-
Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005)
0.28
0.27689838 = product of:
0.48457217 = sum of:
0.031377077 = product of:
0.094131224 = sum of:
0.094131224 = weight(_text_:3a in 701) [ClassicSimilarity], result of:
0.094131224 = score(doc=701,freq=2.0), product of:
0.25123185 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.029633347 = 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)
0.019725623 = weight(_text_:web in 701) [ClassicSimilarity], result of:
0.019725623 = score(doc=701,freq=4.0), product of:
0.09670874 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.029633347 = queryNorm
0.2039694 = fieldWeight in 701, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.03125 = fieldNorm(doc=701)
0.094131224 = weight(_text_:2f in 701) [ClassicSimilarity], result of:
0.094131224 = score(doc=701,freq=2.0), product of:
0.25123185 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.029633347 = 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)
0.094131224 = weight(_text_:2f in 701) [ClassicSimilarity], result of:
0.094131224 = score(doc=701,freq=2.0), product of:
0.25123185 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.029633347 = 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)
0.01210759 = weight(_text_:information in 701) [ClassicSimilarity], result of:
0.01210759 = score(doc=701,freq=18.0), product of:
0.052020688 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.029633347 = queryNorm
0.23274568 = fieldWeight in 701, product of:
4.2426405 = tf(freq=18.0), with freq of:
18.0 = termFreq=18.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.03125 = fieldNorm(doc=701)
0.044836953 = weight(_text_:retrieval in 701) [ClassicSimilarity], result of:
0.044836953 = score(doc=701,freq=28.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.5001983 = fieldWeight in 701, product of:
5.2915025 = tf(freq=28.0), with freq of:
28.0 = termFreq=28.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.03125 = fieldNorm(doc=701)
0.094131224 = weight(_text_:2f in 701) [ClassicSimilarity], result of:
0.094131224 = score(doc=701,freq=2.0), product of:
0.25123185 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.029633347 = 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)
0.094131224 = weight(_text_:2f in 701) [ClassicSimilarity], result of:
0.094131224 = score(doc=701,freq=2.0), product of:
0.25123185 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.029633347 = 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)
0.5714286 = coord(8/14)
- Abstract
- By the explosion of possibilities for a ubiquitous content production, the information overload problem reaches the level of complexity which cannot be managed by traditional modelling approaches anymore. Due to their pure syntactical nature traditional information retrieval approaches did not succeed in treating content itself (i.e. its meaning, and not its representation). This leads to a very low usefulness of the results of a retrieval process for a user's task at hand. In the last ten years ontologies have been emerged from an interesting conceptualisation paradigm to a very promising (semantic) modelling technology, especially in the context of the Semantic Web. From the information retrieval point of view, ontologies enable a machine-understandable form of content description, such that the retrieval process can be driven by the meaning of the content. However, the very ambiguous nature of the retrieval process in which a user, due to the unfamiliarity with the underlying repository and/or query syntax, just approximates his information need in a query, implies a necessity to include the user in the retrieval process more actively in order to close the gap between the meaning of the content and the meaning of a user's query (i.e. his information need). This thesis lays foundation for such an ontology-based interactive retrieval process, in which the retrieval system interacts with a user in order to conceptually interpret the meaning of his query, whereas the underlying domain ontology drives the conceptualisation process. In that way the retrieval process evolves from a query evaluation process into a highly interactive cooperation between a user and the retrieval system, in which the system tries to anticipate the user's information need and to deliver the relevant content proactively. Moreover, the notion of content relevance for a user's query evolves from a content dependent artefact to the multidimensional context-dependent structure, strongly influenced by the user's preferences. This cooperation process is realized as the so-called Librarian Agent Query Refinement Process. In order to clarify the impact of an ontology on the retrieval process (regarding its complexity and quality), a set of methods and tools for different levels of content and query formalisation is developed, ranging from pure ontology-based inferencing to keyword-based querying in which semantics automatically emerges from the results. Our evaluation studies have shown that the possibilities to conceptualize a user's information need in the right manner and to interpret the retrieval results accordingly are key issues for realizing much more meaningful information retrieval systems.
- 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.
- Theme
- Semantic Web
-
Hüsken, P.: Information Retrieval im Semantic Web (2006)
0.03
0.034094267 = product of:
0.11932993 = sum of:
0.03856498 = weight(_text_:wide in 4333) [ClassicSimilarity], result of:
0.03856498 = score(doc=4333,freq=2.0), product of:
0.1312982 = queryWeight, product of:
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.029633347 = queryNorm
0.29372054 = fieldWeight in 4333, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.046875 = fieldNorm(doc=4333)
0.046783425 = weight(_text_:web in 4333) [ClassicSimilarity], result of:
0.046783425 = score(doc=4333,freq=10.0), product of:
0.09670874 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.029633347 = queryNorm
0.48375595 = fieldWeight in 4333, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.046875 = fieldNorm(doc=4333)
0.00856136 = weight(_text_:information in 4333) [ClassicSimilarity], result of:
0.00856136 = score(doc=4333,freq=4.0), product of:
0.052020688 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.029633347 = queryNorm
0.16457605 = fieldWeight in 4333, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=4333)
0.025420163 = weight(_text_:retrieval in 4333) [ClassicSimilarity], result of:
0.025420163 = score(doc=4333,freq=4.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.2835858 = fieldWeight in 4333, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.046875 = fieldNorm(doc=4333)
0.2857143 = coord(4/14)
- Abstract
- Das Semantic Web bezeichnet ein erweitertes World Wide Web (WWW), das die Bedeutung von präsentierten Inhalten in neuen standardisierten Sprachen wie RDF Schema und OWL modelliert. Diese Arbeit befasst sich mit dem Aspekt des Information Retrieval, d.h. es wird untersucht, in wie weit Methoden der Informationssuche sich auf modelliertes Wissen übertragen lassen. Die kennzeichnenden Merkmale von IR-Systemen wie vage Anfragen sowie die Unterstützung unsicheren Wissens werden im Kontext des Semantic Web behandelt. Im Fokus steht die Suche nach Fakten innerhalb einer Wissensdomäne, die entweder explizit modelliert sind oder implizit durch die Anwendung von Inferenz abgeleitet werden können. Aufbauend auf der an der Universität Duisburg-Essen entwickelten Retrievalmaschine PIRE wird die Anwendung unsicherer Inferenz mit probabilistischer Prädikatenlogik (pDatalog) implementiert.
- Theme
- Semantic Web
-
Woitas, K.: Bibliografische Daten, Normdaten und Metadaten im Semantic Web : Konzepte der bibliografischen Kontrolle im Wandel (2010)
0.03
0.028334448 = product of:
0.13222742 = sum of:
0.045449268 = weight(_text_:wide in 115) [ClassicSimilarity], result of:
0.045449268 = score(doc=115,freq=4.0), product of:
0.1312982 = queryWeight, product of:
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.029633347 = queryNorm
0.34615302 = fieldWeight in 115, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.0390625 = fieldNorm(doc=115)
0.038986187 = weight(_text_:web in 115) [ClassicSimilarity], result of:
0.038986187 = score(doc=115,freq=10.0), product of:
0.09670874 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.029633347 = queryNorm
0.40312994 = fieldWeight in 115, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.0390625 = fieldNorm(doc=115)
0.047791965 = weight(_text_:bibliothek in 115) [ClassicSimilarity], result of:
0.047791965 = score(doc=115,freq=6.0), product of:
0.121660605 = queryWeight, product of:
4.1055303 = idf(docFreq=1980, maxDocs=44218)
0.029633347 = queryNorm
0.39283025 = fieldWeight in 115, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
4.1055303 = idf(docFreq=1980, maxDocs=44218)
0.0390625 = fieldNorm(doc=115)
0.21428572 = coord(3/14)
- Abstract
- Bibliografische Daten, Normdaten und Metadaten im Semantic Web - Konzepte der Bibliografischen Kontrolle im Wandel. Der Titel dieser Arbeit zielt in ein essentielles Feld der Bibliotheks- und Informationswissenschaft, die Bibliografische Kontrolle. Als zweites zentrales Konzept wird der in der Weiterentwicklung des World Wide Webs (WWW) bedeutsame Begriff des Semantic Webs genannt. Auf den ersten Blick handelt es sich hier um einen ungleichen Wettstreit. Auf der einen Seite die Bibliografische Kontrolle, welche die Methoden und Mittel zur Erschließung von bibliothekarischen Objekten umfasst und traditionell in Form von formal-inhaltlichen Surrogaten in Katalogen daherkommt. Auf der anderen Seite das Buzzword Semantic Web mit seinen hochtrabenden Konnotationen eines durch Selbstreferenzialität "bedeutungstragenden", wenn nicht sogar "intelligenten" Webs. Wie kamen also eine wissenschaftliche Bibliothekarin und ein Mitglied des World Wide Web Consortiums 2007 dazu, gemeinsam einen Aufsatz zu publizieren und darin zu behaupten, das semantische Netz würde ein "bibliothekarischeres" Netz sein? Um sich dieser Frage zu nähern, soll zunächst kurz die historische Entwicklung der beiden Informationssphären Bibliothek und WWW gemeinsam betrachtet werden. Denn so oft - und völlig zurecht - die informationelle Revolution durch das Internet beschworen wird, so taucht auch immer wieder das Analogon einer weltweiten, virtuellen Bibliothek auf. Genauer gesagt, nahmen die theoretischen Überlegungen, die später zur Entwicklung des Internets führen sollten, ihren Ausgangspunkt (neben Kybernetik und entstehender Computertechnik) beim Konzept des Informationsspeichers Bibliothek.
- Theme
- Semantic Web
-
Li, Z.: ¬A domain specific search engine with explicit document relations (2013)
0.02
0.01962373 = product of:
0.09157741 = sum of:
0.032137483 = weight(_text_:wide in 1210) [ClassicSimilarity], result of:
0.032137483 = score(doc=1210,freq=2.0), product of:
0.1312982 = queryWeight, product of:
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.029633347 = queryNorm
0.24476713 = fieldWeight in 1210, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.0390625 = fieldNorm(doc=1210)
0.052305456 = weight(_text_:web in 1210) [ClassicSimilarity], result of:
0.052305456 = score(doc=1210,freq=18.0), product of:
0.09670874 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.029633347 = queryNorm
0.5408555 = fieldWeight in 1210, product of:
4.2426405 = tf(freq=18.0), with freq of:
18.0 = termFreq=18.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.0390625 = fieldNorm(doc=1210)
0.0071344664 = weight(_text_:information in 1210) [ClassicSimilarity], result of:
0.0071344664 = score(doc=1210,freq=4.0), product of:
0.052020688 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.029633347 = queryNorm
0.13714671 = fieldWeight in 1210, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=1210)
0.21428572 = coord(3/14)
- Abstract
- The current web consists of documents that are highly heterogeneous and hard for machines to understand. The Semantic Web is a progressive movement of the Word Wide Web, aiming at converting the current web of unstructured documents to the web of data. In the Semantic Web, web documents are annotated with metadata using standardized ontology language. These annotated documents are directly processable by machines and it highly improves their usability and usefulness. In Ericsson, similar problems occur. There are massive documents being created with well-defined structures. Though these documents are about domain specific knowledge and can have rich relations, they are currently managed by a traditional search engine, which ignores the rich domain specific information and presents few data to users. Motivated by the Semantic Web, we aim to find standard ways to process these documents, extract rich domain specific information and annotate these data to documents with formal markup languages. We propose this project to develop a domain specific search engine for processing different documents and building explicit relations for them. This research project consists of the three main focuses: examining different domain specific documents and finding ways to extract their metadata; integrating a text search engine with an ontology server; exploring novel ways to build relations for documents. We implement this system and demonstrate its functions. As a prototype, the system provides required features and will be extended in the future.
- Theme
- Semantic Web
-
Vocht, L. De: Exploring semantic relationships in the Web of Data : Semantische relaties verkennen in data op het web (2017)
0.02
0.018600633 = product of:
0.06510221 = sum of:
0.016068742 = weight(_text_:wide in 4232) [ClassicSimilarity], result of:
0.016068742 = score(doc=4232,freq=2.0), product of:
0.1312982 = queryWeight, product of:
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.029633347 = queryNorm
0.122383565 = fieldWeight in 4232, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.4307585 = idf(docFreq=1430, maxDocs=44218)
0.01953125 = fieldNorm(doc=4232)
0.034870304 = weight(_text_:web in 4232) [ClassicSimilarity], result of:
0.034870304 = score(doc=4232,freq=32.0), product of:
0.09670874 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.029633347 = queryNorm
0.36057037 = fieldWeight in 4232, product of:
5.656854 = tf(freq=32.0), with freq of:
32.0 = termFreq=32.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.01953125 = fieldNorm(doc=4232)
0.006673682 = weight(_text_:information in 4232) [ClassicSimilarity], result of:
0.006673682 = score(doc=4232,freq=14.0), product of:
0.052020688 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.029633347 = queryNorm
0.128289 = fieldWeight in 4232, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.01953125 = fieldNorm(doc=4232)
0.007489487 = weight(_text_:retrieval in 4232) [ClassicSimilarity], result of:
0.007489487 = score(doc=4232,freq=2.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.08355226 = fieldWeight in 4232, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.01953125 = fieldNorm(doc=4232)
0.2857143 = coord(4/14)
- Abstract
- After the launch of the World Wide Web, it became clear that searching documentson the Web would not be trivial. Well-known engines to search the web, like Google, focus on search in web documents using keywords. The documents are structured and indexed to ensure keywords match documents as accurately as possible. However, searching by keywords does not always suice. It is oen the case that users do not know exactly how to formulate the search query or which keywords guarantee retrieving the most relevant documents. Besides that, it occurs that users rather want to browse information than looking up something specific. It turned out that there is need for systems that enable more interactivity and facilitate the gradual refinement of search queries to explore the Web. Users expect more from the Web because the short keyword-based queries they pose during search, do not suffice for all cases. On top of that, the Web is changing structurally. The Web comprises, apart from a collection of documents, more and more linked data, pieces of information structured so they can be processed by machines. The consequently applied semantics allow users to exactly indicate machines their search intentions. This is made possible by describing data following controlled vocabularies, concept lists composed by experts, published uniquely identifiable on the Web. Even so, it is still not trivial to explore data on the Web. There is a large variety of vocabularies and various data sources use different terms to identify the same concepts.
This PhD-thesis describes how to effectively explore linked data on the Web. The main focus is on scenarios where users want to discover relationships between resources rather than finding out more about something specific. Searching for a specific document or piece of information fits in the theoretical framework of information retrieval and is associated with exploratory search. Exploratory search goes beyond 'looking up something' when users are seeking more detailed understanding, further investigation or navigation of the initial search results. The ideas behind exploratory search and querying linked data merge when it comes to the way knowledge is represented and indexed by machines - how data is structured and stored for optimal searchability. Queries and information should be aligned to facilitate that searches also reveal connections between results. This implies that they take into account the same semantic entities, relevant at that moment. To realize this, we research three techniques that are evaluated one by one in an experimental set-up to assess how well they succeed in their goals. In the end, the techniques are applied to a practical use case that focuses on forming a bridge between the Web and the use of digital libraries in scientific research. Our first technique focuses on the interactive visualization of search results. Linked data resources can be brought in relation with each other at will. This leads to complex and diverse graphs structures. Our technique facilitates navigation and supports a workflow starting from a broad overview on the data and allows narrowing down until the desired level of detail to then broaden again. To validate the flow, two visualizations where implemented and presented to test-users. The users judged the usability of the visualizations, how the visualizations fit in the workflow and to which degree their features seemed useful for the exploration of linked data.
The ideas behind exploratory search and querying linked data merge when it comes to the way knowledge is represented and indexed by machines - how data is structured and stored for optimal searchability. eries and information should be aligned to facilitate that searches also reveal connections between results. This implies that they take into account the same semantic entities, relevant at that moment. To realize this, we research three techniques that are evaluated one by one in an experimental set-up to assess how well they succeed in their goals. In the end, the techniques are applied to a practical use case that focuses on forming a bridge between the Web and the use of digital libraries in scientific research.
When we speak about finding relationships between resources, it is necessary to dive deeper in the structure. The graph structure of linked data where the semantics give meaning to the relationships between resources enable the execution of pathfinding algorithms. The assigned weights and heuristics are base components of such algorithms and ultimately define (the order) which resources are included in a path. These paths explain indirect connections between resources. Our third technique proposes an algorithm that optimizes the choice of resources in terms of serendipity. Some optimizations guard the consistence of candidate-paths where the coherence of consecutive connections is maximized to avoid trivial and too arbitrary paths. The implementation uses the A* algorithm, the de-facto reference when it comes to heuristically optimized minimal cost paths. The effectiveness of paths was measured based on common automatic metrics and surveys where the users could indicate their preference for paths, generated each time in a different way. Finally, all our techniques are applied to a use case about publications in digital libraries where they are aligned with information about scientific conferences and researchers. The application to this use case is a practical example because the different aspects of exploratory search come together. In fact, the techniques also evolved from the experiences when implementing the use case. Practical details about the semantic model are explained and the implementation of the search system is clarified module by module. The evaluation positions the result, a prototype of a tool to explore scientific publications, researchers and conferences next to some important alternatives.
- Theme
- Semantic Web
-
Kara, S.: ¬An ontology-based retrieval system using semantic indexing (2012)
0.01
0.01478128 = product of:
0.06897931 = sum of:
0.020922182 = weight(_text_:web in 3829) [ClassicSimilarity], result of:
0.020922182 = score(doc=3829,freq=2.0), product of:
0.09670874 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.029633347 = queryNorm
0.21634221 = fieldWeight in 3829, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.046875 = fieldNorm(doc=3829)
0.012107591 = weight(_text_:information in 3829) [ClassicSimilarity], result of:
0.012107591 = score(doc=3829,freq=8.0), product of:
0.052020688 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.029633347 = queryNorm
0.23274569 = fieldWeight in 3829, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=3829)
0.03594954 = weight(_text_:retrieval in 3829) [ClassicSimilarity], result of:
0.03594954 = score(doc=3829,freq=8.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.40105087 = fieldWeight in 3829, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.046875 = fieldNorm(doc=3829)
0.21428572 = coord(3/14)
- Abstract
- In this thesis, we present an ontology-based information extraction and retrieval system and its application to soccer domain. In general, we deal with three issues in semantic search, namely, usability, scalability and retrieval performance. We propose a keyword-based semantic retrieval approach. The performance of the system is improved considerably using domain-specific information extraction, inference and rules. Scalability is achieved by adapting a semantic indexing approach. The system is implemented using the state-of-the-art technologies in SemanticWeb and its performance is evaluated against traditional systems as well as the query expansion methods. Furthermore, a detailed evaluation is provided to observe the performance gain due to domain-specific information extraction and inference. Finally, we show how we use semantic indexing to solve simple structural ambiguities.
- Source
- Information Systems. 37(2012) no. 4, S.294-305
- Theme
- Semantic Web
-
Smith, D.A.: Exploratory and faceted browsing over heterogeneous and cross-domain data sources. (2011)
0.01
0.0059565757 = product of:
0.041696027 = sum of:
0.029588435 = weight(_text_:web in 4839) [ClassicSimilarity], result of:
0.029588435 = score(doc=4839,freq=4.0), product of:
0.09670874 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.029633347 = queryNorm
0.3059541 = fieldWeight in 4839, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.046875 = fieldNorm(doc=4839)
0.012107591 = weight(_text_:information in 4839) [ClassicSimilarity], result of:
0.012107591 = score(doc=4839,freq=8.0), product of:
0.052020688 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.029633347 = queryNorm
0.23274569 = fieldWeight in 4839, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=4839)
0.14285715 = coord(2/14)
- Abstract
- Exploration of heterogeneous data sources increases the value of information by allowing users to answer questions through exploration across multiple sources; Users can use information that has been posted across the Web to answer questions and learn about new domains. We have conducted research that lowers the interrogation time of faceted data, by combining related information from different sources. The work contributes methodologies in combining heterogenous sources, and how to deliver that data to a user interface scalably, with enough performance to support rapid interrogation of the knowledge by the user. The work also contributes how to combine linked data sources so that users can create faceted browsers that target the information facets of their needs. The work is grounded and proven in a number of experiments and test cases that study the contributions in domain research work.
- Theme
- Semantic Web
-
Botana Varela, J.: Unscharfe Wissensrepräsentationen bei der Implementation des Semantic Web (2004)
0.00
0.0045617297 = product of:
0.031932108 = sum of:
0.027896244 = weight(_text_:web in 3359) [ClassicSimilarity], result of:
0.027896244 = score(doc=3359,freq=8.0), product of:
0.09670874 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.029633347 = queryNorm
0.2884563 = fieldWeight in 3359, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.03125 = fieldNorm(doc=3359)
0.0040358636 = weight(_text_:information in 3359) [ClassicSimilarity], result of:
0.0040358636 = score(doc=3359,freq=2.0), product of:
0.052020688 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.029633347 = queryNorm
0.0775819 = fieldWeight in 3359, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.03125 = fieldNorm(doc=3359)
0.14285715 = coord(2/14)
- Abstract
- In der vorliegenden Arbeit soll einen Ansatz zur Implementation einer Wissensrepräsentation mit den in Abschnitt 1.1. skizzierten Eigenschaften und dem Semantic Web als Anwendungsbereich vorgestellt werden. Die Arbeit ist im Wesentlichen in zwei Bereiche gegliedert: dem Untersuchungsbereich (Kapitel 2-5), in dem ich die in Abschnitt 1.1. eingeführte Terminologie definiert und ein umfassender Überblick über die zugrundeliegenden Konzepte gegeben werden soll, und dem Implementationsbereich (Kapitel 6), in dem aufbauend auf dem im Untersuchungsbereich erarbeiteten Wissen einen semantischen Suchdienst entwickeln werden soll. In Kapitel 2 soll zunächst das Konzept der semantischen Interpretation erläutert und in diesem Kontext hauptsächlich zwischen Daten, Information und Wissen unterschieden werden. In Kapitel 3 soll Wissensrepräsentation aus einer kognitiven Perspektive betrachtet und in diesem Zusammenhang das Konzept der Unschärfe beschrieben werden. In Kapitel 4 sollen sowohl aus historischer als auch aktueller Sicht die Ansätze zur Wissensrepräsentation und -auffindung beschrieben und in diesem Zusammenhang das Konzept der Unschärfe diskutiert werden. In Kapitel 5 sollen die aktuell im WWW eingesetzten Modelle und deren Einschränkungen erläutert werden. Anschließend sollen im Kontext der Entscheidungsfindung die Anforderungen beschrieben werden, die das WWW an eine adäquate Wissensrepräsentation stellt, und anhand der Technologien des Semantic Web die Repräsentationsparadigmen erläutert werden, die diese Anforderungen erfüllen. Schließlich soll das Topic Map-Paradigma erläutert werden. In Kapitel 6 soll aufbauend auf die im Untersuchtungsbereich gewonnenen Erkenntnisse ein Prototyp entwickelt werden. Dieser besteht im Wesentlichen aus Softwarewerkzeugen, die das automatisierte und computergestützte Extrahieren von Informationen, das unscharfe Modellieren, sowie das Auffinden von Wissen unterstützen. Die Implementation der Werkzeuge erfolgt in der Programmiersprache Java, und zur unscharfen Wissensrepräsentation werden Topic Maps eingesetzt. Die Implementation wird dabei schrittweise vorgestellt. Schließlich soll der Prototyp evaluiert und ein Ausblick auf zukünftige Erweiterungsmöglichkeiten gegeben werden. Und schließlich soll in Kapitel 7 eine Synthese formuliert werden.
- Theme
- Semantic Web
-
Wagner, S.: Barrierefreie und thesaurusbasierte Suchfunktion für das Webportal der Stadt Nürnberg (2007)
0.00
0.0044959965 = product of:
0.031471975 = sum of:
0.024409214 = weight(_text_:web in 1724) [ClassicSimilarity], result of:
0.024409214 = score(doc=1724,freq=2.0), product of:
0.09670874 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.029633347 = queryNorm
0.25239927 = fieldWeight in 1724, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.0546875 = fieldNorm(doc=1724)
0.0070627616 = weight(_text_:information in 1724) [ClassicSimilarity], result of:
0.0070627616 = score(doc=1724,freq=2.0), product of:
0.052020688 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.029633347 = queryNorm
0.13576832 = fieldWeight in 1724, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0546875 = fieldNorm(doc=1724)
0.14285715 = coord(2/14)
- Theme
- Semantic Web
Information Gateway
-
Aufreiter, M.: Informationsvisualisierung und Navigation im Semantic Web (2008)
0.00
0.00366062 = product of:
0.051248677 = sum of:
0.051248677 = weight(_text_:web in 4711) [ClassicSimilarity], result of:
0.051248677 = score(doc=4711,freq=12.0), product of:
0.09670874 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.029633347 = queryNorm
0.5299281 = fieldWeight in 4711, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.046875 = fieldNorm(doc=4711)
0.071428575 = coord(1/14)
- Abstract
- Der Anreiz und das Potential von Informationsvisualisierungen wird bereits häufig erkannt und der Wunsch nach deren Anwendung immer stärker. Gerade im Bereich des Wissensmanagements spielt dieses Gebiet eine immer wichtigere Rolle. Diese Arbeit beschäftigt sich mit Informationsvisualisierung im Semantic Web und vermittelt einen Überblick über aktuelle Entwicklungen zum Thema Knowledge Visualization. Zun¨achst werden grundlegende Konzepte der Informationsvisualisierung vorgestellt und deren Bedeutung in Hinblick auf das Wissensmanagement erklärt. Aus den Anforderungen, die das Semantic Web an die Informationsvisualisierungen stellt, lassen sich Kriterien ableiten, die zur Beurteilung von Visualisierungstechniken herangezogen werden können. Die ausgewählten Kriterien werden im Rahmen dieser Arbeit zu einem Kriterienkatalog zusammengefasst. Schließlich werden ausgewählte Werkzeuge beschrieben, die im Wissensmanagement bereits erfolgreich Anwendung finden. Die einzelnen Untersuchungsobjekte werden nach einer detailierten Beschreibung anhand der ausgewählten Kriterien analysiert und bewertet. Dabei wird besonders auf deren Anwendung im Kontext des Semantic Web eingegangen.
- Source
- Eine Analyse bestehender Visualisierungstechniken im Hinblick auf Eignung für das Semantic Web
- Theme
- Semantic Web
-
Schäfer, D.: Konzeption, prototypische Implementierung und Evaluierung eines RDF-basierten Bibliothekskatalogs für Online-Dissertationen (2008)
0.00
0.002588449 = product of:
0.036238287 = sum of:
0.036238287 = weight(_text_:web in 2293) [ClassicSimilarity], result of:
0.036238287 = score(doc=2293,freq=6.0), product of:
0.09670874 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.029633347 = queryNorm
0.37471575 = fieldWeight in 2293, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.046875 = fieldNorm(doc=2293)
0.071428575 = coord(1/14)
- Abstract
- In dieser Diplomarbeit geht es um die semantische Suche innerhalb bibliothekarischer Metadaten. Die Umsetzung dieses Vorhabens wird ermöglichst durch die Entwicklung in dem Bereich des Semantischen Webs, die durch das W3C Semantic Web Activity vorangetrieben wird. Diese Arbeit basiert auf den Empfehlungen und Arbeitsentwürfen unterschiedlicher Technologien dieser Gruppe, deren Kombination schließlich ein Semantisches Web ermöglicht. Da die Thematik des Semantischen Webs schwer zu greifen ist, werden die Komponenten, die in dieser Arbeit eine Rolle spielen, ausführlich erkäutert. Im Anschluss daran werden die Anforderungen an eine semantische Suche innerhalb bibliothekarischer Metadaten dargestellt, um dann ein Konzept zur Lösung zu erläutern. Die Zielsetzung dieser Arbeit ist die Umsetzung der Konzepte des Semantischen Webs innerhalb einer prototypischen Implementierung mit einem umfangreichen Datensatz. Hier wurden die Metadaten der elektronischen Dissertationen innerhalb der Deutschen Nationalbibliothek zusammen mit Daten eines Klassifikationssystems verwendet.
- Theme
- Semantic Web
-
Ehlen, D.: Semantic Wiki : Konzeption eines Semantic MediaWiki für das Reallexikon zur Deutschen Kunstgeschichte (2010)
0.00
0.0017435154 = product of:
0.024409214 = sum of:
0.024409214 = weight(_text_:web in 3689) [ClassicSimilarity], result of:
0.024409214 = score(doc=3689,freq=2.0), product of:
0.09670874 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.029633347 = queryNorm
0.25239927 = fieldWeight in 3689, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.0546875 = fieldNorm(doc=3689)
0.071428575 = coord(1/14)
- Theme
- Semantic Web
-
Meyer, A.: Begriffsrelationen im Kategoriensystem der Wikipedia : Entwicklung eines Relationeninventars zur kollaborativen Anwendung (2010)
0.00
0.001245368 = product of:
0.017435152 = sum of:
0.017435152 = weight(_text_:web in 4429) [ClassicSimilarity], result of:
0.017435152 = score(doc=4429,freq=2.0), product of:
0.09670874 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.029633347 = queryNorm
0.18028519 = fieldWeight in 4429, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.0390625 = fieldNorm(doc=4429)
0.071428575 = coord(1/14)
- Theme
- Semantic Web
-
Schulz, T.: Konzeption und prototypische Entwicklung eines Thesaurus für IT-Konzepte an Hochschulen (2021)
0.00
0.001245368 = product of:
0.017435152 = sum of:
0.017435152 = weight(_text_:web in 429) [ClassicSimilarity], result of:
0.017435152 = score(doc=429,freq=2.0), product of:
0.09670874 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.029633347 = queryNorm
0.18028519 = fieldWeight in 429, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.0390625 = fieldNorm(doc=429)
0.071428575 = coord(1/14)
- Theme
- Semantic Web
