73 Result(s)
within
English
Computer Science
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
M. **gliang
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Chapter and Conference Paper
Dublin City University at CLEF 2006: Cross-Language Speech Retrieval (CL-SR) Experiments
The Dublin City University participation in the CLEF 2006 CL-SR task concentrated on exploring the combination of the multiple fields associated with the documents. This was based on use of the extended BM25F ...
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Chapter and Conference Paper
Using Goals for Flexible Service Orchestration
This paper contributes to a line of research that aims to apply agent-oriented techniques in the field of service-oriented computing. In particular, we propose to use goal-oriented techniques from the field of...
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Chapter
A New Framework for Machine Learning
The last five years have seen the emergence of a powerful new framework for building sophisticated real-world applications based on machine learning. The cornerstones of this approach are (i) the adoption of a...
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Chapter and Conference Paper
Semantic Paraphrasing for Information Retrieval and Extraction
The paper is devoted to the development of a system of synonymous and quasi-synonymous paraphrasing and its practical applications, first of all in the domain of search engine optimization and information extr...
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Chapter and Conference Paper
Survey of Business Intelligence for Energy Markets
Today, there is the need for establishing a strong relationship between Business Intelligence (BI) and Energy Markets (EM). This is crucial because of enormous and increasing data volumes generated and stored ...
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Chapter and Conference Paper
Conservative Retractions of Propositional Logic Theories by Means of Boolean Derivatives: Theoretical Foundations
We present a specialised (polynomial-based) rule for the propositional logic called the Independence Rule, which is useful to compute the conservative retractions of propositional logic theories. In this paper we...
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Chapter and Conference Paper
Relational Learning by Imitation
Imitative learning can be considered an essential task of humans development. People use instructions and demonstrations provided by other human experts to acquire knowledge. In order to make an agent capable ...
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Chapter and Conference Paper
The Role of Ontology in Modelling Autonomous Agent-Based Systems
An agent-based system is characterised by an agent’s autonomous behaviour, which behaviour is the main difference between the concepts of agent and object. Agent autonomous behaviour is the ability of an agent...
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Chapter and Conference Paper
A CBR System for Knowing the Relationship between Flexibility and Operations Strategy
Changing environments are driving firms towards the development of new techniques for the decision making process in order to fit rapidly with alterations and adjustments of the market. In this context, the re...
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Chapter and Conference Paper
RIF Centered Rule Interchange in the Semantic Web
In the Semantic Web, rule interchange has gained considerable attention. To be a general rule interchange format, RIF (Rule Interchange Format) should first support rule interchange with three important evolvi...
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Chapter and Conference Paper
Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks
Monitoring the variables of real world dynamical systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding probability distribution over th...
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Chapter and Conference Paper
Multilingual Discussion in Metaverse among Students from the USA, Korea and Japan
E-learning continues to be used as an educational tool all over the world. However, the typical e-learning systems are sometimes not enough for students to feel a close connection with others. Now engineering ...
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Chapter and Conference Paper
Coloured Petri Net Diagnosers for Lumped Process Systems
A model-based method is proposed in this paper for algorithmic generation of diagnosers in coloured Petri net (CPN) form from characteristic input-output traces obtained from a qualitative model of lumped proc...
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Chapter and Conference Paper
Emotion Recognition from Speech by Combining Databases and Fusion of Classifiers
We explore possibilities for enhancing the generality, portability and robustness of emotion recognition systems by combining data-bases and by fusion of classifiers. In a first experiment, we investigate the ...
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Chapter and Conference Paper
An Approach for the Automatic Recommendation of Ontologies Using Collaborative Knowledge
In recent years, ontologies have become an essential tool to structure and reuse the exponential growth of information in the Web. As the number of publicly available ontologies increases, researchers face the...
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Chapter and Conference Paper
Shooting at Flies in the Dark: Rule-Based Lexical Selection for a Minority Language Pair
This paper presents a set of rules which form the prototype lexical selection component of a rule-based machine translation system between two closely-related minority languages, North Sámi and Lule Sámi. Whil...
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Chapter and Conference Paper
Challenging Choices for Text Simplification
In this paper we discuss particular choices we made during the development of a rule-based syntactic text simplification system. Such choices concern 1) how to deal with adverbial phrases in order to simplify ...
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Chapter and Conference Paper
Automatic Lip Reading in the Dutch Language Using Active Appearance Models on High Speed Recordings
This paper presents our work on lip reading in the Dutch language. The results are based on a new data corpus recorded at 100Hz in our group. The NDUTAVSC corpus is to date the largest corpus build for lip rea...
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Chapter and Conference Paper
Using Properties to Compare Both Words and Clauses
There are many applications that use the semantic similarity of words to compare input to stored data, such as conversational agents. When a human thinks of a word they consider a meaning which has associated ...
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Chapter and Conference Paper
Using Predicate-Argument Structures for Context-Dependent Opinion Retrieval
Current opinion retrieval techniques do not provide context-dependent relevant results. They use frequency of opinion words in documents or at proximity to query words, such that opinionated documents containi...
