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Most approaches towards automatic evaluation of free text answers are keyword centric. Though keywords essentially reflect and represent the primary concept coverage of an answer, they are incomplete without the associated texts. The words occurring before and after the keywords bring out the true meaning. The work presented in this paper proposes a semantic similarity based approach for evaluation...
This paper proposes a method for contour completion of a skew-symmetry object which is partly occluded by other objects. The proposed method assumes that skew symmetry of a shape can be measured by correlation with its reflection on a no orthogonal plane. Under the assumption, the method estimates a skew-symmetry axis and a skew transverse angle, and then reflects the contour to the estimated axis...
The text-to-scene conversion is such a process that converts the input text into 3D scenes automatically based on the natural language processing. The scene layout is the basic research content and the key section of the text-to-scene conversion. It realizes the automatic layout through identifying the information about scene layout from the input text and relying on a large database of 3D models...
Semantic computing is an important task in the research of natural language processing. For the problem of the inaccurate conceptual graph matching, this paper proposed the algorithm based on Conceptual sub-Graph weight self-adjustment. Based on the in tensional logic model of Chinese concept connotation, using Recursive Conceptual Graph as knowledge representation method and combining with the computation...
Progress in computer and network capabilities and increased complexity of applications have driven hardware design practice to higher levels of abstraction. In addition, a high-level description of hardware specification is needed for architectural decisions, reuse, understanding, documentation, and communication. Poorly understood schemata can cause a range of problems, from a nonfunctional circuit...
Al-Quran knowledge representations involved classification of Al-Quran verses for providing better understanding of the readers. In the current era of social media challenges, the representation of knowledge must be understood by human and computer in order to ensure the correctness of Al-Quran semantics are persevered. Current approaches used conventional methods such as taxonomy, hierarchy or tree...
An entity based modeling technique is presented to specify organizational structures. Our context specific approach describes this kind of structures with communication and information domains. Environmental factors differentiate a system of communicators. The model components are defined with their semantical interactions and applied in a detailed example for an operational structure with informational...
A Layered Hidden Markov Model (LHMM) has been usually used for recognizing various human activities. In such a LHMM, the performance tends to be improved than that of a single layered HMM. To further enhance the performance of such a LHMM, in this paper, we propose a brain-inspired feedback mechanism. For this achievement, the LHMM is first modeled using a set of training data that the semantic information...
Computer controlled machinery is perceived as a cyber-physical system. Such systems are vulnerable to cyber attacks of ever-growing sophistication with potentially severe consequences. To address this threat advanced security/status monitoring measures are to be developed and deployed within the framework of industrial control systems. A system diagnostic approach based on modeling and assessment...
Information searching over unstructured P2P network like CHORD, KADEMILLA, PASTRY mainly use literal matching words occurrence in documents with those present in users queries. This process of searching does not deal with the semantics and semantic relationships of words. In this paper, we resolve this problem by proposing a Scheme to search information semantically over unstructured P2P network,...
Search engines have become the main way for people to get expected information, most of them are based on keyword search. However, keyword search is based on computing the similarity of letters of the keywords, instead of semantic meaning, therefore the searching results often include irrelevant information to user intention. This paper aims to find a way on improving keyword search efficiency. Using...
The hierarchy of human knowledge is categorized at the levels of data, information, knowledge, and intelligence. For instance, given an AND-gate with 1,000-input pins, it may be described very much differently at various levels of perceptions in the knowledge hierarchy. At the data level on the bottom, it represents a 21,000 state space, known as ‘big data’ in recent terms, which appears to be a big...
The complex network theory is widely used in the field of keyword extraction. Through analyzing the insufficient of keyword extraction algorithms using traditional complex network, this paper proposes a new method to extract Chinese keyword based on semantically weighted network. On the basis of K-nearest neighbor coupling network, we build semantically weighted network according to the co-occurrence...
Preparation of a training image dataset used for the genetic object recognition system needs a lot of costs. Some datasets were recently created from Web image sharing services like Flickr, but examples which utilize a semantic classification or information of tags given to photos are quite few. This paper proposes an automatic generation method of an image dataset by introducing semantics of each...
Spatial arrangements of people in a photo reflect how people regard themselves in a group. Comparing spatial arrangements of subjects in two group photos can help computer understand similar social semantics and events. In this paper, we incorporate gender information with spatial arrangements of subjects to assess the visual similarity between two group photos. For each group photo, detected faces...
While Internet is experiencing a drastic change, semantic representation study becomes more and more important in electronic business and enterprise systems. To semantically represent information resources, this paper proposes a novel Sign Description Framework, which is an abstract specification that represents any object in reality as signs. Based on a quaternary model of sign in semiotics, the...
With the deepening research on Mongolian lexical semantic, the construction of Mongolian lexical semantic network has become the bright and hot spots in which the current scholars study, in recent years, many scholars have explored much in Mongolian Noun semantic and made great academic achievements, in view of the fact that the urgent need of Mongolian semantics knowledge research, the research on...
The Internet has become a place where massive amounts of information and data are being generated every day. This information is most of the times stored in a non-structured way, but the times it is structured in databases it cannot be retrieved by using easy fuzzy queries. Being the information in the database the distance to the city center of some restaurants (and their names) by easy fuzzy queries...
The Semantic Web is an extension of the current World Wide Web, and aims to help computers to understand and process web information automatically. In recent years, the integration ontologies and rules has become a central topic in the Semantic Web. Therefore, significant research efforts have focused on integration description logic programs. However, description logic programs cannot well model...
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