Erweiterte Suche der Leibniz Universität Hannover
Weitere Suchvorschläge: Retrieval, queries, finding, Wikipedia
1 bis 15 von 153 Ergebnissen
How did the predominant sentiment about him vary during that period? Were there any controversial sub periods? What other entities were related to him during these periods? To answer these questions, one needs to analyze archived documents and data about the query entities, such as old news articles or social media archives. In particular, user generated content posted in social networks, like Twitter and Facebook, can be see...
From web data to entities and back verfasst von Zolt n Mikl s, Nicolas Bonvin, Paolo Bouquet, Michele Catasta, Daniele Cordioli, Peter Fankhauser, Julien Gaugaz, Ekaterini Ioannou, Hristo Koshutanski, Antonio Ma a, Claudia Nieder e, Themis Palpanas, Heiko Stoermer Abstract We present the Entity Name System ENS , an enabling infrastructure, which can host descriptions of named entities and provide unique identifiers, on large ...
Why finding entities in Wikipedia is difficult, sometimes verfasst von Gianluca Demartini, Claudiu S. Firan, Tereza Iofciu, Ralf Krestel, Wolfgang Nejdl Abstract Entity Retrieval ER in comparison to classical search aims at finding individual entities instead of relevant documents. Finding a list of entities requires therefore techniques different to classical search engines. In this paper, we present a model to desc...
Discourse referents for nonspecific entities of described nonfactual situations verfasst von Berry Claus Externe Organisation en Universität des Saarlandes Typ Aufsatz in Konferenzband Publikationsdatum 2008 Publikationsstatus Veröffentlicht Peer reviewed Ja BibTeX inproceedings 70183a2fcfdf4e14baaaf744cf8456af, title Discourse referents for nonspecific entities of described nonfactual situations , author Berry Claus , year 2...
AGDISTIS Agnostic Disambiguation of Named Entities Using Linked Open Data verfasst von Ricardo Usbeck, Axel Cyrille Ngonga Ngomo, Michael Röder, Daniel Gerber, Sandro Athaide Coelho, Sören Auer, Andreas Both Externe Organisation en Universität Leipzig RandD, Unister GmbH Universidade Federal de Juiz de Fora Rheinische Friedrich Wilhelms Universität Bonn Fraunhofer Institut für Intelligente Analyse und Informationssysteme IAIS Typ Aufs...
Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High impact Events verfasst von Tuan Tran, Claudia Nieder e, Nattiya Kanhabua, Ujwal Gadiraju, Avishek Anand Abstract Long running, high impact events such as the Boston Marathon bombing often develop through many stages and involve a large number of entities in their unfolding.
Firan, Tereza Iofciu, Wolfgang Nejdl Abstract Users often want to find entities instead of just documents, i.e., finding documents entirely about specific real world entities rather than general documents where the entities are merely mentioned. Searching for entities on Web scale repositories is still an open challenge as the effectiveness of ranking is usually not satisfactory. Semantics can be used in thi...
The conformal geometric algebra is a geometric algebra which models entities as stereographically projected entities in a homogeneous model. This leads to a linear description of kinematics on the one hand and projective geometry on the other hand.
Given an entity, for instance a person or an organization, entity relatedness measures can be exploited for generating a list of highly related entities. However, the relation of an entity to some other entity depends on several factors, with time and context being two of the most important ones where, in our case, context is determined by a particular corpus . For example, the entities related to the International Monetary F...
Probabilistic Vehicle Reconstruction Using a Multi Task CNN verfasst von Max Coenen, Franz Rottensteiner Abstract The retrieval of the 3D pose and shape of objects from images is an ill posed problem. A common way to object reconstruction is to match entities such as keypoints, edges, or contours of a deformable 3D model, used as shape prior, to their corresponding entities inferred from the image.
FALCON: An Entity and Relation Linking Framework over DBpedia verfasst von Ahmad Sakor, Kuldeep Singh, Maria Esther Vidal Abstract We tackle the problem of entity and relation linking and present FALCON, a rule based tool able to accurately map entities and relations in short texts to resources in a knowledge graph. FALCON resorts to fundamental principles of the English morphology e.g., compounding and headword identification and per...
This allows running advanced queries by combining metadata of the documents like publication date and content based semantic information like entities mentioned in the documents . However, the results returned by such structured queries can be numerous and moreover they all equally match the query.
Following the Linked Data principles, InterpretME establishes connections between entities in the InterpretME KG and their counterparts in existing KGs, thus, enhancing contextual information of the InterpretME KG entities.
GeoVectors A Linked Open Corpus of OpenStreetMap Embeddings on World Scale verfasst von Nicolas Tempelmeier, Simon Gottschalk, Elena Demidova Abstract OpenStreetMap OSM is currently the richest publicly available information source on geographic entities e.g., buildings and roads worldwide. However, using OSM entities in machine learning models and other applications is challenging due to the large scale of OSM, the extreme h...
This enables to run advanced queries by combining metadata of the documents like publication date and content based semantic information like entities mentioned in the documents . However, the results returned by structured queries can be numerous and also they all equally match the query.
1 bis 15 von 153 Ergebnissen