The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
While most activity recognition systems rely on data-driven approaches, the use of knowledge-driven techniques is gaining increasing interest. Research in this field has mainly concentrated on the use of ontologies to specify the semantics of activities, and ontological reasoning to recognize them based on context information. However, at the time of writing, the experimental evaluation of these techniques...
We design and implement a personalized target advertisement system in iTV using ontology-based semantic relations among iTV contents for each viewer and stereotype.
There is growing interest in recent years in applying ontologies to represent disease concepts because they have the ability to depict the domain knowledge with a superior level of expressiveness and precision. Ontologies have been predominantly used to represent well-categorized disease concepts. However, there are challenges in representing the domain knowledge for heterogeneous and poorly categorized...
ICE(Intercultural Collaboration Environment) is a joint research project which is dedicated to overcoming language barriers and cultural differences, serious communication problems. But the translation tools at present are poor and the users can't understand each other very well. In order to improve mutual comprehension between users, we propose the ontology-based ICE integrating ontology, agents...
Microarray technology is a big step in bioinformatics. Hidden information within the large amounts of data provides scientists with molecular functions or essential biological meanings to study and analyze. However, these data often contain a certain portion of entities that are missing. Several methods to estimate these missing values are developed, but most of them are with disadvantages. In this...
The process planning task for given design requirements in layer-based additive manufacturing can be greatly improved by referencing a previously developed process plan along with manufacturing rules. In this paper, an ontology based knowledge modeling and reuse strategy toward process planning in additive manufacturing was proposed. Knowledge modeling included creating a design feature ontology that...
The paper is devoted to intelligent matching ontological subgraphs to concepts. The problem is considered from the point of view of rough set theory. An accuracy of approximation determines how far in a semantic space it is from a given ontological subgraph to a given concept. The approach presented in the paper can be applied to intelligent searching of a bibliographical data base for abstracts semantically...
Currently, the calculation of similarity in ontology mapping is unilateral and complicated, because of this, it has resulted in many issues such as the calculation of similarity are not reliable. In this study, we had got a new similarity algorithm for the concepts from different ontologies: we not only considered the influence of name, instance, attribute, and structure of the concepts in designing...
This paper presents a novel technique of document clustering based on frequent concepts. The proposed FCDC (Frequent Concepts based Document Clustering), a clustering algorithm works with frequent concepts rather than frequent itemsets used in traditional text mining techniques. Many well known clustering algorithms deal with documents as bag of words while they ignore the important relationship between...
Traditional information gathering systems are mostly keyword-based that are lack of semantic comprehension and analysis ability and can't guarantee the comprehensiveness and accuracy of information gathering. This paper proposes Chinese patent information gathering model based on domain ontology, which can visualize ontology concept semantic map related to user gathering requirements on the information...
Ontology integration is an important task which needs to be performed when several information systems share or exchange knowledge. We consider that most of previous methods of ontology integration merely involve blind or exhaustive matching among all concepts belonging to different ontologies. Therefore, semantic mismatches, logical inconsistencies and conceptual conflicts between ontologies are...
Question analysis is one of the important components in Question-Answering system. Since the existence of events, complex question analysis becomes extremely difficult. Using semantic role labeling based on CRFs, event extraction provides effective support to formal description for semantic information of the complex questions. The semantic model built according to this method improves the accuracy...
This paper proposes an ontology-based service discovery method to expend the accuracy of semantic query for end users, and constructs an ontology-based prototype system of service search engine. This system can better achieve the purpose of improving the performance of the service query.
Abstract-The paper presents a model to detect terrorism evidence in textual documents. The model pre-processes domain specific documents to extract the general patterns of text associated with the domain. The model then incorporates the Conditional Random Field (CRF) model for detection of sentences containing patterns of terrorism evidence. For incorporation of CRF model, the features are selected...
Along with the rapid popularity of the Internet, crime information on the web is becoming increasingly rampant, and the majority of them are in the form of text. Because a lot of crime information in documents is described through events, event-based semantic technology can be used to study the patterns and trends of web-oriented crimes. In our research project on cyber crime mining, we construct...
The scope of ontology application is widespread, but even if in the same application field the emphasis points of different applications are different, the ontology which is suitable for some applications, but is not suitable for the other applications, this paper proposes a method of constructing knowledge discovery ontology tree for different applications based on the same ontology, it enhances...
Ontology learning is from a given area document sets automatic or semi-automatic extraction terms to construct a domain ontology. Area concept extraction is one of the most important aspects in building ontology. In this paper, we proposed an improved area concept extraction algorithm. In the algorithm, we firstly employed association rule algorithm to obtain the similarity between the sememes, and...
Ontology-based documents classification method is introduced to solve the problem of classifier training and not considering semantic relations between words in traditional Machine Learning algorithms. However, previous work on ontology-based documents classification have some drawbacks on precision and run-time performance. In order to solve these problems, this paper proposes a novel ontology-based...
Computational approaches have been applied in many different biology application domains. When such tools are based on conventional computation, they have shown limitations to approach complex biological problems. In the present study, a computational evolutionary environment (CEE) is proposed as tool to extract classification rules from biological datasets. The main goal of the proposed approach...
This work presents a system for knowledge discovery from protein databases, based on an Artificial Immune System. The discovered rules have the advantage of representing comprehensible knowledge to biologist users. This task leads to a very challenging problem since a protein can be assigned multiple classes (functions or Gene Ontology (GO) terms) across several levels of the GO's term hierarchy....
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.