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The content of a text is mainly defined by keywords and named entities occurring in it. In particular for news articles, named entities are usually important to define their semantics. However, named entities have ontological features, namely, their aliases, types, and identifiers, which are hidden from their textual
Office applications are becoming a major pillar of today's organizations since they are used to edit a vast amount of digital documents. Finding these office documents in large databases that fit users' needs is becoming increasingly important. Traditional search tools that employ keyword and phrase matching between
comparison features in real time. In addition the img(Rummager) application can execute a hybrid search of images from the application server, combining keyword information and visual similarity. Also img(Rummager) supports easy retrieval evaluation based on the normalized modified retrieval rank (NMRR) and average precision
generally have problems on keyword-search problem. In this paper, we proposed an initial model to solve the problem by using Case-Based Reasoning (CBR) and Formal Concept Analysis (FCA). For the proposed model, a case base is created to represent design patterns. FCA is used to be case organization that analyze case base for
quotation), payment system, guest's propaganda participation, keyword search-tendering and concentration degree in order form,so this article proposes the fuzzy rejection analysis method,which study the different manufacturer, the different transportation , the different marketing channel for multi-objective decision making
XML employs a tree-structured model for representing data, and queries over XML documents are typically represented as twig patterns. At the same time, keyword search over XML documents has been well studied because of its intuitive and friendly query interface. Consequently, XQuery Full-Text emerges as a full-text
quotation), payment system, guest's propaganda participation, keyword search-tendering and concentration degree in order form,so this article proposes the fuzzy rejection analysis method,which study the different manufacturer, the different transportation , the different marketing channel for multi-objective decision making
approach, personal data are uniformly represented in a single data model proposed in this paper, and stored in a data warehousing system based on a storage model corresponding to the data model. Then, users are enabled to easily retrieve all their personal information by using keywords or a semi-structured query language.
Graph is a general data model which is applicable to complex data structures. Hence, there are lots of data which can be expressed using graph data models. For example, Web, social networking services, bibliographic database, and Linked Open Data. Since such graph data can be heterogeneous, users are imposed a huge burden on searching over the graph data to find desired sub graphs. Faceted search...
information is especially important. Keyword-search, a de-facto standard to search over Electronic Health Records (EHR), being simple and therefore popular technique, however, is not ideal and often returns either too many irrelevant or too few relevant search results. Clinicians, usually very short on time, just cannot afford
Software developers currently find design patterns through search tools for solving software design problem. However, these search tools still have keyword-search problem. In this paper, we introduce the elementary idea to improve the design pattern retrieval tool. We propose the combination of case based reasoning
Most of the current framework for Web services is based on keyword matching. Web services which contain semantics multiplicity still cannot realize service discovery and bind automatically. To solve the lack of efficient discovery mechanism for Web service, a semantic Web technology based Web services discovery
While the problem to find needed information on the Web is being solved by the major search engines, access to the information in large text documents (e-books, conference proceedings, product manuals, etc) is still very rudimentary. Thus, keyword-search is often the only way to find the needle in the haystack. There
, path length, landing position and fixation direction are extracted for classification purposes. Five categories of reading pattern have been defined and investigated in this study, namely, speed reading, slow reading, in-depth reading, skim-and-skip, and keyword spotting. We have recruited thirty subjects to participate
Nowadays the famous search engine companies are all providing the keyword web search capabilities. No one provides the high accurate & efficient user-requirements-oriented information Services. The task-focused massive multi-source heterogeneous information sharing & utilizing method and system is introduced
web service and not missing the relevant web service are the two complex issues to be addressed in service discovery process. Since the keyword search doesn't bear the underlying semantics and unable to articulate the search query accurately, operation based search has been introduced. The discovery process is matured
Reusing software components (e.g. classes or modules) improves software quality and developer's productivity. Unfortunately, developers may miss many reusing opportunities since current keyword based component search systems cannot provide reusable components if the developers do not use them. This paper proposes a
Research on cross-language information retrieval (CLIR) increasingly concentrates in candidate translation selection of the keywords in the query. The accuracy of translation has a direct impact on accurate rate and recalled rate. This thesis presents three methods based on HowNet to resolve query translation
challenges in an encrypted audit log are speed of log and search process, correctness and semantic of search results and log size. In this paper a novel algorithm in order to build a secure searchable encrypted audit log by generating a record authenticator is presented. SQL command keywords along with their places, form record
distributed inverted index by concept for documents. Based on them, semantic search is implemented with inference technique of Description Logic between concept descriptions of documents and query. Simulation experiments show that our approach is much higher on retrieval perform than traditional method of literal keywords
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