Search (8 results, page 1 of 1)

0.03769399 = product of:
  0.1005173 = sum of:
    0.052558206 = weight(_text_:supported in 1155) [ClassicSimilarity], result of:
      0.052558206 = score(doc=1155,freq=2.0), product of:
        0.22949564 = queryWeight, product of:
          5.9223356 = idf(docFreq=321, maxDocs=44218)
          0.03875087 = queryNorm
        0.22901614 = fieldWeight in 1155, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.9223356 = idf(docFreq=321, maxDocs=44218)
          0.02734375 = fieldNorm(doc=1155)
    0.03496549 = weight(_text_:work in 1155) [ClassicSimilarity], result of:
      0.03496549 = score(doc=1155,freq=6.0), product of:
        0.14223081 = queryWeight, product of:
          3.6703904 = idf(docFreq=3060, maxDocs=44218)
          0.03875087 = queryNorm
        0.24583626 = fieldWeight in 1155, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.6703904 = idf(docFreq=3060, maxDocs=44218)
          0.02734375 = fieldNorm(doc=1155)
    0.012993602 = product of:
      0.025987204 = sum of:
        0.025987204 = weight(_text_:22 in 1155) [ClassicSimilarity], result of:
          0.025987204 = score(doc=1155,freq=4.0), product of:
            0.13569894 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03875087 = queryNorm
            0.19150631 = fieldWeight in 1155, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.02734375 = fieldNorm(doc=1155)
      0.5 = coord(1/2)
  0.375 = coord(3/8)

Abstract

Metadata and semantics are integral to any information system and significant to the sphere of Web data. Research focusing on metadata and semantics is crucial for advancing our understanding and knowledge of metadata; and, more profoundly for being able to effectively discover, use, archive, and repurpose information. In response to this need, researchers are actively examining methods for generating, reusing, and interchanging metadata. Integrated with these developments is research on the application of computational methods, linked data, and data analytics. A growing body of work also targets conceptual and theoretical designs providing foundational frameworks for metadata and semantic applications. There is no doubt that metadata weaves its way into nearly every aspect of our information ecosystem, and there is great motivation for advancing the current state of metadata and semantics. To this end, it is vital that scholars and practitioners convene and share their work.
The MTSR 2013 program and the contents of these proceedings show a rich diversity of research and practices, drawing on problems from metadata and semantically focused tools and technologies, linked data, cross-language semantics, ontologies, metadata models, and semantic system and metadata standards. The general session of the conference included 18 papers covering a broad spectrum of topics, proving the interdisciplinary field of metadata, and was divided into three main themes: platforms for research data sets, system architecture and data management; metadata and ontology validation, evaluation, mapping and interoperability; and content management. Metadata as a research topic is maturing, and the conference also supported the following five tracks: Metadata and Semantics for Open Repositories, Research Information Systems and Data Infrastructures; Metadata and Semantics for Cultural Collections and Applications; Metadata and Semantics for Agriculture, Food and Environment; Big Data and Digital Libraries in Health, Science and Technology; and European and National Projects, and Project Networking. Each track had a rich selection of papers, giving broader diversity to MTSR, and enabling deeper exploration of significant topics.
All the papers underwent a thorough and rigorous peer-review process. The review and selection this year was highly competitive and only papers containing significant research results, innovative methods, or novel and best practices were accepted for publication. Only 29 of 89 submissions were accepted as full papers, representing 32.5% of the total number of submissions. Additional contributions covering noteworthy and important results in special tracks or project reports were accepted, totaling 42 accepted contributions. This year's conference included two outstanding keynote speakers. Dr. Stefan Gradmann, a professor arts department of KU Leuven (Belgium) and director of university library, addressed semantic research drawing from his work with Europeana. The title of his presentation was, "Towards a Semantic Research Library: Digital Humanities Research, Europeana and the Linked Data Paradigm". Dr. Michail Salampasis, associate professor from our conference host institution, the Department of Informatics of the Alexander TEI of Thessaloniki, presented new potential, intersecting search and linked data. The title of his talk was, "Rethinking the Search Experience: What Could Professional Search Systems Do Better?"

Date

17.12.2013 12:51:22

0.009875565 = product of:
  0.07900452 = sum of:
    0.07900452 = product of:
      0.15800904 = sum of:
        0.15800904 = weight(_text_:aufsatzsammlung in 167) [ClassicSimilarity], result of:
          0.15800904 = score(doc=167,freq=12.0), product of:
            0.25424787 = queryWeight, product of:
              6.5610886 = idf(docFreq=169, maxDocs=44218)
              0.03875087 = queryNorm
            0.62147635 = fieldWeight in 167, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              6.5610886 = idf(docFreq=169, maxDocs=44218)
              0.02734375 = fieldNorm(doc=167)
      0.5 = coord(1/2)
  0.125 = coord(1/8)

RSWK

Wissensrepräsentation / Semantisches Netz / RDF <Informatik> / OWL <Informatik> / Aufsatzsammlung
Semantic Web / Information Extraction / Suche / Wissensbasiertes System / Aufsatzsammlung
Semantic Web / Web Services / Semantische Modellierung / Ontologie <Wissensverarbeitung> / Suche / Navigieren / Anwendungsbereich / Aufsatzsammlung

Subject

Wissensrepräsentation / Semantisches Netz / RDF <Informatik> / OWL <Informatik> / Aufsatzsammlung
Semantic Web / Information Extraction / Suche / Wissensbasiertes System / Aufsatzsammlung
Semantic Web / Web Services / Semantische Modellierung / Ontologie <Wissensverarbeitung> / Suche / Navigieren / Anwendungsbereich / Aufsatzsammlung

0.009385394 = product of:
  0.07508315 = sum of:
    0.07508315 = weight(_text_:supported in 430) [ClassicSimilarity], result of:
      0.07508315 = score(doc=430,freq=2.0), product of:
        0.22949564 = queryWeight, product of:
          5.9223356 = idf(docFreq=321, maxDocs=44218)
          0.03875087 = queryNorm
        0.3271659 = fieldWeight in 430, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.9223356 = idf(docFreq=321, maxDocs=44218)
          0.0390625 = fieldNorm(doc=430)
  0.125 = coord(1/8)

Abstract

With the advance of the semantic Web, increasing amounts of data are available in a structured and machine-understandable form. This opens opportunities for users to employ semantic queries instead of simple keyword-based ones to accurately express the information need. However, constructing semantic queries is a demanding task for human users [11]. To compose a valid semantic query, a user has to (1) master a query language (e.g., SPARQL) and (2) acquire sufficient knowledge about the ontology or the schema of the data source. While there are systems which support this task with visual tools [21, 26] or natural language interfaces [3, 13, 14, 18], the process of query construction can still be complex and time consuming. According to [24], users prefer keyword search, and struggle with the construction of semantic queries although being supported with a natural language interface. Several keyword search approaches have already been proposed to ease information seeking on semantic data [16, 32, 35] or databases [1, 31]. However, keyword queries lack the expressivity to precisely describe the user's intent. As a result, ranking can at best put query intentions of the majority on top, making it impossible to take the intentions of all users into consideration.

0.008145229 = product of:
  0.06516183 = sum of:
    0.06516183 = product of:
      0.13032366 = sum of:
        0.13032366 = weight(_text_:aufsatzsammlung in 2552) [ClassicSimilarity], result of:
          0.13032366 = score(doc=2552,freq=4.0), product of:
            0.25424787 = queryWeight, product of:
              6.5610886 = idf(docFreq=169, maxDocs=44218)
              0.03875087 = queryNorm
            0.51258504 = fieldWeight in 2552, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              6.5610886 = idf(docFreq=169, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2552)
      0.5 = coord(1/2)
  0.125 = coord(1/8)

RSWK

Bibliothek / Linked Data / Benutzer / Mensch-Maschine-Kommunikation / Recherche / Suchverfahren / Aufsatzsammlung

Subject

Bibliothek / Linked Data / Benutzer / Mensch-Maschine-Kommunikation / Recherche / Suchverfahren / Aufsatzsammlung

0.006516183 = product of:
  0.052129462 = sum of:
    0.052129462 = product of:
      0.104258925 = sum of:
        0.104258925 = weight(_text_:aufsatzsammlung in 2246) [ClassicSimilarity], result of:
          0.104258925 = score(doc=2246,freq=4.0), product of:
            0.25424787 = queryWeight, product of:
              6.5610886 = idf(docFreq=169, maxDocs=44218)
              0.03875087 = queryNorm
            0.41006804 = fieldWeight in 2246, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              6.5610886 = idf(docFreq=169, maxDocs=44218)
              0.03125 = fieldNorm(doc=2246)
      0.5 = coord(1/2)
  0.125 = coord(1/8)

RSWK

Unternehmen / Semantic Web / Aufsatzsammlung

Subject

Unternehmen / Semantic Web / Aufsatzsammlung

0.002883905 = product of:
  0.02307124 = sum of:
    0.02307124 = weight(_text_:work in 411) [ClassicSimilarity], result of:
      0.02307124 = score(doc=411,freq=2.0), product of:
        0.14223081 = queryWeight, product of:
          3.6703904 = idf(docFreq=3060, maxDocs=44218)
          0.03875087 = queryNorm
        0.16220987 = fieldWeight in 411, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6703904 = idf(docFreq=3060, maxDocs=44218)
          0.03125 = fieldNorm(doc=411)
  0.125 = coord(1/8)

Abstract

The Web has become the world's largest database, with search being the main tool that allows organizations and individuals to exploit its huge amount of information. Search on the Web has been traditionally based on textual and structural similarities, ignoring to a large degree the semantic dimension, i.e., understanding the meaning of the query and of the document content. Combining search and semantics gives birth to the idea of semantic search. Traditional search engines have already advertised some semantic dimensions. Some of them, for instance, can enhance their generated result sets with documents that are semantically related to the query terms even though they may not include these terms. Nevertheless, the exploitation of the semantic search has not yet reached its full potential. In this book, Roberto De Virgilio, Francesco Guerra and Yannis Velegrakis present an extensive overview of the work done in Semantic Search and other related areas. They explore different technologies and solutions in depth, making their collection a valuable and stimulating reading for both academic and industrial researchers. The book is divided into three parts. The first introduces the readers to the basic notions of the Web of Data. It describes the different kinds of data that exist, their topology, and their storing and indexing techniques. The second part is dedicated to Web Search. It presents different types of search, like the exploratory or the path-oriented, alongside methods for their efficient and effective implementation. Other related topics included in this part are the use of uncertainty in query answering, the exploitation of ontologies, and the use of semantics in mashup design and operation. The focus of the third part is on linked data, and more specifically, on applying ideas originating in recommender systems on linked data management, and on techniques for the efficiently querying answering on linked data.

0.002296966 = product of:
  0.018375728 = sum of:
    0.018375728 = product of:
      0.036751457 = sum of:
        0.036751457 = weight(_text_:22 in 3283) [ClassicSimilarity], result of:
          0.036751457 = score(doc=3283,freq=2.0), product of:
            0.13569894 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03875087 = queryNorm
            0.2708308 = fieldWeight in 3283, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0546875 = fieldNorm(doc=3283)
      0.5 = coord(1/2)
  0.125 = coord(1/8)

0.0019688278 = product of:
  0.015750622 = sum of:
    0.015750622 = product of:
      0.031501245 = sum of:
        0.031501245 = weight(_text_:22 in 3197) [ClassicSimilarity], result of:
          0.031501245 = score(doc=3197,freq=2.0), product of:
            0.13569894 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03875087 = queryNorm
            0.23214069 = fieldWeight in 3197, 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=3197)
      0.5 = coord(1/2)
  0.125 = coord(1/8)

Date

24. 8.2016 14:03:22