Knowledge Based Systems

Designing and implementing a Knowledge Management System (KMS) in a Virtual Enterprise is a labour intensive and risky task. Solution prototypes (Pilots) are usually built to verify system effectiveness prior to final implementation. The paper proposes a methodology to guide this Pilot specifications definition process. These guidelines support engineers and knowledge experts in collaboratively defining functionalities, services, software components and performance indicators of the prototype. The methodology has been conceived and ...

... a vice-president of O'Reilly Media Inc during a team discussion on a potential future conference about ... Web 2.0 emphasizes on micro-content, re-mixture ability and transformation of content. ... With blogs, wikis, podcasting, users can do the same thing at the same time through ...

An implemented system for on-line analysis of multiple distributed data streams is presented. The system is conceptually universal since it does not rely on any particular platform feature and uses format adaptors to translate data streams into its own standard format. The system is as powerful as possible (from a theoretical standpoint) but still efficient enough for on-line analysis thanks to its novel rule-based language (RUSSEL) which is specifically designed for efficient processing of sequential unstructured data streams. The generic concepts are applied to security audit trail analysis. The resulting system provides powerful network security monitoring and sophisticated tools for intrusion/anomaly detection. The rule-based and command languages are described as well as the distributed architecture and the implementation. Performance measurements are reported, showing the effectiveness of the approach

Identifying semantic expressions (so-called concept strings (CSs)) in multilingual corpora is an important NLP task, as it allows web search engines to define and perform semantic queries over large collection of documents. Existing web search engines in the legal domain are mainly limited to keyword search, in which the query word is matched against the textual content of the documents. This paper presents a novel framework named the Concept Strings Framework that makes use of CSs for representing the content of the documents, and for allowing semantic search over them. These CSs can consist of individual knowledge base (KB) concepts (e.g. WordNet concepts) or combination of them. In addition, this paper presents an interactive web-based toolkit, called the Template Editor that enables the creation, editing and evaluation of CSs. Experiments on two publicly available legislation websites show satisfactory results.

Currently, the most common method that tourists make decisions on selecting their preferred hotels is a data analysis from online reviews of experienced tourists to support the decision. Unfortunately, tourists must read enormous reviews in order to select the preferred hotels. This paper presents the design and development of an automatic knowledge extraction system from online hotel reviews of tourists. The proposed system focuses on a semantic analysis from hotel reviews using the ontology as a knowledge base for hotel information extraction and storing, and using the parser to solve the semantic analysis problem. In addition, we propose a fuzzy-logic based method for calculating a tourist satisfaction level with hotel services and facilities. The experimental results indicate that the semantic analysis method achieves with 88.91% of accuracy, 100% of precision and 73.56% of recall. While the satisfaction level calculation method achieves with 0.366 of MAE and 0.464 of RMSE.

Patients with diabetes use an increasing number of self-management tools in their daily life. However, health institutions rarely use the data generated by these services mainly due to (1) the lack of data reliability, and (2) medical workers spending too much time extracting relevant information from the vast amount of data produced. This work is part of the FullFlow project, which focuses on self-collected health data sharing directly between patients' tools and EHRs. The main objective is to design and implement a prototype for extracting relevant information and documenting information gaps from self-collected health data by patients with type 1 diabetes using a context-aware approach. The module should permit (1) clinicians to assess the reliability of the data and to identify issues to discuss with their patients, and (2) patients to understand the implication their lifestyle has on their disease. The identification of context and the design of the system relied on (1) 2 w...

For overcoming the limitations of traditional computer aided design platform, a framework of the Internet-based intensive product design platform (IPDP) is proposed. The structure of IPDP and the key issues regarding its implementation are introduced. Further, the mean of knowledge storage, acquisition, and representation are portrayed in detail. Based on the concept of function driven, connected artificial neural networks and

The long-term objective of our project is to develop a knowledge-based tool for Search and Rescue (SAR) operations to support a Canadian search mission coordinator in determining the likely location of a missing aircraft overland. In order to attain this objective, we used a knowledge engineering approach to acquire, structure and model SAR experts’ knowledge. This knowledge was modeled and implemented in a knowledge-based system prototype. The input to the interactive prototype consists of the known information regarding a given SAR case. Its main output is a set of scenarios describing the various hypotheses on what might have happened to the missing aircraft, why and where, the plausible routes followed, as well as the possibility area, defined as the region most likely to contain the missing aircraft. In this paper, we introduce the knowledge model, present an application example and briefly describe the prototype.