic needs of users. Semantic query, as an application of Semantic Web, has shown significant potential in improving the performance of IR. However, many current semantic query engines focus only on the ontology query, while in real world lots of data is stored in heterogeneous relational databases, not ontologies. So how to use semantic query to search the real information in databases has become an issue. In this paper, we explore a novel semantic search approach based on ontology, which uses SPARQL to query the Global Ontology, and realizes the final search of information in the heterogeneous relational databases through a series of query rewrite. A prototype system named 'OSEQ' has been implemented in light of this approach. And it is illustrated by a case study in the E-commerce domain.

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An architecture for fast semantic retrieval in the film heritage domain

Cited by 6 publications

References 10 publications

Preserving Virtual Engineering Knowledge Through the Product Life Cycle

Preserving Virtual Engineering Knowledge Through the Product Life Cycle

An Architecture for the Semantic Enhancement of Virtual Engineering Applications

An Ontology-Based System for Semantic Query over Heterogeneous Databases

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