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? Doesn't it understand it now? Google is very good at correcting typing mistakes, figuring out what I “meant” when I miss-typed a query or suggesting keyword to expand our search query. In this paper we redefine the idea of searching optimised information on the web using Capture-Recapture method. This paper
of ontology-aware keyword search of XML documents with a particular focus on EMR XML documents. Our current prototypes and experiments use the health level seven (HL7) clinical document architecture (CDA) Release 2.0 standard of EMR representation and the systematized nomenclature of human and veterinary medicine
The Common Criteria (CC) provides comprehensive guidelines for the evaluation and certification of IT security. Due to the complexity of CC, CC-based certification process is quite time-consuming. The research aims to develop a CC Ontology and then construct an ontology-based tool supporting CC knowledge query, markup, review, and report functions. Results of this research can improve the understandability...
users to shift through and find relevant information. The information retrievals commonly used are based on keywords. These techniques used keyword lists to describe the content of information, but one problem with such list is that they do not say anything about the symantic relationships between keywords, nor do they
to the quality of the information. Traditional search engine that uses keyword to search for information about the meaning of a word or a sentence often produce biased and irrelevant search results. Ontology has been developed to overcome this problem. In this paper an ontology framework is presented, which was
At present, there are vast amounts of information and applications available in distributed environment with heterogeneous databases, how to find them is a crucial task. An ontology-driven approach is put forward to overcome semantic heterogeneity caused by synonyms and homonyms during keyword-based search in
(UDDI) was not designed to accommodate these emerging requirements. To solve the problems of storing QoS in UDDI and aggregating QoS values, three different approaches, namely type, keyword based and ontological approaches to model QoS tModel (technical model) have been proposed. The aim is to study these approaches and
in Chinese famous CNKI database, then defined the high frequency keywords and their changes. The result indicated that 'OO', 'Modeling', 'Use case', 'Class diagram', 'Software engineering', 'Software architecture', 'XML' and so forth, are the high frequency words that gain the most attention. And concerns have increased
Most of the search engines search for keywords to answer the queries from users. The search engines usually search web pages for the required information. However they filter the pages from searching unnecessary pages by using advanced algorithms. These search engines can answer topic wise queries efficiently and
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
with different objectives, contexts, granularities, and educational values. This presents a wide range of options to the user. Due mainly to the amount of options available and the lack of qualification standards, it is difficult use keywords to select learning objects that will maximize the learning process in a
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.