Search (119 results, page 1 of 6)

0.24525502 = product of:
  0.49051005 = sum of:
    0.12262751 = product of:
      0.36788252 = sum of:
        0.36788252 = weight(_text_:3a in 1826) [ClassicSimilarity], result of:
          0.36788252 = score(doc=1826,freq=2.0), product of:
            0.3927445 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.046325076 = queryNorm
            0.93669677 = fieldWeight in 1826, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.078125 = fieldNorm(doc=1826)
      0.33333334 = coord(1/3)
    0.36788252 = weight(_text_:2f in 1826) [ClassicSimilarity], result of:
      0.36788252 = score(doc=1826,freq=2.0), product of:
        0.3927445 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.046325076 = queryNorm
        0.93669677 = fieldWeight in 1826, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.078125 = fieldNorm(doc=1826)
  0.5 = coord(2/4)

Source

http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja

0.12262751 = product of:
  0.24525502 = sum of:
    0.061313756 = product of:
      0.18394126 = sum of:
        0.18394126 = weight(_text_:3a in 4388) [ClassicSimilarity], result of:
          0.18394126 = score(doc=4388,freq=2.0), product of:
            0.3927445 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.046325076 = queryNorm
            0.46834838 = fieldWeight in 4388, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4388)
      0.33333334 = coord(1/3)
    0.18394126 = weight(_text_:2f in 4388) [ClassicSimilarity], result of:
      0.18394126 = score(doc=4388,freq=2.0), product of:
        0.3927445 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.046325076 = queryNorm
        0.46834838 = fieldWeight in 4388, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4388)
  0.5 = coord(2/4)

Footnote

Vgl. unter: https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=2ahUKEwizweHljdbcAhVS16QKHXcFD9QQFjABegQICRAB&url=https%3A%2F%2Fwww.researchgate.net%2Fpublication%2F271200105_Die_Autonomie_des_Menschen_und_der_Maschine_-_gegenwartige_Definitionen_von_Autonomie_zwischen_philosophischem_Hintergrund_und_technologischer_Umsetzbarkeit_Redigierte_Version_der_Magisterarbeit_Karls&usg=AOvVaw06orrdJmFF2xbCCp_hL26q.

0.03341625 = product of:
  0.0668325 = sum of:
    0.040692065 = weight(_text_:social in 3865) [ClassicSimilarity], result of:
      0.040692065 = score(doc=3865,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.22028469 = fieldWeight in 3865, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3865)
    0.026140431 = product of:
      0.052280862 = sum of:
        0.052280862 = weight(_text_:aspects in 3865) [ClassicSimilarity], result of:
          0.052280862 = score(doc=3865,freq=2.0), product of:
            0.20938325 = queryWeight, product of:
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.046325076 = queryNorm
            0.2496898 = fieldWeight in 3865, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3865)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

Epistemic communities can be understood as networks of knowledge - based experts that hold in common a set of principled and causal beliefs, have shared notions of validity, exchange knowledge, and shape, demarcate, and articulate the identities of present and future knowledge producers. In Knowledge Organization, epistemic communities have been likened to the term "domain" in the domain - analytic paradigm. Acknowledging the important role that ISKO C - US, the International Society for Knowledge Organization: Chapter for Canada and United States, plays in the international production of scientific knowledge, we aim to characterize this epistemic community based on the publications of the five North American Symposium on Knowledge Organization (NASKO) meetings proceedings. The results allow us to conclude that the ISKO C - US community is a productive, dialogical, and a continuously well - developed community with a well - balanced trajectory between an epistemological dimension, in search of its theoretical and methodological bases, and a social dimension, considering different cultural backgrounds. These aspects demarcate and shape the road for future research on knowledge organization.

0.03341625 = product of:
  0.0668325 = sum of:
    0.040692065 = weight(_text_:social in 5856) [ClassicSimilarity], result of:
      0.040692065 = score(doc=5856,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.22028469 = fieldWeight in 5856, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5856)
    0.026140431 = product of:
      0.052280862 = sum of:
        0.052280862 = weight(_text_:aspects in 5856) [ClassicSimilarity], result of:
          0.052280862 = score(doc=5856,freq=2.0), product of:
            0.20938325 = queryWeight, product of:
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.046325076 = queryNorm
            0.2496898 = fieldWeight in 5856, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5856)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

The aim of control the economic, social and environmental aspects connected to the construction of a building imposes a systematic approach for which t is necessary to make test models aimed to a coordinate analysis of different and independent performance issues. BIM technology, referring to interoperable informative models, offers a significant operative basis to achieve this necessity. In most of the cases, informative models concentrate on a product-based digital models collection built in a virtual space, more than on the simulation of their relational behaviors. This relation, instead, is the most important aspect of modelling because it marks and characterizes the interactions that can define the building as a system. This study presents the use of standard classification systems as tools for both the activation and validation of an integrated performance-based building process. By referring categories and types of the informative model to the codes of a technological and performance-based classification system, it is possible to link and coordinate functional units and their elements with the indications required by the AEC standards. In this way, progressing with an incremental logic, it is possible to achieve the management of the requirements of the whole building and the monitoring of the fulfilment of design objectives and specific normative guidelines.

0.0321699 = product of:
  0.1286796 = sum of:
    0.1286796 = weight(_text_:social in 2146) [ClassicSimilarity], result of:
      0.1286796 = score(doc=2146,freq=20.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.69660133 = fieldWeight in 2146, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2146)
  0.25 = coord(1/4)

Footnote

Vgl. Original unter: http://www.sciencedirect.com/science/article/pii/S0896627315005243: "Morais Tavares, R., A. Mendelsohn, Y.Grossman, C.H. Williams, M. Shapiro, Y. Trope u. D. Schiller: A Map for Social Navigation in the Human Brain" in. Neuron 87(2015) no.1, S,231-243. [Deciphering the neural mechanisms of social behavior has propelled the growth of social neuroscience. The exact computations of the social brain, however, remain elusive. Here we investigated how the human br ain tracks ongoing changes in social relationships using functional neuroimaging. Participants were lead characters in a role-playing game in which they were to find a new home and a job through interactions with virtual cartoon characters. We found that a two-dimensional geometric model of social relationships, a "social space" framed by power and affiliation, predicted hippocampal activity. Moreover, participants who reported better social skills showed stronger covariance between hippocampal activity and "movement" through "social space." The results suggest that the hippocampus is crucial for social cognition, and imply that beyond framing physical locations, the hippocampus computes a more general, inclusive, abstract, and multidimensional cognitive map consistent with its role in episodic memory.].

0.03106409 = product of:
  0.06212818 = sum of:
    0.032553654 = weight(_text_:social in 3876) [ClassicSimilarity], result of:
      0.032553654 = score(doc=3876,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.17622775 = fieldWeight in 3876, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.03125 = fieldNorm(doc=3876)
    0.029574523 = product of:
      0.059149045 = sum of:
        0.059149045 = weight(_text_:aspects in 3876) [ClassicSimilarity], result of:
          0.059149045 = score(doc=3876,freq=4.0), product of:
            0.20938325 = queryWeight, product of:
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.046325076 = queryNorm
            0.28249177 = fieldWeight in 3876, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.03125 = fieldNorm(doc=3876)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

Every standard embodies a particular set of values. Some aspects are privileged while others are masked. Values embedded within knowledge organization standards have special import in that they are further perpetuated by the data they are used to generate. Within libraries, descriptive catalog codes serve as prominent knowledge organization standards, guiding the creation of resource representations. Though the historical and functional aspects of these standards have received significant attention, less focus has been placed on the values associated with such codes. In this study, a critical, historical analysis of ten Anglo-American descriptive catalog codes and surrounding discourse was conducted as an initial step towards uncovering key values associated with this lineage of standards. Two values in particular were found to be highly significant: authority and universalism. Authority is closely tied to notions of power and control, particularly over practice or belief. Increasing control over resources, identities, and viewpoints are all manifestations of the value of authority within descriptive codes. Universalism has guided the widening coverage of descriptive codes in regards to settings and materials, such as the extension of bibliographic standards to non-book resources. Together, authority and universalism represent conventional values focused on facilitating orderly social exchanges. A comparative lack of emphasis on values concerning human welfare and empowerment may be unsurprising, but raises questions concerning the role of human values in knowledge organization standards. Further attention to the values associated with descriptive codes and other knowledge organization standards is important as libraries and other institutions seek to share their resource representation data more widely

0.028192293 = product of:
  0.11276917 = sum of:
    0.11276917 = weight(_text_:social in 1) [ClassicSimilarity], result of:
      0.11276917 = score(doc=1,freq=24.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.6104709 = fieldWeight in 1, product of:
          4.8989797 = tf(freq=24.0), with freq of:
            24.0 = termFreq=24.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.03125 = fieldNorm(doc=1)
  0.25 = coord(1/4)

Abstract

Social bookmarking has gained popularity since the advent of Web 2.0. Keywords known as tags are created to annotate web content, and the resulting tag space composed of the tags, the resources, and the users arises as a new platform for web content discovery. Useful and interesting web resources can be located through searching and browsing based on tags, as well as following the user-user connections formed in the social bookmarking community. However, the effectiveness of tag-based search is limited due to the lack of explicitly represented semantics in the tag space. In addition, social connections between users are underused for web content discovery because of the inadequate social functions. In this research, we propose a comprehensive framework to reorganize the flat tag space into a hierarchical faceted model. We also studied the structure and properties of various networks emerging from the tag space for the purpose of more efficient web content discovery. The major research approach used in this research is social network analysis (SNA), together with methodologies employed in design science research. The contribution of our research includes: (i) a faceted model to categorize social bookmarking tags; (ii) a relationship ontology to represent the semantics of relationships between tags; (iii) heuristics to reorganize the flat tag space into a hierarchical faceted model using analysis of tag-tag co-occurrence networks; (iv) an implemented prototype system as proof-of-concept to validate the feasibility of the reorganization approach; (v) a set of evaluations of the social functions of the current networking features of social bookmarking and a series of recommendations as to how to improve the social functions to facilitate web content discovery.

Content

A Dissertation Submitted to the Faculty of the COMMITTEE ON BUSINESS ADMINISTRATION In Partial Fulfillment of the Requirements For the Degree of DOCTOR OF PHILOSOPHY WITH A MAJOR IN MANAGEMENT In the Graduate College THE UNIVERSITY OF ARIZONA. Vgl.: http://hdl.handle.net/10150/195123. Vgl. auch: https://www.semanticscholar.org/paper/Utilizing-social-bookmarking-tag-space-for-web-a-Ram-Wei/da9e7e5ee771008b741af7176d3f0d67128d1dca.

Theme

Social tagging

0.025098871 = product of:
  0.100395486 = sum of:
    0.100395486 = sum of:
      0.06273703 = weight(_text_:aspects in 2946) [ClassicSimilarity], result of:
        0.06273703 = score(doc=2946,freq=2.0), product of:
          0.20938325 = queryWeight, product of:
            4.5198684 = idf(docFreq=1308, maxDocs=44218)
            0.046325076 = queryNorm
          0.29962775 = fieldWeight in 2946, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            4.5198684 = idf(docFreq=1308, maxDocs=44218)
            0.046875 = fieldNorm(doc=2946)
      0.03765845 = weight(_text_:22 in 2946) [ClassicSimilarity], result of:
        0.03765845 = score(doc=2946,freq=2.0), product of:
          0.16222252 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046325076 = queryNorm
          0.23214069 = fieldWeight in 2946, 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=2946)
  0.25 = coord(1/4)

Abstract

The author revisits the development of RDA from its inception in 2005 through to its initial release in 2010. The development effort is set in the context of an evolving digital environment that was transforming both the production and dissemination of information resources and the technologies used to create, store, and access data describing those resources. The author examines the interplay between strategic commitments to align RDA with new conceptual models, emerging database structures, and metadata developments in allied communities, on the one hand, and compatibility with AACR2 legacy databases on the other. Aspects of the development effort examined include the structuring of RDA as a resource description language, organizing the new standard as a working tool, and refining guidelines and instructions for recording RDA data.

Date

17. 5.2016 19:22:40

0.02441524 = product of:
  0.09766096 = sum of:
    0.09766096 = weight(_text_:social in 2957) [ClassicSimilarity], result of:
      0.09766096 = score(doc=2957,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.52868325 = fieldWeight in 2957, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.09375 = fieldNorm(doc=2957)
  0.25 = coord(1/4)

Theme

Social tagging

0.02441524 = product of:
  0.09766096 = sum of:
    0.09766096 = weight(_text_:social in 4097) [ClassicSimilarity], result of:
      0.09766096 = score(doc=4097,freq=8.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.52868325 = fieldWeight in 4097, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046875 = fieldNorm(doc=4097)
  0.25 = coord(1/4)

Abstract

A challenge of managing and extracting useful knowledge from social media data sources has attracted much attention from academic and industry. To address this challenge, semantic analysis of textual data is focused in this paper. We propose an ontology-based approach to extract semantics of textual data and define the domain of data. In other words, we semantically analyse the social data at two levels i.e. the entity level and the domain level. We have chosen Twitter as a social channel challenge for a purpose of concept proof. Domain knowledge is captured in ontologies which are then used to enrich the semantics of tweets provided with specific semantic conceptual representation of entities that appear in the tweets. Case studies are used to demonstrate this approach. We experiment and evaluate our proposed approach with a public dataset collected from Twitter and from the politics domain. The ontology-based approach leverages entity extraction and concept mappings in terms of quantity and accuracy of concept identification.

0.020346032 = product of:
  0.08138413 = sum of:
    0.08138413 = weight(_text_:social in 4424) [ClassicSimilarity], result of:
      0.08138413 = score(doc=4424,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.44056937 = fieldWeight in 4424, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.078125 = fieldNorm(doc=4424)
  0.25 = coord(1/4)

Theme

Social tagging

0.020346032 = product of:
  0.08138413 = sum of:
    0.08138413 = weight(_text_:social in 4428) [ClassicSimilarity], result of:
      0.08138413 = score(doc=4428,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.44056937 = fieldWeight in 4428, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.078125 = fieldNorm(doc=4428)
  0.25 = coord(1/4)

Theme

Social tagging

0.020141546 = product of:
  0.08056618 = sum of:
    0.08056618 = weight(_text_:social in 3770) [ClassicSimilarity], result of:
      0.08056618 = score(doc=3770,freq=4.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.43614143 = fieldWeight in 3770, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3770)
  0.25 = coord(1/4)

Abstract

Die seinerzeit 19-jährige Studentin Katrin Scheibe war 2015 Teilnehmerin an einem Seminar der Uni Düsseldorf über "Social Live"-Streaming Services und hat mit anderen Studenten zusammen eine Live-Übertragung einer Sitzung über YouNow durchgeführt. Innerhalb des rund einstündigen Programms schnellte die Zuschauerzahl auf weit über 200 hoch. Die meist jugendlichen Zuseher empfanden es als höchst interessant, eine Uni-Lehrveranstaltung hautnah miterleben zu dürfen. Ebenso waren die Studenten von dem aktuellen und zeitnahen Thema begeistert und publizierten ihre Forschungsresultate unter einem Pseudonym (Mathilde B. Friedländer) in internationalen Fachzeitschriften.

0.020141546 = product of:
  0.08056618 = sum of:
    0.08056618 = weight(_text_:social in 4592) [ClassicSimilarity], result of:
      0.08056618 = score(doc=4592,freq=4.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.43614143 = fieldWeight in 4592, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4592)
  0.25 = coord(1/4)

Abstract

Von den Informationswissenschaften, aber auch von der allgemeinen Öffentlichkeit weitgehend unbeachtet entwickelt sich zurzeit in China eine neue Art von Bewertungssystem. Social-Credit-Scoring dürfte in Deutschland nur Wenigen ein Begriff sein. Und auch in der Fachliteratur ist hierzu kaum Material zu finden. Einzig diverse internationale Online-Journals, Web-Blogs, wenige TV-Beiträge und die Fachkonferenz re:publica beschäftigen sich intensiver damit, weshalb der Begriff gelegentlich beiläufig in öffentlichen Diskursen fällt. Für die Informationswissenschaften ist dieses Thema hoch relevant. Befasst man sich eingehender damit, so stellt sich einem als Information Professional die Frage, weshalb die Fachgemeinschaft ein Thema mit solch schwerwiegenden Folgen für die Gesellschaft weitestgehend unbeachtet lässt.

0.017264182 = product of:
  0.06905673 = sum of:
    0.06905673 = weight(_text_:social in 4079) [ClassicSimilarity], result of:
      0.06905673 = score(doc=4079,freq=4.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.3738355 = fieldWeight in 4079, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046875 = fieldNorm(doc=4079)
  0.25 = coord(1/4)

Abstract

As traces of social life and material culture of the past, non-art images are carriers and prompters of memory. They are important sources for social and cultural history and, at the same time, valuable cultural heritage resources. Cultural heritage information systems (CHISs) very often rely on basic search and browsing features to provide access to information related to non-art digital images. However, these forms of access are not very helpful for non-expert or casual users, who usually move through the information space in an exploratory way. Although significant strides have been made to understand exploratory search activities, there are still some open issues when it comes to the user interface (UI). After briefly reviewing concept-based indexing techniques applied to images, this paper explores some of the questions related to UI design and provides insights into how to develop a browse-and-search framework to enhance exploratory search tasks.

0.017264182 = product of:
  0.06905673 = sum of:
    0.06905673 = weight(_text_:social in 229) [ClassicSimilarity], result of:
      0.06905673 = score(doc=229,freq=4.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.3738355 = fieldWeight in 229, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046875 = fieldNorm(doc=229)
  0.25 = coord(1/4)

Abstract

This article explores promising points of contact between philosophy and the expanding field of virtual reality research. Aiming at an interdisciplinary audience, it proposes a series of new research targets by presenting a range of concrete examples characterized by high theoretical relevance and heuristic fecundity. Among these examples are conscious experience itself, "Bayesian" and social VR, amnestic re-embodiment, merging human-controlled avatars and virtual agents, virtual ego-dissolution, controlling the reality/virtuality continuum, the confluence of VR and artificial intelligence (AI) as well as of VR and functional magnetic resonance imaging (fMRI), VR-based social hallucinations and the emergence of a virtual Lebenswelt, religious faith and practical phenomenology. Hopefully, these examples can serve as first proposals for intensified future interaction and mark out some potential new directions for research.

0.016276827 = product of:
  0.06510731 = sum of:
    0.06510731 = weight(_text_:social in 4073) [ClassicSimilarity], result of:
      0.06510731 = score(doc=4073,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.3524555 = fieldWeight in 4073, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0625 = fieldNorm(doc=4073)
  0.25 = coord(1/4)

0.014386819 = product of:
  0.057547275 = sum of:
    0.057547275 = weight(_text_:social in 470) [ClassicSimilarity], result of:
      0.057547275 = score(doc=470,freq=4.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.3115296 = fieldWeight in 470, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0390625 = fieldNorm(doc=470)
  0.25 = coord(1/4)

Abstract

With the rapidly increasing pace at which Web content is evolving, particularly social media, preserving the Web and its evolution over time becomes an important challenge. Meaningful analysis of Web content lends itself to an entity-centric view to organise Web resources according to the information objects related to them. Therefore, the crucial challenge is to extract, detect and correlate entities from a vast number of heterogeneous Web resources where the nature and quality of the content may vary heavily. While a wealth of information extraction tools aid this process, we believe that, the consolidation of automatically extracted data has to be treated as an equally important step in order to ensure high quality and non-ambiguity of generated data. In this paper we present an approach which is based on an iterative cycle exploiting Web data for (1) targeted archiving/crawling of Web objects, (2) entity extraction, and detection, and (3) entity correlation. The long-term goal is to preserve Web content over time and allow its navigation and analysis based on well-formed structured RDF data about entities.

0.014386819 = product of:
  0.057547275 = sum of:
    0.057547275 = weight(_text_:social in 4473) [ClassicSimilarity], result of:
      0.057547275 = score(doc=4473,freq=4.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.3115296 = fieldWeight in 4473, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4473)
  0.25 = coord(1/4)

Content

"Overflowing inboxes, endlessly topped up by incoming emails. Constant alerts, notifications and text messages on your smartphone and computer. Infinitely scrolling streams of social-media posts. Access to all the music ever recorded, whenever you want it. And a deluge of high-quality television, with new series released every day on Netflix, Amazon Prime and elsewhere. The bounty of the internet is a marvellous thing, but the ever-expanding array of material can leave you feeling overwhelmed, constantly interrupted, unable to concentrate or worried that you are missing out or falling behind. No wonder some people are quitting social media, observing "digital sabbaths" when they unplug from the internet for a day, or buying old-fashioned mobile phones in an effort to avoid being swamped. This phenomenon may seem quintessentially modern, but it dates back centuries, as Ann Blair of Harvard University observes in "Too Much to Know", a history of information overload. Half a millennium ago, the printing press was to blame. "Is there anywhere on Earth exempt from these swarms of new books?" moaned Erasmus in 1525. New titles were appearing in such abundance, thousands every year. How could anyone figure out which ones were worth reading? Overwhelmed scholars across Europe worried that good ideas were being lost amid the deluge. Francisco Sanchez, a Spanish philosopher, complained in 1581 that 10m years was not long enough to read all the books in existence. The German polymath Gottfried Wilhelm Leibniz grumbled in 1680 of "that horrible mass of books which keeps on growing"."

0.014386819 = product of:
  0.057547275 = sum of:
    0.057547275 = weight(_text_:social in 4551) [ClassicSimilarity], result of:
      0.057547275 = score(doc=4551,freq=4.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.3115296 = fieldWeight in 4551, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4551)
  0.25 = coord(1/4)

Source

https://www.heise.de/tp/features/Jeder-sechste-Deutsche-findet-ein-Social-Scoring-System-nach-chinesischem-Vorbild-gut-4297208.html?wt_mc=nl.tp-aktuell.woechentlich