Jörg Waitelonis

Jörg Waitelonis
FIZ Karlsruhe - Leibniz Institute for Information Infrastructure | FIZ

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32
Publications
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617
Citations

Publications

Publications (32)
Article
In recent years, named entity linking (NEL) tools were primarily developed in terms of a general approach, whereas today numerous tools are focusing on specific domains such as e.g. the mapping of persons and organizations only, or the annotation of locations or events in microposts. However, the available benchmark datasets necessary for the evalu...
Conference Paper
Full-text available
The growing amount of documents in archives and blogs results in an increasing challenge for curators and authors to tag, present, and recommend their content to the user. refer comprises a set of powerful tools focusing on Named Entity Linking (NEL) which help authors and curators to semi-automatically analyze a platform's textual content and sema...
Conference Paper
Full-text available
In recent years, named entity linking (NEL) tools were primarily developed as general approaches, whereas today numerous tools are focusing on specific domains such as e.g. the mapping of persons and organizations only, or the annotation of locations or events in microposts. However, the available benchmark datasets used for the evaluation of NEL t...
Conference Paper
The German National Library of Science and Technology (TIB) aims to promote the use and distribution of its collections. In this context TIB publishes metadata of scientific videos from the TIB|AV Portal as linked open data. Unlike other library metadata the TIB|AV-Portal deploys automated metadata extraction and named entity linking to provide tim...
Conference Paper
The majority of web assets cannot be understood by machines, because of the lack of available explicit and machine readable semantics. By enabling machines to understand the meaning of web media, fully automated discovery, processing, and linking become feasible. Semantic Web technologies offer the possibility to enhance web resources with explicit...
Conference Paper
Full-text available
This paper presents the KEA system at the #Microposts 2016 NEEL Challenge. Its task is to recognize and type mentions from English microposts and link them to their corresponding entries in DBpedia. For this task, we have adapted our Named Entity Disambiguation tool originally designed for natural language text to the special requirements of noisy,...
Conference Paper
Full-text available
The vast amount of information on the Web poses a challenge when trying to identify the most important facts. Many fact ranking algorithms have emerged, however, thus far there is a lack of a general domain, objective gold standard that would serve as an evaluation benchmark for comparing such systems. We present FRanCo, a ground truth for fact ran...
Conference Paper
Full-text available
The need to bridge between the unstructured data on the Document Web and the structured data on the Web of Data has led to the development of a considerable number of annotation tools. However, these tools are currently still hard to compare since the published evaluation results are calculated on diverse datasets and evaluated based on different m...
Chapter
Full-text available
Videodaten sind auf dem besten Wege zur bedeutendsten Informationsquelle im World Wide Web zu werden. Bereits heute werden pro Minute mehr als 100 Stunden Videomaterial1 von den Benutzern auf Videoplattformen wie YouTube eingestellt. Bei dieser gewaltigen Menge an unstrukturierten multimedialen Daten wird auch die gezielte Informationssuche immer s...
Article
Full-text available
An ever-growing amount of digitized content urges libraries and archives to integrate new media types from a large number of origins such as publishers, record labels and film archives, into their existing collections. This is a challenging task, since the multimedia content itself as well as the associated metadata is inherently heterogeneous—the...
Conference Paper
Full-text available
Today's search engines provide instant keyword-based auto-suggestion and completion of the user's search queries. This paper presents a novel auto-suggestion interface for the Semantic Multimedia Explorer (SEMEX), a semantic search engine that supports entity-based exploratory video retrieval. In difference to traditional text-based retrieval, auto...
Article
Full-text available
Purpose – Linking Open Data (LOD) provides a vast amount of well structured semantic information, but many inconsistencies may occur, especially if the data are generated with the help of automated methods. Data cleansing approaches enable detection of inconsistencies and overhauling of affected data sets, but they are difficult to apply automatica...
Article
Full-text available
This paper presents the Semantic Multimedia Explorer (SEMEX) a seman-tic search engine that supports exploratory video retrieval. SEMEX combines entities and content-based suggestions to support semantic search. The SEMEX interface pro-vides facet filters, entity recommendations, a pagination and browsable search results; all of these elements are...
Conference Paper
Full-text available
The phenomenal increase of online video content confronts the consuming user with an immeasurable amount of data which can only be accessed with sophisticated multimedia search and management technologies. Usual video search engines provide a keyword-based search, where lexical ambiguity of natural language often leads to imprecise and incomplete r...
Article
Full-text available
This paper presents the semantic search engine CONTEN-TUS [7] and its user interface, a multimedia retrieval sys-tem developed in the context of the German research project THESEUS 1 . This interface uses content-based suggestions and a multi-modal presentation of search results to support semantic search. In addition, the system deploys a combi-na...
Conference Paper
Full-text available
In recent years, especially audiovisual media have become the predominant media of the internet. To enable content based video retrieval, high quality textual metadata have to be provided that describe the content. Keyword-based search in general is particularly applicable if the searcher really knows what she is looking for and how to find it, i.e...
Article
Full-text available
Linked Open Data has become one of the driving forces for the emerging Semantic Web, which enables interlinking and integrating former proprietary data to the global linked data by using RDF as a standard data format. In this paper we show how to integrate the database of the open academic video search plattform yovisto.com with the linked open dat...
Article
Full-text available
With the exponential growth of video data on the World Wide Web comes the challenge of efficient methods in video content management, content-based video search, filtering and browsing. But, video data often lacks sufficient meta-data to open up the video content and to enable pinpoint content-based search. With the advent of the 'web of data' as a...
Article
Full-text available
Today, searching the World Wide Web in most cases turns out in looking for a specific item, which means that the user should know the item in advance. In the future internet, searching for infor-mation comes closer to the notion of 'window shopping' by means of exploratory and semantic search technologies. In the course of the ex-ploratory search p...
Article
Full-text available
Abstract—Keyword-based,search,in general,is particularly applicable if the searcher,really knows,what,she is looking for and,how,to find it. But in many,cases either the objectives of the searcher,are intrinsically fuzzy or she has no idea of the appropriate,keywords. One way,to solve this problem,is to navigate and explore the search space along a...
Article
Full-text available
Today, using podcast is a well known and more and more accepted tool in academia to store and share knowledge. Podcasting can enhance the learning effect and trains media competences, if done by the students itself. Letting the students create enhanced or video podcast in seminars, instead of giving presentations, allows more educationally valuable...
Conference Paper
This paper introduces annotation of multimedia data such as academic lecture recordings to realize content based and semantic search within the multimedia data. This can be achieved through automated multimedia retrieval methods as well as manual collaborative annotation. Furthermore, the paper discusses the use of social networking information of...
Conference Paper
Full-text available
Searching multimedia data in particular audiovisual data is still a challenging task to fulfill. The number of digital video recordings has increased dramatically as recording technology has become more af- fordable and network infrastructure has become easy enough to provide download and streaming solutions. But, the accessibility and traceabil- i...
Conference Paper
Full-text available
Die Video-Suchmaschine OSOTIS erm¨ oglicht eine automatische inhaltsbe- zogene Annotation von Videodaten und dadurch eine zielgenaue Suche auch innerhalb einzelner Videoaufzeichnungen. Neben objektiv gewonnenen zeitabh¨ angigen Deskrip- toren, die ¨ uber eine automatische Synchronisation von ggf. zus¨ atzlich vorhandenem textbasiertem Material mit...
Article
Full-text available
Collaborative tagging systems have become rather popular for annotating any kind of resources ranging from electronic documents to real world objects. In current tagging systems resources as a whole are annotated with and referenced by user defined tags. For multimedia data, as e. g. for video data, single scenes can be identified and annotated by...
Article
Full-text available
Semantic annotation of multimedia data for improving search engine performance is an important issue. We have focused on the automated annotation of video recordings of university lectures. Most times these lec- tures are supported by a desktop presentation provided by the lecturer. This presentation in general contains an outline of the given lect...

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