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Preserving important troubleshooting experience gained in industrial practice, often referred to as “tribal knowledge”, and making it readily available to be re-applied in similar situations represent a serious challenge for many companies in heavy industry. The solution is very often tied to building mental models to capture and express key latent cognitive variables. In this paper, we first attempt...
Sometimes calligraphy lovers want to generate a calligraphic plaque in style of some famous calligraphers, but some characters hadn't been written or were damaged in the long history of Chinese calligraphy. It will be a significant thing to use computer-aided synthesis technology to create calligraphic characters in the particular style. Though such kinds of research work have been done, the synthesized...
In this paper we propose a method for producing a citation summary of research articles that concentrates on the context of articles which cite the given article. Parameters for citation summary are selected in such a way that, this citation summary can be used to evaluate a qualitative citation index for the research articles. Considering some factors such as, semantic similarity between the citing...
The Internet of Things (IoT) envisions smart objects collecting and sharing data at a global scale via the Internet. One challenging issue is how to disseminate data to relevant data consumers efficiently. This article leverages semantic technologies, such as Linked Data, which can facilitate machine-to-machine communications to build an efficient stream dissemination system for Semantic IoT. The...
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,...
In this paper, after the introduction of ontology-based knowledge bases and user models, a model of recommendation agents that can query over distributed knowledge bases with heterogeneity for web-based intelligent query answering systems is proposed, and the query answering process of these agents is analyzed. Ontologies are introduced to describe the semantic information of knowledge bases in order...
The computational systems of the grid make a way in which different heterogeneous resources distributed geographically are connected in a virtual processing environment. The resource discovery is so critical in such environments. In recent years, authors have proposed different methods in the resource discovery in the grid. Recent methods have tried to decrease the discovery and update costs. Some...
As a practical and efficient technique to access XML data, keyword query approaches should address two main problems: enable users to express their query intentions accurately and provide matching algorithms to realize users' query intentions faithfully. Most of the existing researches concentrate on the second problem and the first one is always neglected. In this paper, we propose a novel XML keyword...
To improve the first word dictionary with hash structure and the reverse maximum matching segmentation algorithm, the last word dictionary based on Hash structure which records word length is designed. By utilizing the reverse maximum matching methods, it realizes the intended objective of improving the speed and reducing the ambiguities rate of word segmentation. This essay explains the design principle...
An inverted index structure of path that based on domain ontology is proposed in this paper. The all of distinct entities in domain ontology are indexed; and for each distinct entity an inverted list, storing the entity and the identifiers of the path containing the entity, and experimental results show that the index structure is more suitable for the query of multiple keywords and it can eliminate...
Merchandise search differs from general Internet search in many ways. First, the notion of a "good" answer to a query is quite different. When searching goods, the notion of a "good" answer is often defined as the "right" answer. Finding the right answer is often more difficult than finding the best answer in general Internet search. Second, Merchandise search includes...
Similarity computation is the idea that integrates knowledge of semantic similarity computation and contrary degree calculation into a unifying concept in this paper. An intelligent search engine model is designed based on the similarity computation and DotLucene. The new intelligent search engine model can understand the natural language of user, and gives the right answers to user. Finally, all...
On the basis of analyzing the basic concepts and the process of text excavation, the present study proposes some new methods in extraction of text features, deflation of characteristic collection, extraction of study and knowledge pattern, and appraisal of model quality. Meanwhile, it makes a comparison of two types of text categorization, text classifications and text cluster, and it briefly explores...
With the rapid growth of the Internet, demand for retrieving similar strings to an input string has been increasing. Edit distance is helpful to retrieve necessary information from the large amount of data; edit distance is the similarity of two strings. Moreover, an input string must be compared with all strings in a dictionary in order to retrieve similar strings by computing edit distance, and...
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