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The aim of this paper is to introduce a semantic methodology using ontology in order to improve results of data mining in judicial decisions database. An intelligent and automatic method to search for sentences in lawsuits related to the one in trial is presented. A judicial ontology is built with and without rules from experts. The method can provide judiciary celerity, seeking to solve the yearning...
With the fast growth of World Wide Web 2.0, a great number of opinions about a variety of products have been published in blogs, forums, and social networks. Opinion mining tools are needed to enable users to efficiently process a large number of reviews found online, in order to determine the underlying opinions. This paper presents a new methodology for semantic modelling of the domain knowledge...
This paper considers software tools and linguistic constructions of the network simulator TRIADNS. Nowadays network applications - especially in the area of wireless networks - are becoming more and more complex which makes the design and the testing almost impossible without appropriate software. This software available to aid the user in simulating previously designed scenarios, scalable algorithms...
Accumulated provenance data about correctly constructed and successfully executed scientific workflows provides a valuable source of knowledge, which may be used and reused in new scientific experiments' design. In this paper we propose a provenance-based workflow composition approach — the opposite to package-based one, presented earlier. Processing semantic-compliant provenance data makes available...
With the continued demand for Islamic knowledge, which is mainly based on the Quran as a source of knowledge and wisdom, systems that facilitate an easy search of the content of the Quran remain a considerable challenge. Although in recent years there have been tools for Quran search, most of these tools are based on keyword search, meaning that the user needs to know the correct keywords before being...
In traditional Vector Space Model (VSM) the TF*IDF method is widely used to adjust the weight of terms in text mining. However TF*EDF can not represent the semantic information of text by neglecting the semantic relevance between terms. In this paper, an improved ontology-based VSM is presented, in which the ontology-based term similarity is used to readjust the weight of semantically related terms...
Personal Space of Information (PSI) is the whole information collection about or of the person which can be the important resource to mine personal competence, personal task and corresponding required knowledge which can be converted to the evidence of individual competence and update the competence model. This paper analysis the character of PSI and introduces the method of competence modeling automatically...
The study of similarity measurement has long been a fundamental part of natural language processing. Similarity measurement usage is increasing day by day in Information Extraction. Moreover, determining similarity measurement between two or more sets of information is facing problem in web mining. Traditional information retrieval approaches may not always find out the right match of exact concepts...
Location is the basis of location-based services. From the point of view of semantics, mining potential knowledge of locations can provide valuable information for intelligent and adaptive location application services. In this paper, location obtained by mobile positioning system is abstracted as physical location and geographic location. A new definition of semantic location is put forward by revising...
Large amount of unstructured information is much benefited for organizations if it could be analyzed and used especially to support decision-making process. It is impractical and time consuming for decision makers to manually process the ill-defined information since the standard tools available designed for structured data analysis. It motivates to devising an intelligent and automated tool to process...
Creating interaction models are most important part in the process of distributed interaction simulation system development. It is an efficient way for developing models by composition of reusable components. Most simulation system has high complexity in interaction and successful composition of models means correct in both syntactic and semantic level. In HLA, the most popular architecture and provides...
Most state-of-the-art gazetteers have many limitations when they are utilized as background knowledge in geographic information retrieval (GIR). Considering that people often use place names in GIR instead of geographic coordinates, in this paper, we propose to build a place name ontology (PNO) and implement PNO knowledge base (PNOKB) to take the place of gazetteers. PNO, which is made up of places...
Domain knowledge for Web applications is currently being made available as domain ontology with the advent of the semantic Web, in which semantics govern relationships among objects of interest (e. g., commercial items to be purchased in an e-commerce Web site). Our earlier work proposed to integrate semantic information into all phases of the Web usage mining process, for an intelligent semantics-aware...
In the active service model, the existing component retrieval method is not sufficient to meet the service requirements of intellectualization, individualization and comprehensiveness. Therefore, this paper designs a component retrieval framework for active service, proposes a component description model and component retrieval strategy based on ontology technology and assists the users to complement...
A key aspect of ubiquitous computing is using sensor networks to effectively and unobtrusively infer human activities in their environment. A typical top-down method is to first label and decompose activities as sequences of actions with certain probabilities, and then use these predefined activity models for recognition and prediction. This method, however, does not capture the internal goals of...
User-defined preferences in a natural style is useful in the pervasive computing environment, but bring a great challenge to understand. People often express conditional as well as independent preferences. We propose an ontology-based quantitative model for conditional preferences that aims to enhance the inference capacity of conditional preference statements and thus reduce users' workload. Different...
This paper first points out the importance of experience mechanism in agent mental model, as well as the non-complete autonomy of agents resulted from the non-active mental model of BDI. Then, based on non-computing paradigm and some research results from psychology, both a structural model and a dynamic model of agent's lived experience are proposed and, moreover, the related factors in the dynamic...
Semantic Web Services discovery and composition: paths along workflows Web Services allow the composition of new services on top of existing, partial ones. Using standard languages, Semantic Web Services can provide the description of their input parameters and preconditions for execution, as well as the output and effects of their execution. The availability of such descriptions demand the investigation...
In view of some critical defects existing in P2P network such as stability and security issues, a novel approach called OSREMP is proposed to evaluate the reputation based on semantic ontology, the existing reputation models mostly predict the performance of peer based on transaction history records, lacking of comprehensive consideration on the credibility of resources and various malicious acts...
Through the study on semantic similarity in e-commerce semantic search, this paper comes up with an approach for construction of upper-level ontology structure in the field of e-commerce and a new method for computation of semantic similarity between information content and concept node link distance. Semantic feature vectors of information from web pages are extracted by making use of the upper-level...
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