Search (24 results, page 1 of 2)

0.01087906 = product of:
  0.03263718 = sum of:
    0.022217397 = weight(_text_:internet in 2733) [ClassicSimilarity], result of:
      0.022217397 = score(doc=2733,freq=2.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.1957077 = fieldWeight in 2733, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.046875 = fieldNorm(doc=2733)
    0.010419784 = product of:
      0.03125935 = sum of:
        0.03125935 = weight(_text_:22 in 2733) [ClassicSimilarity], result of:
          0.03125935 = score(doc=2733,freq=2.0), product of:
            0.13465692 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.038453303 = queryNorm
            0.23214069 = fieldWeight in 2733, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=2733)
      0.33333334 = coord(1/3)
  0.33333334 = coord(2/6)

Date

22. 3.2009 17:57:50

Theme

Internet

0.009065884 = product of:
  0.027197652 = sum of:
    0.018514499 = weight(_text_:internet in 5276) [ClassicSimilarity], result of:
      0.018514499 = score(doc=5276,freq=2.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.16308975 = fieldWeight in 5276, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5276)
    0.008683153 = product of:
      0.02604946 = sum of:
        0.02604946 = weight(_text_:22 in 5276) [ClassicSimilarity], result of:
          0.02604946 = score(doc=5276,freq=2.0), product of:
            0.13465692 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.038453303 = queryNorm
            0.19345059 = fieldWeight in 5276, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5276)
      0.33333334 = coord(1/3)
  0.33333334 = coord(2/6)

Abstract

With the rapid proliferation of Internet technologies and applications, misuse of online messages for inappropriate or illegal purposes has become a major concern for society. The anonymous nature of online-message distribution makes identity tracing a critical problem. We developed a framework for authorship identification of online messages to address the identity-tracing problem. In this framework, four types of writing-style features (lexical, syntactic, structural, and content-specific features) are extracted and inductive learning algorithms are used to build feature-based classification models to identify authorship of online messages. To examine this framework, we conducted experiments on English and Chinese online-newsgroup messages. We compared the discriminating power of the four types of features and of three classification techniques: decision trees, backpropagation neural networks, and support vector machines. The experimental results showed that the proposed approach was able to identify authors of online messages with satisfactory accuracy of 70 to 95%. All four types of message features contributed to discriminating authors of online messages. Support vector machines outperformed the other two classification techniques in our experiments. The high performance we achieved for both the English and Chinese datasets showed the potential of this approach in a multiple-language context.

Date

22. 7.2006 16:14:37

0.009065884 = product of:
  0.027197652 = sum of:
    0.018514499 = weight(_text_:internet in 2753) [ClassicSimilarity], result of:
      0.018514499 = score(doc=2753,freq=2.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.16308975 = fieldWeight in 2753, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2753)
    0.008683153 = product of:
      0.02604946 = sum of:
        0.02604946 = weight(_text_:22 in 2753) [ClassicSimilarity], result of:
          0.02604946 = score(doc=2753,freq=2.0), product of:
            0.13465692 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.038453303 = queryNorm
            0.19345059 = fieldWeight in 2753, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2753)
      0.33333334 = coord(1/3)
  0.33333334 = coord(2/6)

Date

22. 3.2009 18:50:30

Theme

Internet

0.007405799 = product of:
  0.044434793 = sum of:
    0.044434793 = weight(_text_:internet in 492) [ClassicSimilarity], result of:
      0.044434793 = score(doc=492,freq=2.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.3914154 = fieldWeight in 492, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.09375 = fieldNorm(doc=492)
  0.16666667 = coord(1/6)

Theme

Internet

0.0068999464 = product of:
  0.041399676 = sum of:
    0.041399676 = weight(_text_:internet in 2393) [ClassicSimilarity], result of:
      0.041399676 = score(doc=2393,freq=10.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.36467975 = fieldWeight in 2393, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2393)
  0.16666667 = coord(1/6)

Abstract

The rapid growth of the non-English-speaking Internet population has created a need for better searching and browsing capabilities in languages other than English. However, existing search engines may not serve the needs of many non-English-speaking Internet users. In this paper, we propose a generic and integrated approach to searching and browsing the Internet in a multilingual world. Based an this approach, we have developed the Chinese Business Intelligence Portal (CBizPort), a meta-search engine that searches for business information of mainland China, Taiwan, and Hong Kong. Additional functions provided by CBizPort include encoding conversion (between Simplified Chinese and Traditional Chinese), summarization, and categorization. Experimental results of our user evaluation study show that the searching and browsing performance of CBizPort was comparable to that of regional Chinese search engines, and CBizPort could significantly augment these search engines. Subjects' verbal comments indicate that CBizPort performed best in terms of analysis functions, cross-regional searching, and user-friendliness, whereas regional search engines were more efficient and more popular. Subjects especially liked CBizPort's summarizer and categorizer, which helped in understanding search results. These encouraging results suggest a promising future of our approach to Internet searching and browsing in a multilingual world.

0.0053446754 = product of:
  0.03206805 = sum of:
    0.03206805 = weight(_text_:internet in 3325) [ClassicSimilarity], result of:
      0.03206805 = score(doc=3325,freq=6.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.28247973 = fieldWeight in 3325, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3325)
  0.16666667 = coord(1/6)

Abstract

It is important for education in computer science and information systems to keep up to date with the latest development in technology. With the rapid development of the Internet and the Web, many schools have included Internet-related technologies, such as Web search engines and e-commerce, as part of their curricula. Previous research has shown that it is effective to use search engine development tools to facilitate students' learning. However, the effectiveness of these tools in the classroom has not been evaluated. In this article, we review the design of three search engine development tools, SpidersRUs, Greenstone, and Alkaline, followed by an evaluation study that compared the three tools in the classroom. In the study, 33 students were divided into 13 groups and each group used the three tools to develop three independent search engines in a class project. Our evaluation results showed that SpidersRUs performed better than the two other tools in overall satisfaction and the level of knowledge gained in their learning experience when using the tools for a class project on Internet applications development.

0.0053446754 = product of:
  0.03206805 = sum of:
    0.03206805 = weight(_text_:internet in 3471) [ClassicSimilarity], result of:
      0.03206805 = score(doc=3471,freq=6.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.28247973 = fieldWeight in 3471, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3471)
  0.16666667 = coord(1/6)

Abstract

The unprecedented growth of the Internet has given rise to the Dark Web, the problematic facet of the Web associated with cybercrime, hate, and extremism. Despite the need for tools to collect and analyze Dark Web forums, the covert nature of this part of the Internet makes traditional Web crawling techniques insufficient for capturing such content. In this study, we propose a novel crawling system designed to collect Dark Web forum content. The system uses a human-assisted accessibility approach to gain access to Dark Web forums. Several URL ordering features and techniques enable efficient extraction of forum postings. The system also includes an incremental crawler coupled with a recall-improvement mechanism intended to facilitate enhanced retrieval and updating of collected content. Experiments conducted to evaluate the effectiveness of the human-assisted accessibility approach and the recall-improvement-based, incremental-update procedure yielded favorable results. The human-assisted approach significantly improved access to Dark Web forums while the incremental crawler with recall improvement also outperformed standard periodic- and incremental-update approaches. Using the system, we were able to collect over 100 Dark Web forums from three regions. A case study encompassing link and content analysis of collected forums was used to illustrate the value and importance of gathering and analyzing content from such online communities.

Theme

Internet

0.005236691 = product of:
  0.031420145 = sum of:
    0.031420145 = weight(_text_:internet in 1247) [ClassicSimilarity], result of:
      0.031420145 = score(doc=1247,freq=4.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.27677247 = fieldWeight in 1247, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.046875 = fieldNorm(doc=1247)
  0.16666667 = coord(1/6)

Abstract

In this era of the Internet and distributed, multimedia computing, new and emerging classes of information systems applications have swept into the lives of office workers and people in general. From digital libraries, multimedia systems, geographic information systems, and collaborative computing to electronic commerce, virtual reality, and electronic video arts and games, these applications have created tremendous opportunities for information and computer science researchers and practitioners. As applications become more pervasive, pressing, and diverse, several well-known information retrieval (IR) problems have become even more urgent. Information overload, a result of the ease of information creation and transmission via the Internet and WWW, has become more troublesome (e.g., even stockbrokers and elementary school students, heavily exposed to various WWW search engines, are versed in such IR terminology as recall and precision). Significant variations in database formats and structures, the richness of information media (text, audio, and video), and an abundance of multilingual information content also have created severe information interoperability problems -- structural interoperability, media interoperability, and multilingual interoperability.

0.0049371994 = product of:
  0.029623196 = sum of:
    0.029623196 = weight(_text_:internet in 869) [ClassicSimilarity], result of:
      0.029623196 = score(doc=869,freq=8.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.2609436 = fieldWeight in 869, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.03125 = fieldNorm(doc=869)
  0.16666667 = coord(1/6)

Abstract

The Internet provides an exceptional testbed for developing algorithms that can improve bowsing and searching large information spaces. Browsing and searching tasks are susceptible to problems of information overload and vocabulary differences. Much of the current research is aimed at the development and refinement of algorithms to improve browsing and searching by addressing these problems. Our research was focused on discovering whether two of the algorithms our research group has developed, a Kohonen algorithm category map for browsing, and an automatically generated concept space algorithm for searching, can help improve browsing and / or searching the Internet. Our results indicate that a Kohonen self-organizing map (SOM)-based algorithm can successfully categorize a large and eclectic Internet information space (the Entertainment subcategory of Yahoo!) into manageable sub-spaces that users can successfully navigate to locate a homepage of interest to them. The SOM algorithm worked best with browsing tasks that were very broad, and in which subjects skipped around between categories. Subjects especially liked the visual and graphical aspects of the map. Subjects who tried to do a directed search, and those that wanted to use the more familiar mental models (alphabetic or hierarchical organization) for browsing, found that the work did not work well. The results from the concept space experiment were especially encouraging. There were no significant differences among the precision measures for the set of documents identified by subject-suggested terms, thesaurus-suggested terms, and the combination of subject- and thesaurus-suggested terms. The recall measures indicated that the combination of subject- and thesaurs-suggested terms exhibited significantly better recall than subject-suggested terms alone. Furthermore, analysis of the homepages indicated that there was limited overlap between the homepages retrieved by the subject-suggested and thesaurus-suggested terms. Since the retrieval homepages for the most part were different, this suggests that a user can enhance a keyword-based search by using an automatically generated concept space. Subejcts especially liked the level of control that they could exert over the search, and the fact that the terms suggested by the thesaurus were 'real' (i.e., orininating in the homepages) and therefore guaranteed to have retrieval success

0.0043639094 = product of:
  0.026183454 = sum of:
    0.026183454 = weight(_text_:internet in 1527) [ClassicSimilarity], result of:
      0.026183454 = score(doc=1527,freq=4.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.23064373 = fieldWeight in 1527, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1527)
  0.16666667 = coord(1/6)

Abstract

As the Internet becomes ubiquitous, it has advanced to more closely represent aspects of the real world. Due to this trend, researchers in various disciplines have become interested in studying relationships between real-world phenomena and their virtual representations. One such area of emerging research seeks to study relationships between real-world and virtual activism of social movement organization (SMOs). In particular, SMOs holding extreme social perspectives are often studied due to their tendency to have robust virtual presences to circumvent real-world social barriers preventing information dissemination. However, many previous studies have been limited in scope because they utilize manual data-collection and analysis methods. They also often have failed to consider the real-world aspects of groups that partake in virtual activism. We utilize automated data-collection and analysis methods to identify significant relationships between aspects of SMO virtual communities and their respective real-world locations and ideological perspectives. Our results also demonstrate that the interconnectedness of SMO virtual communities is affected specifically by aspects of the real world. These observations provide insight into the behaviors of SMOs within virtual environments, suggesting that the virtual communities of SMOs are strongly affected by aspects of the real world.

Theme

Internet

0.0037028994 = product of:
  0.022217397 = sum of:
    0.022217397 = weight(_text_:internet in 3233) [ClassicSimilarity], result of:
      0.022217397 = score(doc=3233,freq=2.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.1957077 = fieldWeight in 3233, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.046875 = fieldNorm(doc=3233)
  0.16666667 = coord(1/6)

Abstract

The importance of Intelligence and Security Informatics (ISI) has significantly increased with the rapid and largescale migration of local/national security information from physical media to electronic platforms, including the Internet and information systems. Motivated by the significance of ISI in law enforcement (particularly in the digital government context) and the limited investigations of officers' technology-acceptance decisionmaking, we developed and empirically tested a factor model for explaining law-enforcement officers' technology acceptance. Specifically, our empirical examination targeted the COPLINK technology and involved more than 280 police officers. Overall, our model shows a good fit to the data collected and exhibits satisfactory Power for explaining law-enforcement officers' technology acceptance decisions. Our findings have several implications for research and technology management practices in law enforcement, which are also discussed.

0.0037028994 = product of:
  0.022217397 = sum of:
    0.022217397 = weight(_text_:internet in 4242) [ClassicSimilarity], result of:
      0.022217397 = score(doc=4242,freq=2.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.1957077 = fieldWeight in 4242, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.046875 = fieldNorm(doc=4242)
  0.16666667 = coord(1/6)

Theme

Internet

0.0037028994 = product of:
  0.022217397 = sum of:
    0.022217397 = weight(_text_:internet in 1872) [ClassicSimilarity], result of:
      0.022217397 = score(doc=1872,freq=2.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.1957077 = fieldWeight in 1872, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.046875 = fieldNorm(doc=1872)
  0.16666667 = coord(1/6)

Theme

Internet

0.0037028994 = product of:
  0.022217397 = sum of:
    0.022217397 = weight(_text_:internet in 1880) [ClassicSimilarity], result of:
      0.022217397 = score(doc=1880,freq=2.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.1957077 = fieldWeight in 1880, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.046875 = fieldNorm(doc=1880)
  0.16666667 = coord(1/6)

Theme

Internet

0.0037028994 = product of:
  0.022217397 = sum of:
    0.022217397 = weight(_text_:internet in 2355) [ClassicSimilarity], result of:
      0.022217397 = score(doc=2355,freq=2.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.1957077 = fieldWeight in 2355, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.046875 = fieldNorm(doc=2355)
  0.16666667 = coord(1/6)

Theme

Internet

0.00308575 = product of:
  0.018514499 = sum of:
    0.018514499 = weight(_text_:internet in 1615) [ClassicSimilarity], result of:
      0.018514499 = score(doc=1615,freq=2.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.16308975 = fieldWeight in 1615, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1615)
  0.16666667 = coord(1/6)

0.00308575 = product of:
  0.018514499 = sum of:
    0.018514499 = weight(_text_:internet in 142) [ClassicSimilarity], result of:
      0.018514499 = score(doc=142,freq=2.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.16308975 = fieldWeight in 142, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.0390625 = fieldNorm(doc=142)
  0.16666667 = coord(1/6)

Theme

Internet

0.00308575 = product of:
  0.018514499 = sum of:
    0.018514499 = weight(_text_:internet in 3452) [ClassicSimilarity], result of:
      0.018514499 = score(doc=3452,freq=2.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.16308975 = fieldWeight in 3452, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3452)
  0.16666667 = coord(1/6)

Theme

Internet

0.00308575 = product of:
  0.018514499 = sum of:
    0.018514499 = weight(_text_:internet in 4980) [ClassicSimilarity], result of:
      0.018514499 = score(doc=4980,freq=2.0), product of:
        0.11352337 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.038453303 = queryNorm
        0.16308975 = fieldWeight in 4980, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4980)
  0.16666667 = coord(1/6)

Theme

Internet

0.0020444603 = product of:
  0.012266762 = sum of:
    0.012266762 = product of:
      0.036800284 = sum of:
        0.036800284 = weight(_text_:29 in 3922) [ClassicSimilarity], result of:
          0.036800284 = score(doc=3922,freq=2.0), product of:
            0.13526669 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.038453303 = queryNorm
            0.27205724 = fieldWeight in 3922, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.0546875 = fieldNorm(doc=3922)
      0.33333334 = coord(1/3)
  0.16666667 = coord(1/6)

Date

21. 7.1999 13:48:29