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The following topics are dealt with: semantic computing; ontology engineering and applications; machine learning and data mining; information searching and retrieval; semantic Web service and agent systems; ubiquitous computing; multimedia processing.
As business organizations have become more complicated and large-scale, so have collaboration among business partners and enterprise information integration become more common. A number of integration approaches to semantic collaboration have been addressed. Over the past few decades, ontology-based integration approaches have been the focus. Ontology is considered to be one of the typical semantic...
A concurrent engineering design environment has been devised based on semantic Web technologies. The domain knowledge of design objects can be logically expressed by OWL ontology language. Design rules regarding change management are encoded in ECA (event-condition-action) rules. The logical expressions in condition clauses of the ECA rules are reasoned with the domain knowledge expressed by OWL....
The Web ontology language (OWL) has become a W3C recommendation to publish and share ontologies on the semantic web. In order to derive hidden information (classification, satisfiability and realization) of OWL ontology, a number of OWL reasoners have been introduced. Most of reasoners use both top-down and bottom-up search for ontology classification. In this paper, we propose an enhanced method...
In this paper, for integrating of data on car parts we model information of parts that PDM system manages. Ontology of car parts applies existing ontology mapping research to integrate into car ontology. We propose a method for semantic integration of PLM object of MEMPHIS based on the integrated ontology. Through our method, we introduce C# ontology model to apply existing C# applications with ontology...
While collaborative tagging is attractive because of their easy and simple way to tag and search, tag based search suffers from no semantic descriptions for contents. Semantic Web technologies provide a new way to annotating and retrieving images. We address the problems of both folksonomy and semantic Web annotation systems for image retrieval in particular and argue that this can be improved by...
In the process of cooperative engineering design, various events occur from design units. In order to effectively manage design updates among collaborators, we use publish/subscribe mechanism. However existing publish/subscribe systems only have the simple subscription mechanism. In this paper we introduce a concurrent engineering environment where the publish/subscribe relationship can be established...
Since the existing metadata define the structure of information using non-unified semantics, syntax, and representation methods, they set a limit in the search for exact information. To address this problem, metadata for construction project information that are frequently used in the construction industry were developed in this study, for the first time in Korea, by referring to the information standard...
In the Web 2.0 Age, Web bloggers have become major Web content providers, and the volume of blogs continues to increase rapidly. Although keyword-based tags are widely used to classify submitted blogs and to search for retrieval, this keyword-based approach provides less optimal classification, leading to less satisfactory search results because this approach is not a semantic approach. To address...
This paper presents a declarative programming language SOBL for data-intensive Web applications. A SOBL program separates the application data from the composition and navigation of UI data. Static Web pages are automatically generated from UI requirements, and an executable behavior specification is derived from the behavior requirements in SOBL automatically. SOBL is employed to represent the behavior...
This research proposes an alternative approach to machine learning based ones for categorizing news articles given as in plain texts. In order to use one of machine learning based approaches for the task, documents should be encoded into numerical vectors; it causes two problems: huge dimensionality and sparse distribution. The proposed approach is intended to address the two problems. In other words,...
This research proposes a modified version of single pass algorithm which is specialized for text clustering. Encoding documents into numerical vectors for using the traditional version of single pass algorithm causes the two main problems: huge dimensionality and sparse distribution. Therefore, in order to address the two problems, this research modifies the single pass algorithm into its version...
In this paper, a new automatic personalized summarization method, which uses non-negative matrix factorization (NMF) and relevance measure (RM), is introduced to extract meaningful sentences from to retrieve documents in Internet. The proposed method can improve the quality of personalized summaries because the inherent semantics of the documents are well reflected by using the semantic features calculated...
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