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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
is obtained by keyword analysis for different time periods and research field maps. The integrated method is applied on etching technology which is a material processing technology particularly important for semiconductor industry. On the basis of the results obtained in the practice of etching technology, six different
advent of Web mining (WM), which gives us a window in this area to allow the management of science and technology (S&T) becoming more convenient. In this paper, we use the keyword-based MA as the analysis vector doing the research on the role of WM on the TOA, and attempt to give the focus of future research in the
Many online or local data sources provide powerful querying mechanisms but limited ranking capabilities. For instance, PubMed allows users to submit highly expressive Boolean keyword queries, but ranks the query results by date only. However, a user would typically prefer a ranking by relevance, measured by an
could not provide effective clues to real innovation. The authors consider that the most perplexing problem during innovative thinking is to find the genuine problem of objective design; therefore, the proposed idea introducing a keyword recognition approach based on a specific keyword bank and its corresponding TRIZ
produced unsatisfactory results for the patent queries, since the inherent search systems would have come from the traditional keyword based models so that it has been inevitable to result in too many unrelated items. This has made the patent experts keep spending a lot of time to refine the results manually. We propose two
in this study. The first is a baseline approach which is based on simple keyword mapping technique. The second approach, Co-Citation Selection (CCS), is based on the collaborative filtering in which neighboring papers is selected and weighted into publication citation prediction. To compare between two approaches, we
engineering problems. To reuse previous design resolution, this paper presents a function based patent retrieval approach in which the initial keywords are represented as “verb + noun”, and then the verbs and nouns are automatically expanded into verb set and noun set using Functional Basis and WordNet. The verb
. Keywords that occur in the title of patents are classified into three categories: Approach, Goal Object, and Goal Predicate, in order to create a model of relations of title patterns. The same keywords found on the timeline interval will be analyzed and illustrated in the patent pattern which are able to depict the
used several patent databases such as USPTO, MyIPO, WIPO, and EPO to collect patents. In patent searching, we used keywords, which were derived from Islamic Finance and Banking phrase, book's title, of which its content is related to Islamic Finance and Banking, and all concepts on Islamic Finance and Banking ontology
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.
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