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In W3C's Rule Interchange Format (RIF), F-Logic rules have received considerable attention as a major logical rule formalism, while combinations of rules with Description Logic (DL) ontologies in RIF, let alone with F-Logic rules, are far less developed. To mend this, we first present F-Logic# knowledge bases, a framework based on the semantics of the well-investigated dl-programs, that provides a...
This paper presents a new type of digital repositories based on a hybrid organizational structure that leverages the potential of domain specific collaborative tagging in combination with a taxonomy-driven classification. It is exemplified in Linked Course - a repository prototype for collaborative development, sharing and reuse of learning resources equipped with adequate searching tools. The focus...
ASEME is an emerging Agent Oriented Software Engineering (AOSE) methodology. The Model-Driven Engineering (MDE) paradigm encourages software modelers to automate the transition of one type of software model to another and eventually the code generation process. This paper builds on previous work that describes the model-driven development of agent systems using ASEME and creating a Platform Independent...
Auditing Information Systems Security is difficult and becomes crucial to ensure the daily operational activities of organizations as well as to promote competition and to create new business opportunities. A conceptual security framework to manage and audit Information System Security is proposed and discussed. The proposed framework is based on a conceptual model approach, based on the ISO/IEC_JCT1...
Ever increasing efforts are spent in developing techniques and tools for a full exploitation of semantics in mobile environments, able to overcome volatility and resource limitations of mobile contexts. This paper presents a platform-independent mobile semantic discovery framework as well as a working prototypical implementation which enables advanced knowledge-based services taking into account user's...
We argue that it is more practical to address the ontology mapping self-tuning problem in a whole system context instead of in a single matcher context. In this paper we introduce RMOMS, a Reference Model for Ontology Mapping Systems, consisting of six parts, the Preprocessor, the Dispatcher, the Matcher(s), the Aggregator, the Pruner, and the User Interface, with which to disassemble the self-tuning...
This paper describes an NLP-based Chinese ontology construction platform developed by the authors. The construction platform is developed based on the open source project Protégé. The paper mainly focuses on two key technologies of automatic construction of ontology-the extraction of attribute value and the automatic generation of ontology hierarchy structure. The paper then introduces how the automatic...
Mining consumer-generated text can provide business intelligence to organizations by extracting important knowledge trapped in the form of opinions, thoughts, and ideas expressed by their employees and customers on various aspects relevant to business. The key challenge here is to extract and organize relevant information from noisy text in order to effectively transform it to actionable intelligence...
Representing web data into a machine understandable format is a curtail task for the next generation of the web. Most of current web pages are dynamic pages. A large percentage of these web pages get their contents from underlying database. This work proposes an approach to represent dynamic web pages into Concept Description Language (CDL) semantic format. This format does not depend on ontologies...
In this paper, we present a few innovative techniques for visualization of content and contextual information of a multimedia digital library for effective browsing. A traditional collection visualization portal often depicts some metadata or a short synopsis, which is quite inadequate for assessing the documents. We have designed a novel web portal that incorporates a few preview facilities to disclose...
The quality of discovered patterns is important for relevance feature discovery in text documents because frequent pattern mining often produces many noisy patterns. In this paper, we propose a novel method for the summarization of discovered patterns in text documents, finding a smaller number of specific patterns for representing the large number of discovered patterns for a given topic. We also...
Rich information is scattered under Indonesian Choral Lovers (ICL) mailing list and many of its members prefer posting a query-mail to using the available search engine. A text retrieval system based on ontology is then proposed. However, considering the continual number of emails, developing an automatic ontology constructor (OC) will be the focus of the study while the retrieval system becomes an...
This position paper describes the challenges related to federated enterprise search over heterogeneous product information sources. It focuses on the aspect of finding relevant information sources w.r.t. the user's information need and identifies core research questions with regards to the design and implementation of a potential solution, based on Semantic Web techniques.
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