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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...
Over the last decade, a globalization of the software industry took place, which facilitated the sharing and reuse of code across existing project boundaries. At the same time, such global reuse also introduces new challenges to the software engineering community, with not only components but also their problems and vulnerabilities being now shared. For example, vulnerabilities found in APIs no longer...
Business process patterns, or generalised reusable process models, have the potential to reduce the effort and costs of developing new business processes or re-engineering existing ones. Identifying new patterns, however, requires an analysis of existing business data to uncover commonalities of processes within and across organisations. In previous work we developed a method to extract linguistic...
Ontology has been increasingly recognised as an instrumental artifact to help make sense of large amounts of data. However, the challenges of Big Data significantly overburden the process of ontology storage and query particularly. In this respect, the paper aims to convey considerations in relation to improving the practice of storing or querying large-scale ontologies. Initially, a systematic literature...
Categories are the fundamental components of scientific knowledge and are used in every phase of the scientific process. However, they are often in a state of flux, with new observations, discoveries and changes in our conceptual understanding leading to the birth and death of categories, drift in their identities, as well as merging or splitting. Contemporary research tools rarely support such changes...
The computational cost of querying for similar entities across ontologies is high since, in the worst case, every pair of entities will have to be considered. Therefore, links discovered during ontology alignment have been used to speed up querying across ontologies by following relatedness links to discover similar entities. We derive the computational complexity of querying across ontologies using...
With the rapid development of simulation science, knowledge reuse in this domain becomes a challenge. This paper concentrates on the system design of a simulation knowledge base management system. Furthermore, a semantic matching algorithm based on ontology has also been proposed for simulation knowledge retrieval.
In this age of digital science, our scientific knowledge is fragmented into data, methods, schemas, ontology, code and workflows -- each of them largely disconnected from the others and manipulated within their own specialized tools. These tools have disaggregated our scientific knowledge and analytic processes. As a result, it is becoming much harder to decipher scholarly outcomes, much information...
Ontology Based DataBase (OBDB) is a database model that allows both ontologies, which is a formal representation of terms related to specific domain, and their instances to be stored and queried in a single database. In this paper, we propose the construction of OBDB for the development of medical system. The idea is to automatically construct OBDB using rules and used it in the construct of medical...
The changes introduced into the European Higher Education Area (EHEA) by the Bologna Process, together with renewed pedagogical and methodological practices, have created a new teaching-learning paradigm: Student-Centred Learning. In addition, the last few years have been characterized by the application of Information Technologies, especially the Semantic Web, not only to the teaching-learning process,...
The cloud computing paradigm with its pay-as-you-use business model is envisioned to provide immense benefits and promising returns. Hybrid cloud computing deployment model offers a viable solution of in-house private cloud with limited or unavailable resources on hand to meet the application requirements or at runtime. However, due to the large-scale, widely distributed and complexity of the underlying...
Nowadays the use of internet is increasing at a great speed. Eventually the data on the web is also increasing. Retrieval of useful information from such a big huge amount of data is a challenging issue. Many web information gathering systems are there which try to gather useful information from the bulks of data. The user profiles are created for this purpose which gives the user background knowledge...
Due to the fact that most of current E-learning systems have problems of insufficient personalization, this paper puts forward the idea that completes the personalized knowledge search based on the open source E-learning system, then constructs domain ontology that are used to build user interest model, and finally, this model is embedded in Notch search engine to realize the personalized knowledge...
Ontology is the foundation of the Semantic Web, and the relational database is the most current data storage method on the World Wide Web, so the ontology storage research based on relational database is the one of the main problems. In order to achieve general storage of ontology data, make it easy to use the ontology data in the following application. This paper presents a model of storing Ontology...
Discussed about construction methods of Travel Knowledge Database. Using the method of based on Ontology to construct the personalized recommendations tourism Knowledge Database. Introduced the construction principles of Travel Knowledge Database based on Ontology. Research and introduce the Skeleton method to construct the Travel Knowledge Database based on Ontology.
Considering the growth and management of fruit tree, intelligent decision management technology based on modern information technology improves the quality of fruit tree production and meets the needs of modern agriculture, agricultural information technology includes neural networks, ontology, expert system, decision support system etc, and growth model has the function which can predict and manage,...
In this paper, we provide a comprehensive survey of the methods available to (semi-)automatically generate an Ontology model from a data model. Although there are several different instantiations of database management systems in use today, the transformation methods to date have generally focused on relational data models as the prime source of the information; we therefore concentrated on this when...
This paper presents a system for automatic annotation of handwritten historical documents based on Markov models. The proposed system first extracts XML schema which describes a specific domain and than a Mapping algorithm is used for the generation of the new XML schemes. Mapping algorithm has as inputs two schemes reference schema and a specific schema. XML schemes are generated using Markov models,...
With the increase of the number of independent database applications, Large organizations are eager to an effective solution of heterogeneous and distributed databases integration. Ontology is defined as an explicit formal specification of a shared conceptualization. It can provide semantics through relations between concepts and can be widely used on heterogeneous data. This paper mainly discusses...
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...
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