Search (9 results, page 1 of 1)

0.031273656 = product of:
  0.06254731 = sum of:
    0.06254731 = product of:
      0.18764193 = sum of:
        0.18764193 = weight(_text_:3a in 701) [ClassicSimilarity], result of:
          0.18764193 = score(doc=701,freq=2.0), product of:
            0.5008076 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.059071355 = queryNorm
            0.3746787 = fieldWeight in 701, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.03125 = fieldNorm(doc=701)
      0.33333334 = coord(1/3)
  0.5 = coord(1/2)

Content

Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.

0.031273656 = product of:
  0.06254731 = sum of:
    0.06254731 = product of:
      0.18764193 = sum of:
        0.18764193 = weight(_text_:3a in 5820) [ClassicSimilarity], result of:
          0.18764193 = score(doc=5820,freq=2.0), product of:
            0.5008076 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.059071355 = queryNorm
            0.3746787 = fieldWeight in 5820, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.03125 = fieldNorm(doc=5820)
      0.33333334 = coord(1/3)
  0.5 = coord(1/2)

Content

Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.

0.027484883 = product of:
  0.054969765 = sum of:
    0.054969765 = product of:
      0.16490929 = sum of:
        0.16490929 = weight(_text_:objects in 117) [ClassicSimilarity], result of:
          0.16490929 = score(doc=117,freq=10.0), product of:
            0.31396845 = queryWeight, product of:
              5.315071 = idf(docFreq=590, maxDocs=44218)
              0.059071355 = queryNorm
            0.5252416 = fieldWeight in 117, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              5.315071 = idf(docFreq=590, maxDocs=44218)
              0.03125 = fieldNorm(doc=117)
      0.33333334 = coord(1/3)
  0.5 = coord(1/2)

Abstract

Information management in corporate environments is a growing problem as companies' information assets grow and their need to use them in their operations. Several management models have been practiced with application on the most diverse fronts, practices that integrate the so-called Enterprise Content Management. This study proposes a conceptual model of semantic corporate information ecosystem, based on the Universal Document Model proposed by Dagobert Soergel. It focuses on unstructured information objects, especially multimedia, increasingly used in corporate environments, adding semantics and expanding their recovery potential in the composition and reuse of dynamic documents on demand. The proposed model considers stable elements in the organizational environment, such as actors, processes, business metadata and information objects, as well as some basic infrastructures of the corporate information environment. The main objective is to establish a conceptual model that adds semantic intelligence to information assets, leveraging pre-existing infrastructure in organizations, integrating and relating objects to other objects, actors and business processes. The approach methodology considered the state of the art of Information Organization, Representation and Retrieval, Organizational Content Management and Semantic Web technologies, in the scientific literature, as bases for the establishment of an integrative conceptual model. Therefore, the research will be qualitative and exploratory. The predicted steps of the model are: Environment, Data Type and Source Definition, Data Distillation, Metadata Enrichment, and Storage. As a result, in theoretical terms the extended model allows to process heterogeneous and unstructured data according to the established cut-outs and through the processes listed above, allowing value creation in the composition of dynamic information objects, with semantic aggregations to metadata.

0.021510322 = product of:
  0.043020643 = sum of:
    0.043020643 = product of:
      0.12906192 = sum of:
        0.12906192 = weight(_text_:objects in 5496) [ClassicSimilarity], result of:
          0.12906192 = score(doc=5496,freq=2.0), product of:
            0.31396845 = queryWeight, product of:
              5.315071 = idf(docFreq=590, maxDocs=44218)
              0.059071355 = queryNorm
            0.41106653 = fieldWeight in 5496, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.315071 = idf(docFreq=590, maxDocs=44218)
              0.0546875 = fieldNorm(doc=5496)
      0.33333334 = coord(1/3)
  0.5 = coord(1/2)

0.020008383 = product of:
  0.040016767 = sum of:
    0.040016767 = product of:
      0.08003353 = sum of:
        0.08003353 = weight(_text_:22 in 3406) [ClassicSimilarity], result of:
          0.08003353 = score(doc=3406,freq=2.0), product of:
            0.20685782 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.059071355 = queryNorm
            0.38690117 = fieldWeight in 3406, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=3406)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date

30. 5.2010 16:22:35

0.017382964 = product of:
  0.03476593 = sum of:
    0.03476593 = product of:
      0.10429779 = sum of:
        0.10429779 = weight(_text_:objects in 694) [ClassicSimilarity], result of:
          0.10429779 = score(doc=694,freq=4.0), product of:
            0.31396845 = queryWeight, product of:
              5.315071 = idf(docFreq=590, maxDocs=44218)
              0.059071355 = queryNorm
            0.33219194 = fieldWeight in 694, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              5.315071 = idf(docFreq=590, maxDocs=44218)
              0.03125 = fieldNorm(doc=694)
      0.33333334 = coord(1/3)
  0.5 = coord(1/2)

Abstract

More and more information is available on-line every day. The greater the amount of on-line information, the greater the demand for tools that process and disseminate this information. Processing electronic information in the form of text and answering users' queries about that information intelligently is one of the great challenges in natural language processing and information retrieval. The research presented in this talk is centered on the latter of these two tasks: intelligent information retrieval. In order for information to be retrieved, it first needs to be formalized in a database or knowledge base. The ontology for this formalization and assumptions it is based on are crucial to successful intelligent information retrieval. We have concentrated our effort on developing an ontology for representing knowledge in the domains of experimental sciences, molecular biology in particular. We show that existing ontological models cannot be readily applied to represent this domain adequately. For example, the fundamental notion of ontology design that every "real" object is defined as an instance of a category seems incompatible with the universe where objects can change their category as a result of experimental procedures. Another important problem is representing complex structures such as DNA, mixtures, populations of molecules, etc., that are very common in molecular biology. We present extensions that need to be made to an ontology to cover these issues: the representation of transformations that change the structure and/or category of their participants, and the component relations and spatial structures of complex objects. We demonstrate examples of how the proposed representations can be used to improve the quality and completeness of answers to user queries; discuss techniques for evaluating ontologies and show a prototype of an Information Retrieval System that we developed.

0.012291612 = product of:
  0.024583224 = sum of:
    0.024583224 = product of:
      0.07374967 = sum of:
        0.07374967 = weight(_text_:objects in 2281) [ClassicSimilarity], result of:
          0.07374967 = score(doc=2281,freq=2.0), product of:
            0.31396845 = queryWeight, product of:
              5.315071 = idf(docFreq=590, maxDocs=44218)
              0.059071355 = queryNorm
            0.23489517 = fieldWeight in 2281, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.315071 = idf(docFreq=590, maxDocs=44218)
              0.03125 = fieldNorm(doc=2281)
      0.33333334 = coord(1/3)
  0.5 = coord(1/2)

Abstract

An information system like the Web is a continuously evolving system consisting of multiple heterogeneous information sources, covering a wide domain of discourse, and a huge number of users (human or software) with diverse characteristics and needs, that produce and consume information. The challenge nowadays is to build a scalable information infrastructure enabling the effective, accurate, content based retrieval of information, in a way that adapts to the characteristics and interests of the users. The aim of this work is to propose formally sound methods for building such an information network based on ontologies which are widely used and are easy to grasp by ordinary Web users. The main results of this work are: - A novel scheme for indexing and retrieving objects according to multiple aspects or facets. The proposed scheme is a faceted scheme enriched with a method for specifying the combinations of terms that are valid. We give a model-theoretic interpretation to this model and we provide mechanisms for inferring the valid combinations of terms. This inference service can be exploited for preventing errors during the indexing process, which is very important especially in the case where the indexing is done collaboratively by many users, and for deriving "complete" navigation trees suitable for browsing through the Web. The proposed scheme has several advantages over the hierarchical classification schemes currently employed by Web catalogs, namely, conceptual clarity (it is easier to understand), compactness (it takes less space), and scalability (the update operations can be formulated more easily and be performed more effciently). - A exible and effecient model for building mediators over ontology based information sources. The proposed mediators support several modes of query translation and evaluation which can accommodate various application needs and levels of answer quality. The proposed model can be used for providing users with customized views of Web catalogs. It can also complement the techniques for building mediators over relational sources so as to support approximate translation of partially ordered domain values.

0.010004192 = product of:
  0.020008383 = sum of:
    0.020008383 = product of:
      0.040016767 = sum of:
        0.040016767 = weight(_text_:22 in 1670) [ClassicSimilarity], result of:
          0.040016767 = score(doc=1670,freq=2.0), product of:
            0.20685782 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.059071355 = queryNorm
            0.19345059 = fieldWeight in 1670, 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=1670)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date

26. 9.2006 21:00:22

0.008003353 = product of:
  0.016006706 = sum of:
    0.016006706 = product of:
      0.032013413 = sum of:
        0.032013413 = weight(_text_:22 in 4399) [ClassicSimilarity], result of:
          0.032013413 = score(doc=4399,freq=2.0), product of:
            0.20685782 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.059071355 = queryNorm
            0.15476047 = fieldWeight in 4399, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03125 = fieldNorm(doc=4399)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date

20. 1.2015 18:30:22