-
Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014)
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- 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
-
Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012)
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- Abstract
- In this thesis we propose three new word association measures for multi-word term extraction. We combine these association measures with LocalMaxs algorithm in our extraction model and compare the results of different multi-word term extraction methods. Our approach is language and domain independent and requires no training data. It can be applied to such tasks as text summarization, information retrieval, and document classification. We further explore the potential of using multi-word terms as an effective representation for general web-page summarization. We extract multi-word terms from human written summaries in a large collection of web-pages, and generate the summaries by aligning document words with these multi-word terms. Our system applies machine translation technology to learn the aligning process from a training set and focuses on selecting high quality multi-word terms from human written summaries to generate suitable results for web-page summarization.
- Content
- A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Computer Science. Vgl. Unter: http://www.inf.ufrgs.br%2F~ceramisch%2Fdownload_files%2Fpublications%2F2009%2Fp01.pdf.
- Date
- 10. 1.2013 19:22:47
-
Xiong, C.: Knowledge based text representations for information retrieval (2016)
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- Abstract
- The successes of information retrieval (IR) in recent decades were built upon bag-of-words representations. Effective as it is, bag-of-words is only a shallow text understanding; there is a limited amount of information for document ranking in the word space. This dissertation goes beyond words and builds knowledge based text representations, which embed the external and carefully curated information from knowledge bases, and provide richer and structured evidence for more advanced information retrieval systems. This thesis research first builds query representations with entities associated with the query. Entities' descriptions are used by query expansion techniques that enrich the query with explanation terms. Then we present a general framework that represents a query with entities that appear in the query, are retrieved by the query, or frequently show up in the top retrieved documents. A latent space model is developed to jointly learn the connections from query to entities and the ranking of documents, modeling the external evidence from knowledge bases and internal ranking features cooperatively. To further improve the quality of relevant entities, a defining factor of our query representations, we introduce learning to rank to entity search and retrieve better entities from knowledge bases. In the document representation part, this thesis research also moves one step forward with a bag-of-entities model, in which documents are represented by their automatic entity annotations, and the ranking is performed in the entity space.
This proposal includes plans to improve the quality of relevant entities with a co-learning framework that learns from both entity labels and document labels. We also plan to develop a hybrid ranking system that combines word based and entity based representations together with their uncertainties considered. At last, we plan to enrich the text representations with connections between entities. We propose several ways to infer entity graph representations for texts, and to rank documents using their structure representations. This dissertation overcomes the limitation of word based representations with external and carefully curated information from knowledge bases. We believe this thesis research is a solid start towards the new generation of intelligent, semantic, and structured information retrieval.
- 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.
-
Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010)
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- Abstract
- While classifications are heavily used to categorize web content, the evolution of the web foresees a more formal structure - ontology - which can serve this purpose. Ontologies are core artifacts of the Semantic Web which enable machines to use inference rules to conduct automated reasoning on data. Lightweight ontologies bridge the gap between classifications and ontologies. A lightweight ontology (LO) is an ontology representing a backbone taxonomy where the concept of the child node is more specific than the concept of the parent node. Formal lightweight ontologies can be generated from their informal ones. The key applications of formal lightweight ontologies are document classification, semantic search, and data integration. However, these applications suffer from the following problems: the disambiguation accuracy of the state of the art NLP tools used in generating formal lightweight ontologies from their informal ones; the lack of background knowledge needed for the formal lightweight ontologies; and the limitation of ontology reuse. In this dissertation, we propose a novel solution to these problems in formal lightweight ontologies; namely, faceted lightweight ontology (FLO). FLO is a lightweight ontology in which terms, present in each node label, and their concepts, are available in the background knowledge (BK), which is organized as a set of facets. A facet can be defined as a distinctive property of the groups of concepts that can help in differentiating one group from another. Background knowledge can be defined as a subset of a knowledge base, such as WordNet, and often represents a specific domain.
- Content
- PhD Dissertation at International Doctorate School in Information and Communication Technology. Vgl.: https%3A%2F%2Fcore.ac.uk%2Fdownload%2Fpdf%2F150083013.pdf&usg=AOvVaw2n-qisNagpyT0lli_6QbAQ.
- Imprint
- Trento : University / Department of information engineering and computer science
-
Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019)
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- Abstract
- On a scientific concept hierarchy, a parent concept may have a few attributes, each of which has multiple values being a group of child concepts. We call these attributes facets: classification has a few facets such as application (e.g., face recognition), model (e.g., svm, knn), and metric (e.g., precision). In this work, we aim at building faceted concept hierarchies from scientific literature. Hierarchy construction methods heavily rely on hypernym detection, however, the faceted relations are parent-to-child links but the hypernym relation is a multi-hop, i.e., ancestor-to-descendent link with a specific facet "type-of". We use information extraction techniques to find synonyms, sibling concepts, and ancestor-descendent relations from a data science corpus. And we propose a hierarchy growth algorithm to infer the parent-child links from the three types of relationships. It resolves conflicts by maintaining the acyclic structure of a hierarchy.
- Content
- Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
-
¬The Semantic Web - ISWC 2010 : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part 2. (2010)
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- Abstract
- The two-volume set LNCS 6496 and 6497 constitutes the refereed proceedings of the 9th International Semantic Web Conference, ISWC 2010, held in Shanghai, China, during November 7-11, 2010. Part I contains 51 papers out of 578 submissions to the research track. Part II contains 18 papers out of 66 submissions to the semantic Web in-use track, 6 papers out of 26 submissions to the doctoral consortium track, and also 4 invited talks. Each submitted paper were carefully reviewed. The International Semantic Web Conferences (ISWC) constitute the major international venue where the latest research results and technical innovations on all aspects of the Semantic Web are presented. ISWC brings together researchers, practitioners, and users from the areas of artificial intelligence, databases, social networks, distributed computing, Web engineering, information systems, natural language processing, soft computing, and human computer interaction to discuss the major challenges and proposed solutions, the success stories and failures, as well the visions that can advance research and drive innovation in the Semantic Web.
- RSWK
- Semantic Web / Kongress / Schanghai <2010>
Semantic Web / Ontologie <Wissensverarbeitung> / Kongress / Schanghai <2010>
Semantic Web / Datenverwaltung / Wissensmanagement / Kongress / Schanghai <2010>
Semantic Web / Anwendungssystem / Kongress / Schanghai <2010>
Semantic Web / World Wide Web 2.0 / Kongress / Schanghai <2010>
- Subject
- Semantic Web / Kongress / Schanghai <2010>
Semantic Web / Ontologie <Wissensverarbeitung> / Kongress / Schanghai <2010>
Semantic Web / Datenverwaltung / Wissensmanagement / Kongress / Schanghai <2010>
Semantic Web / Anwendungssystem / Kongress / Schanghai <2010>
Semantic Web / World Wide Web 2.0 / Kongress / Schanghai <2010>
- Theme
- Semantic Web
-
¬The Semantic Web - ISWC 2010 : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part I. (2010)
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- Abstract
- The two-volume set LNCS 6496 and 6497 constitutes the refereed proceedings of the 9th International Semantic Web Conference, ISWC 2010, held in Shanghai, China, during November 7-11, 2010. Part I contains 51 papers out of 578 submissions to the research track. Part II contains 18 papers out of 66 submissions to the semantic Web in-use track, 6 papers out of 26 submissions to the doctoral consortium track, and also 4 invited talks. Each submitted paper were carefully reviewed. The International Semantic Web Conferences (ISWC) constitute the major international venue where the latest research results and technical innovations on all aspects of the Semantic Web are presented. ISWC brings together researchers, practitioners, and users from the areas of artificial intelligence, databases, social networks, distributed computing, Web engineering, information systems, natural language processing, soft computing, and human computer interaction to discuss the major challenges and proposed solutions, the success stories and failures, as well the visions that can advance research and drive innovation in the Semantic Web.
- RSWK
- Semantic Web / Kongress / Schanghai <2010>
Semantic Web / Ontologie <Wissensverarbeitung> / Kongress / Schanghai <2010>
Semantic Web / Datenverwaltung / Wissensmanagement / Kongress / Schanghai <2010>
Semantic Web / Anwendungssystem / Kongress / Schanghai <2010>
Semantic Web / World Wide Web 2.0 / Kongress / Schanghai <2010>
- Subject
- Semantic Web / Kongress / Schanghai <2010>
Semantic Web / Ontologie <Wissensverarbeitung> / Kongress / Schanghai <2010>
Semantic Web / Datenverwaltung / Wissensmanagement / Kongress / Schanghai <2010>
Semantic Web / Anwendungssystem / Kongress / Schanghai <2010>
Semantic Web / World Wide Web 2.0 / Kongress / Schanghai <2010>
- Theme
- Semantic Web
-
Information and communication technologies : international conference; proceedings / ICT 2010, Kochi, Kerala, India, September 7 - 9, 2010 (2010)
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- Abstract
- This book constitutes the proceedings of the International Conference on Information and Communication Technologies held in Kochi, Kerala, India in September 2010.
- LCSH
- Information storage and retrieval systems
Information systems
- RSWK
- Telekommunikationsnetz / Netzwerktopologie / Kongress / Cochin <Kerala, 2010>
Informationstechnik / Kongress / Cochin <Kerala, 2010>
Informatik / Kongress / Cochin <Kerala, 2010>
Data Mining / Kongress / Cochin <Kerala, 2010>
- Series
- Communications in computer and information science; vol.101
- Subject
- Telekommunikationsnetz / Netzwerktopologie / Kongress / Cochin <Kerala, 2010>
Informationstechnik / Kongress / Cochin <Kerala, 2010>
Informatik / Kongress / Cochin <Kerala, 2010>
Data Mining / Kongress / Cochin <Kerala, 2010>
Information storage and retrieval systems
Information systems
-
Gödert, W.; Hubrich, J.; Nagelschmidt, M.: Semantic knowledge representation for information retrieval (2014)
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- Abstract
- This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve languages as a tool for subject queries and knowledge exploration. The book is relevant to information scientists, knowledge workers and indexers. It provides a suitable combination of theoretical foundations and practical applications.
- Content
- Introduction: envisioning semantic information spacesIndexing and knowledge organization -- Semantic technologies for knowledge representation -- Information retrieval and knowledge exploration -- Approaches to handle heterogeneity -- Problems with establishing semantic interoperability -- Formalization in indexing languages -- Typification of semantic relations -- Inferences in retrieval processes -- Semantic interoperability and inferences -- Remaining research questions.
- Date
- 23. 7.2017 13:49:22
- LCSH
- Semantic Web
Information retrieval
Knowledge representation (Information theory)
Information organization
World Wide Web / Subject access
- RSWK
- Semantic Web
Information Retrieval
- Subject
- Semantic Web
Information retrieval
Knowledge representation (Information theory)
Information organization
World Wide Web / Subject access
Semantic Web
Information Retrieval
-
Suman, A.: From knowledge abstraction to management : using Ranganathan's faceted schema to develop conceptual frameworks for digital libraries (2014)
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- Abstract
- The increasing volume of information in the contemporary world entails demand for efficient knowledge management (KM) systems; a logical method of information organization that will allow proper semantic querying to identify things that match meaning in natural language. On this concept, the role of an information manager goes beyond implementing a search and clustering system, to the ability to map and logically present the subject domain and related cross domains. From Knowledge Abstraction to Management answers this need by analysing ontology tools and techniques, helping the reader develop
- LCSH
- Information organization
Information storage and retrieval systems
Semantic Web
- RSWK
- Ranganathan, Shiyali R. / Facettenklassifikation / Wissensorganisation / Elektronische Bibliothek
- Series
- Chandos information professional series
- Subject
- Ranganathan, Shiyali R. / Facettenklassifikation / Wissensorganisation / Elektronische Bibliothek
Information organization
Information storage and retrieval systems
Semantic Web
-
Linked data and user interaction : the road ahead (2015)
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- Abstract
- This collection of research papers provides extensive information on deploying services, concepts, and approaches for using open linked data from libraries and other cultural heritage institutions. With a special emphasis on how libraries and other cultural heritage institutions can create effective end user interfaces using open, linked data or other datasets. These papers are essential reading for any one interesting in user interface design or the semantic web.
- Content
- H. Frank Cervone: Linked data and user interaction : an introduction -- Paola Di Maio: Linked Data Beyond Libraries Towards Universal Interfaces and Knowledge Unification -- Emmanuelle Bermes: Following the user's flow in the Digital Pompidou -- Patrick Le Bceuf: Customized OPACs on the Semantic Web : the OpenCat prototype -- Ryan Shaw, Patrick Golden and Michael Buckland: Using linked library data in working research notes -- Timm Heuss, Bernhard Humm.Tilman Deuschel, Torsten Frohlich, Thomas Herth and Oliver Mitesser: Semantically guided, situation-aware literature research -- Niklas Lindstrom and Martin Malmsten: Building interfaces on a networked graph -- Natasha Simons, Arve Solland and Jan Hettenhausen: Griffith Research Hub. Vgl.: http://d-nb.info/1032799889.
- LCSH
- Semantic Web
- RSWK
- Bibliothek / Linked Data / Benutzer / Mensch-Maschine-Kommunikation / Recherche / Suchverfahren / Aufsatzsammlung
Linked Data / Online-Katalog / Semantic Web / Benutzeroberfläche / Kongress / Singapur <2013>
- Subject
- Bibliothek / Linked Data / Benutzer / Mensch-Maschine-Kommunikation / Recherche / Suchverfahren / Aufsatzsammlung
Linked Data / Online-Katalog / Semantic Web / Benutzeroberfläche / Kongress / Singapur <2013>
Semantic Web
- Theme
- Semantic Web
-
Liu, B.: Web data mining : exploring hyperlinks, contents, and usage data (2011)
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- Abstract
- Web mining aims to discover useful information and knowledge from the Web hyperlink structure, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semistructured and unstructured nature of the Web data and its heterogeneity. It has also developed many of its own algorithms and techniques. Liu has written a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered both in breadth and in depth. His book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an authoritative and coherent text. The book offers a rich blend of theory and practice, addressing seminal research ideas, as well as examining the technology from a practical point of view. It is suitable for students, researchers and practitioners interested in Web mining both as a learning text and a reference book. Lecturers can readily use it for classes on data mining, Web mining, and Web search. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.
- Content
- Inhalt: 1. Introduction 2. Association Rules and Sequential Patterns 3. Supervised Learning 4. Unsupervised Learning 5. Partially Supervised Learning 6. Information Retrieval and Web Search 7. Social Network Analysis 8. Web Crawling 9. Structured Data Extraction: Wrapper Generation 10. Information Integration
- Footnote
- Elektronische Ausgabe unter: http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1gd0L5.C3WE8i..N.WdtE.3uq2.bW89MQ%5f%5fCXPUFOH0.
- RSWK
- World Wide Web / Data Mining
- Subject
- World Wide Web / Data Mining
-
Stuart, D.: Web metrics for library and information professionals (2014)
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- Abstract
- This is a practical guide to using web metrics to measure impact and demonstrate value. The web provides an opportunity to collect a host of different metrics, from those associated with social media accounts and websites to more traditional research outputs. This book is a clear guide for library and information professionals as to what web metrics are available and how to assess and use them to make informed decisions and demonstrate value. As individuals and organizations increasingly use the web in addition to traditional publishing avenues and formats, this book provides the tools to unlock web metrics and evaluate the impact of this content. The key topics covered include: bibliometrics, webometrics and web metrics; data collection tools; evaluating impact on the web; evaluating social media impact; investigating relationships between actors; exploring traditional publications in a new environment; web metrics and the web of data; the future of web metrics and the library and information professional. The book will provide a practical introduction to web metrics for a wide range of library and information professionals, from the bibliometrician wanting to demonstrate the wider impact of a researcher's work than can be demonstrated through traditional citations databases, to the reference librarian wanting to measure how successfully they are engaging with their users on Twitter. It will be a valuable tool for anyone who wants to not only understand the impact of content, but demonstrate this impact to others within the organization and beyond.
- BK
- 06.00 Information und Dokumentation: Allgemeines
- Classification
- 06.00 Information und Dokumentation: Allgemeines
- Content
- 1. Introduction. MetricsIndicators -- Web metrics and Ranganathan's laws of library science -- Web metrics for the library and information professional -- The aim of this book -- The structure of the rest of this book -- 2. Bibliometrics, webometrics and web metrics. Web metrics -- Information science metrics -- Web analytics -- Relational and evaluative metrics -- Evaluative web metrics -- Relational web metrics -- Validating the results -- 3. Data collection tools. The anatomy of a URL, web links and the structure of the web -- Search engines 1.0 -- Web crawlers -- Search engines 2.0 -- Post search engine 2.0: fragmentation -- 4. Evaluating impact on the web. Websites -- Blogs -- Wikis -- Internal metrics -- External metrics -- A systematic approach to content analysis -- 5. Evaluating social media impact. Aspects of social network sites -- Typology of social network sites -- Research and tools for specific sites and services -- Other social network sites -- URL shorteners: web analytic links on any site -- General social media impact -- Sentiment analysis -- 6. Investigating relationships between actors. Social network analysis methods -- Sources for relational network analysis -- 7. Exploring traditional publications in a new environment. More bibliographic items -- Full text analysis -- Greater context -- 8. Web metrics and the web of data. The web of data -- Building the semantic web -- Implications of the web of data for web metrics -- Investigating the web of data today -- SPARQL -- Sindice -- LDSpider: an RDF web crawler -- 9. The future of web metrics and the library and information professional. How far we have come -- The future of web metrics -- The future of the library and information professional and web metrics.
- RSWK
- Bibliothek / World Wide Web / World Wide Web 2.0 / Analyse / Statistik
Bibliometrie / Semantic Web / Soziale Software
- Subject
- Bibliothek / World Wide Web / World Wide Web 2.0 / Analyse / Statistik
Bibliometrie / Semantic Web / Soziale Software
-
Shiri, A.: Powering search : the role of thesauri in new information environments (2012)
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- Abstract
- Powering search offers a clear and comprehensive treatment of the role of thesauri in search user interfaces across a range of information search and retrieval systems - from bibliographic and full-text databases to digital libraries, portals, open archives, and content management systems.
- Content
- Thesauri : introduction and recent developments -- Thesauri in interactive information retrieval -- User-centered approach to the evaluation of thesauri : query formulation and expansion -- Thesauri in web-based search systems -- Thesaurus-based search and browsing functionalities in new thesaurus construction standards -- Design of search user interfaces for thesauri -- Design of user interfaces for multilingual and meta-thesauri -- User-centered evaluation of thesaurus-enhanced search user interfaces -- Guidelines for the design of thesaurus-enhanced search user interfaces -- Current trends and developments.
- LCSH
- Information storage and retrieval systems
Information retrieval
World Wide Web
- RSWK
- Information Retrieval
- Subject
- Information Retrieval
Information storage and retrieval systems
Information retrieval
World Wide Web
-
Kempf, A.O.; Baum, K.: Von der Ein-Datenbank-Suche zum verteilten Suchszenario : Zum Aufbau von Crosskonkordanzen zwischen der Fachklassifikation Sozialwissenschaften und der Dewey-Dezimalklassifikation (2013)
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- Content
- Folien eines Vortrages, 5. Kongress Bibliothek & Information Deutschland, Leipzig, 11.-14. März 2013.
-
Concepts in Context : Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization July 19th - 20th, 2010 (2011)
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- Content
- Winfried Gödert: Programmatic Issues and Introduction - Dagobert Soergel: Conceptual Foundations for Semantic Mapping and Semantic Search - Jan-Helge Jacobs, Tina Mengel, Katrin Müller: Insights and Outlooks: A Retrospective View on the CrissCross Project - Yvonne Jahns, Helga Karg: Translingual Retrieval: Moving between Vocabularies - MACS 2010 - Jessica Hubrich: Intersystem Relations: Characteristics and Functionalities - Stella G Dextre Clarke: In Pursuit of Interoperability: Can We Standardize Mapping Types? - Philipp Mayr, Philipp Schaer, Peter Mutschke: A Science Model Driven Retrieval Prototype - Claudia Effenberger, Julia Hauser: Would an Explicit Versioning of the DDC Bring Advantages for Retrieval? - Gordon Dunsire: Interoperability and Semantics in RDF Representations of FRBR, FRAD and FRSAD - Maja Zumer: FRSAD: Challenges of Modeling the Aboutness - Michael Panzer: Two Tales of a Concept: Aligning FRSAD with SKOS - Felix Boteram: Integrating Semantic Interoperability into FRSAD
- Date
- 22. 2.2013 11:34:18
- RSWK
- Wissensorganisation / Information Retrieval / Kongress / Köln <2010>
- Subject
- Wissensorganisation / Information Retrieval / Kongress / Köln <2010>
-
Heuvel, C. van den: Multidimensional classifications : past and future conceptualizations and visualizations (2012)
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- Abstract
- This paper maps the concepts "space" and "dimensionality" in classifications, in particular in visualizations hereof, from a historical perspective. After a historical excursion in the domain of classification theory of what in mathematics is known as dimensionality reduction in representations of a single universe of knowledge, its potentiality will be explored for information retrieval and navigation in the multiverse of the World Wide Web.
- Date
- 22. 2.2013 11:31:25
-
Euzenat, J.; Shvaiko, P.: Ontology matching (2010)
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- Abstract
- Ontologies are viewed as the silver bullet for many applications, but in open or evolving systems, different parties can adopt different ontologies. This increases heterogeneity problems rather than reducing heterogeneity. This book proposes ontology matching as a solution to the problem of semantic heterogeneity, offering researchers and practitioners a uniform framework of reference to currently available work. The techniques presented apply to database schema matching, catalog integration, XML schema matching and more. Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaiko's book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g., databases, information systems, artificial intelligence. With Ontology Matching, researchers and practitioners will find a reference book which presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can equally be applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting (i) the state of the art and (ii) the latest research results in ontology matching by providing a detailed account of matching techniques and matching systems in a systematic way from theoretical, practical and application perspectives.
- Date
- 20. 6.2012 19:08:22
- LCSH
- Ontologies (Information retrieval)
World wide web
- RSWK
- Datenintegration / Informationssystem / Matching / Ontologie <Wissensverarbeitung> / Schema <Informatik> / Semantic Web
- Subject
- Datenintegration / Informationssystem / Matching / Ontologie <Wissensverarbeitung> / Schema <Informatik> / Semantic Web
Ontologies (Information retrieval)
World wide web
-
Oliveira Machado, L.M.; Souza, R.R.; Simões, M. da Graça: Semantic web or web of data? : a diachronic study (1999 to 2017) of the publications of Tim Berners-Lee and the World Wide Web Consortium (2019)
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- Abstract
- The web has been, in the last decades, the place where information retrieval achieved its maximum importance, given its ubiquity and the sheer volume of information. However, its exponential growth made the retrieval task increasingly hard, relying in its effectiveness on idiosyncratic and somewhat biased ranking algorithms. To deal with this problem, a "new" web, called the Semantic Web (SW), was proposed, bringing along concepts like "Web of Data" and "Linked Data," although the definitions and connections among these concepts are often unclear. Based on a qualitative approach built over a literature review, a definition of SW is presented, discussing the related concepts sometimes used as synonyms. It concludes that the SW is a comprehensive and ambitious construct that includes the great purpose of making the web a global database. It also follows the specifications developed and/or associated with its operationalization and the necessary procedures for the connection of data in an open format on the web. The goals of this comprehensive SW are the union of two outcomes still tenuously connected: the virtually unlimited possibility of connections between data-the web domain-with the potentiality of the automated inference of "intelligent" systems-the semantic component.
- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.7, S.701-714
- Theme
- Semantic Web
-
Berri, J.; Benlamri, R.: Context-aware mobile search engine (2012)
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- Abstract
- Exploiting context information in a web search engine helps fine-tuning web services and applications to deliver custom-made information to end users. While context, including user and environment information, cannot be exploited efficiently in the wired Internet interaction type, it is becoming accessible with the mobile web where users have an intimate relationship with their handsets. In this type of interaction, context plays a significant role enhancing information search and therefore, allowing a search engine to detect relevant content in all digital forms and formats. This chapter proposes a context model and an architecture that promote integration of context information for individuals and social communities to add value to their interaction with the mobile web. The architecture relies on efficient knowledge management of multimedia resources for a wide range of applications and web services. The research is illustrated with a corporate case study showing how efficient context integration improves usability of a mobile search engine.
- Source
- Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
