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With the rapid development of the Internet and communication technology, huge data is accumulated. Short text such as conversation in chatting room and email is common in such data. It is useful to cluster such short documents to get the structure of the data or to help building other data mining applications. But most of the current clustering algorithms can not get acceptable clustering accuracy...
Efficient and effective knowledge management plays an increasingly important role in knowledge intensive organizations. The research project DYONIPOS focuses on detecting the knowledge needs of knowledge workers and automatically providing this required knowledge just in time. The prototype DYONIPOS generates new knowledge out of artefacts, while avoiding additional work and violations of the knowledge...
This paper proposes an ontology-based information content security analysis framework, which adopts artificial intelligent system designing theory and ontology engineering method to improve information content security surveillance. This framework introduces ICSO (information content security ontology), by which we incorporate disparate and heterogeneous data sources into surveillance system , and...
Large amount of experts are key asset that universities hold. In order to increase people's awareness of experts and foster collaborative opportunities, it is necessary to build an expertise repository, which enables campus and external users to identify suitable experts and their expertise. This paper proposes a methodology for constructing semantic repository of academic experts, a semantic Web...
The constraints revealed during a logical composition of services are often too abstract for automatic service composition. The abstract constraints have to be transformed to concrete attributes. This research investigates semi-automatic transformation of intermediate constraints to concrete constraints for automatic service composition. It considers simultaneously a stack of composition attributes...
Sem@ntica is a system for extracting the information contained in collections of documents into a knowledge base. It combines high quality conventional named entity analysis with an ontology class labeling capability for open class words. The ontology comprises an upper ontology and one or more domain ontologies. The system has tools for rapidly designing the ontology and mapping segments of Word...
Feature extraction of specified object is an important preprocessing stage in machine vision systems. In this paper, we present a novel hybrid feature extraction method using PCNN (Pulse Coupled Neural Network) and shape information. First, we use PCNN firing map train to formulate object’s time signature, then we use roundness of each firing map to formulate object’s shape information vector, the...
Statistical graphs are ubiquitous mechanisms for data visualization such that most, if not all, enterprises communicate information through them. However, many graphs are stored as unstructured images or proprietary binary objects, making them difficult to work with beyond the reports in which they are embedded. While graphs can be mapped to more common XML representations, these lack expressive semantics...
Since the introduction of the semantic Web idea, many tools have been developed to harvest the advantage of machine-understandable data. Ontology and metadata are the two basic enabling requirements therefore. SemanticLIFE is a personal information management system which deals with data and metadata originating from various sources. Being developed on the basis of semantic Web technology standards,...
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