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How to find the teaching resources according to users' demand quickly and accurately on the Internet is urgent to be solved. This paper proposes a design of pretreatment for keyword-based search over network teaching resource database based on ontology. Firstly, the teaching ontology is created according to the
conceptual model is well defined, a set of rules for keyword searching is created to verify preciseness of output produced. The rules created in this paper will be executed on Herbal Research E-Centre prototype.
Internets are important in everyone's life like searching keyword, college, social network and online shopping, when user using the internet for searching the keyword they getting some problem. That is when user searching for the keyword for some meaning but they will get different meaning for that keyword. Because
data in the relational database into ontology. Our system supports expressive, user-centric queries such as a structured query and a keyword query, as well as a visual query. This paper shares the lessons learned from our experience on lifelog management, data migration over different data models, and ontology design.
The overall goal of an information retrieval process is to retrieve the information relevant to the given request. The information retrieval techniques commonly used are based on keywords. These techniques use keyword listed to describe the content of information, but one problem with such list is that they do not say
Allegro Graph as database and then we explain the process of modeling the ontology-based platform with the dataset of scientist knowledge of Chinese Academy of Sciences. The platform can achieve a better performance than the keyword based information retrieval.
Message Oriented Middleware (MOM) is getting popular along with the development of heterogeneous platforms and applications. Most Message Oriented Middleware supports Publish/Subscribe scheme for message interoperation and it usually matches topics directly by matching keywords. Recent Semantic Message Oriented
system. In this paper, an OntoCrawlerII based on the ontology-supported technique for webpage searching was proposed, in which scholars just need to enter some keywords and the system supported by domain ontology actively would provide comparison and verification for those keywords so as to up-rise precision rate and recall
published on the Web. However general information search engine do not support these kind of query very well. The main reasons are general information search engine treat all the query as keywords and keywords cannot completely express user's need. So in order to support spatial information query in Public health Emergence
In this paper, an OntoCrawler based on the ontology-supported technique for webpage searching was proposed, in which only user entered some keywords would the system supported by domain ontology actively provide comparison and verification for those keywords so as to up-rise precision rate of webpage searching. This
keywords, which lack the semantic data. In this paper the semantic based information retrieval methodology is proposed to get data from the web archives in a specific domain by gathering the domain relevant information with web crawler. By utilizing ontology and semantic information matched with a given user's query is used
gets answer in the form of compact text along with map for visualization purpose. This aims at developing geographic domain question answering system [QAS] embedded with mapping abilities where our system will allow users to specify a location addition to the keywords they are searching for as a query. Our system will
based on ontology. It uses the rich semantic knowledge of ontology to upgrade the retrieval based on keywords to concepts, and combines it with the specialized engine to improve retrieval effect and efficiency. The paper also takes patent information for example to explain its application at the end.
into the server. Each of the file data or Web data is viewed as a memex event that can be described by 4W1H form. The memex event ontology is used to transform the various types of data to the standard 4W1H form. Users can view their life log chronologically and search them by keywords. Moreover, the life logs can be
take advantage of the accurate description of concept as well as the definition of the relationship of the concepts, to expand keywords and improve the accuracy and recall rates.
Because of ignoring the semantic information inside the keywords, the traditional searching engine based on the key words has low recall and precision. Aiming at this, some semantic retrieval system design ideas and the retrieval process are proposed in this paper.The key technologies-related in semantic retrieval
ontologies.The web interface allows video browse, query by annotated concepts or by keywords, compressed video preview, media download and upload. The repository contains metadata annotations, which can be either manually created as ground truth or automatically generated by video surveillance systems. Their automatic annotations
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