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With increasing adoption and presence of Web services, designing novel approaches for efficient Web services recommendation has become steadily more important. Existing Web services discovery and recommendation approaches focus on either perishing UDDI registries, or keyword-dominant Web service search engines, which
from large amounts of mobile network traffic data. Specifically, we create a Jaccard-based coefficient measure method to identify a proper keyword representing each mobile device model from massive unstructured textual HTTP access logs. To handle the large amount of traffic data generated from large mobile networks, this
growth of computing power. Although other analytic approaches also benefit from this trend, keyword searches of several scholarly search engines reveal that the reliance on simulation is increasing more rapidly. A descriptive analysis paints a compelling picture: simulation is frequently a researcher's preferred method for
explosion has became the main character of this age. Searching and making use of network information becomes more difficult. Therefore, automatically extraction on keyword is required. This paper uses the idea of classification to complete the task of Key-Phrase extraction, which uses SVM to build classification model and uses
actual language identification. On our bi-lingual lecture tasks the PPRLM system clearly outperforms the PPR system in various segment length conditions, however at the cost of slower run-time. By using lexical information in the form of keyword spotting, and additional language models we show ways to improve the
which follows a keyword over multiple social media platforms (e.g. Twitter, Facebook), maintaining the aggregated data in a no-SQL database. Afterwards, in order to choose the most suitable system for our application, we will analyze the no_SQL database systems, define their architecture and data model, and depending on
possible attack scenarios, as well as typical examples of corresponding vulnerabilities and countermeasures against such attacks. We also propose a keyword system for the templates, designed to filter out irrelevant scenarios.
Concurrent engineering is a keyword in today's enterprises. Almost every enterprise parallelizes its engineering processes to reach a higher efficiency in designing their products. Unfortunately, the time- and cost-saving potential of concurrent engineering cannot be used to its full capacity. In fact, design problems
traditional corpus query that generates KWIC (Keyword in Context) concordances and define the query problems. Finally, we investigate the data complexity of these querying problems and an experiment is also presented. These conclusions lay a theoretical foundation for the study of the modeling and querying of text corpora.
Domain Assets are the domain knowledge constructed according to the common requirements in the domain. In order to reuse the domain assets effectively, a domain assets search algorithm is proposed in this paper. Compared with the keyword search, this algorithm is based on semantic similarity, and the domain assets
special data record and new record model on fuzzy set are given. By calculating the membership of keyword, new fuzzy closeness functions are proposed to classify the information. Finally, examples prove that this algorithm can effectively and automatically classify input information of database, the accuracy and intelligence
As a promising web application paradigm, web services have been widely adopted as e-business solutions. However, UDDI, the discovery mechanism of Web services, has the limitation of lack of semantic inference support, and the search mechanism based on keyword and categorization information leads to a limited
In encrypted search, a server holds an encrypted database of documents but not the keys under which the documents are encrypted. The server answer keyword queries from a client with the list of documents matching the query.
Web personalization is the customization of information or services provided by the Web site according to user needs, through the knowledge of the navigational habits of users and individual interest, combined with the content and structure of Web sites. Objective of Web personalization is to provide information needed by user, without having to ask the user explicitly. In this paper we present analysis...
information can aid the learning process given a fixed amount of labeled images. In particular, we consider a scenario where keywords are associated with the training images, e.g. as found on photo sharing websites. The goal is to learn a classifier for images alone, but we will use the keywords associated with labeled and
always ignores relativity of the topic. These affect the topic discovery and topic trend. Therefore, combining with the keywords combination and Word2Vec model to strength expression of semantic information in topic clustering, this article sets weighted K-means algorithm for topic discovery. The results show our weighted K
Today, Digital Prototyping and simulation technologies are used in the development of new technical systems and widely applied in research and industry. They allow cost- and time-efficient tests in all stages of development and support decision making. The sensor simulation component represents an important aspect in many simulation scenarios, especially in robotic applications. This paper focuses...
Orebody modeling is one of the most important contents of the mine visualization. Orebody usually has complex shape,and its spatial distribution is very irregular. In the modeling process, model editing is the key step in visualization. From the perspective of software development, this paper discusses the method and progress related with the design and implementation of a 3-D orebody wire-frame modeling...
This paper presents an algebraic approach, meant to provide an access to XML (extensible markup language) components in the XML hierarchical trees. An adequate theoretical mechanism is critical for the creation of query languages that handle XML documents and is extremely important for the development and standardization of XML parsing process. The authors of this article propose an algebraic formalism...
The data production for the CDF experiment is conducted on a large Linux PC farm designed to meet the needs of data collection at a maximum rate of 40 MByte/sec. We present two data production models that exploits advances in computing and communication technology. The first production farm is a centralized system that has achieved a stable data processing rate of approximately 2 TByte per day. The...
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