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D3.2 Research Challenge Report v2

Christian Fäth, Christian Chiarcos, Jorge Gracia, Julia Bosque-Gil, Bernardo Stearns, John P. McCrae, Fernando Bobillo, Philipp Cimiano, Thierry Declerck, Mohammad Fazleh Elahi, Basil Ell, Julian Grosse (+4 others)
2020 Zenodo  
WP3 three research challenges are tackled by three respective tasks, each responsible for one software component: ● Task 3.1 , Prêt-à-LLOD Transform addresses the challenge of " Transforming language resources  ...  Methodologies are developed for the transformation of language resources and language data into LLOD representations. ● Task 3.2 , Prêt-à-LLOD Link addresses the challenge of " Linking conceptual and lexical  ...  Wikipedia page about Germany for the DBpedia entity dbr:Germany .)  ... 
doi:10.5281/zenodo.5744508 fatcat:zukppmtuebcrhevwpzz2u3gdoy

Graph-Embedding Empowered Entity Retrieval [chapter]

Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries
2020 Lecture Notes in Computer Science  
The paper shows that graph embeddings are useful for entity-oriented search tasks.  ...  We demonstrate empirically that encoding information from the knowledge graph into (graph) embeddings contributes to a higher increase in effectiveness of entity retrieval results than using plain word  ...  one: score total (E, Q) = (1 − λ) · score other (E, Q) + λ · F (E, Q) λ ∈ [0, 1]. (6) Experimental Setup Test Collection In our experiments, we used the DBpedia-Entity V2 test collection [12] .  ... 
doi:10.1007/978-3-030-45439-5_7 fatcat:klpoje6gvfhgva22uwsht7o4we

Keyword Search over RDF Using Document-Centric Information Retrieval Systems [chapter]

Giorgos Kadilierakis, Pavlos Fafalios, Panagiotis Papadakos, Yannis Tzitzikas
2020 Lecture Notes in Computer Science  
Contrary to other works that mainly retrieve entities, we opt for retrieving triples, due to their expressiveness and informativeness.  ...  As a result, various approaches exploit the simpler and widely used keyword-based search paradigm, either by translating keyword queries to structured queries, or by adopting classical information retrieval  ...  Test Collection and Setup For our experiments we used the DBpedia-Entity test collection for entity search [10] , which is based on a DBpedia dump of 2015-10.  ... 
doi:10.1007/978-3-030-49461-2_8 fatcat:ic3bye2m4bd6bkc2i3d63m55zq

Joint Word and Entity Embeddings for Entity Retrieval from a Knowledge Graph [chapter]

Fedor Nikolaev, Alexander Kotov
2020 Lecture Notes in Computer Science  
a knowledge graph's local structure and structural components, such as entities, attributes, and categories, and is designed specifically for entity search.  ...  Recent years have witnessed the emergence of novel models for ad-hoc entity search in knowledge graphs of varying complexity.  ...  resolution by experts, are standard test collections for evaluating entity search methods.  ... 
doi:10.1007/978-3-030-45439-5_10 fatcat:zqh3dnrjavertpyznebtmkyioa

GQA: Grammatical Question Answering for RDF Data [chapter]

Elizaveta Zimina, Jyrki Nummenmaa, Kalervo Järvelin, Jaakko Peltonen, Kostas Stefanidis, Heikki Hyyrö
2018 Communications in Computer and Information Science  
This paper introduces Grammatical Question Answering (GQA), a system for answering questions in the English language over DBpedia, which involves parsing of questions by means of Grammatical Framework  ...  Nowadays, we observe a rapid increase in the volume of RDF knowledge bases (KBs) and a need for functionalities that will help users access them in natural language without knowing the features of the  ...  We collected the labels of all properties in the 2016-04 version of DBpedia.  ... 
doi:10.1007/978-3-030-00072-1_8 fatcat:7r2p4e7msve7biujtuqtghd4tu

Term-Based Models for Entity Ranking [chapter]

Krisztian Balog
2018 Advanced Topics in Information Retrieval  
We will also introduce an extension to multiple document fields, as a mechanism for preserving some of the structure associated with entities.  ...  In Chap. 2, we have introduced large-scale knowledge repositories, like Wikipedia and DBpedia, that are devoted to organizing information around entities in a (semi-)structured format.  ...  [38] introduced an updated and extended version, referred to as the DBpedia-Entity v2 test collection. It uses a more recent version of DBpedia (2015-10) and comes with graded relevance judgments.  ... 
doi:10.1007/978-3-319-93935-3_3 fatcat:dtyxpoiqsbfhtm6m5q24oxp5ii

Extracting Novel Facts from Tables for Knowledge Graph Completion [chapter]

Benno Kruit, Peter Boncz, Jacopo Urbani
2019 Lecture Notes in Computer Science  
We introduce a new technique for table interpretation based on a scalable graphical model using entity similarities.  ...  We propose a new end-to-end method for extending a Knowledge Graph (KG) from tables.  ...  Because of their relational nature, such large collections of web tables are suitable for supporting table search [31] or for answering specific factual queries [28] .  ... 
doi:10.1007/978-3-030-30793-6_21 fatcat:ocfjoeu6nzfrnplfy7ibddhuv4

A Critical Assessment of State-of-the-Art in Entity Alignment [article]

Max Berrendorf and Ludwig Wacker and Evgeniy Faerman
2021 arXiv   pre-print
We also examine different initializations for entity representations since they are a decisive factor for model performance.  ...  Furthermore, we use a shared train/validation/test split for a fair evaluation setting in which we evaluate all methods on all datasets. In our evaluation, we make several interesting findings.  ...  In our experiments, we use all graph pairs with 15k entities (15K) in the dense variant (V2), i.e., en-de-15k-v2, en-fr-15k-v2, d-y-15k-v2, d-w-15k-v2.  ... 
arXiv:2010.16314v2 fatcat:l4s3e6zoyncelfgieuutt243eq

Extracting Novel Facts from Tables for Knowledge Graph Completion (Extended version) [article]

Benno Kruit and Peter Boncz and Jacopo Urbani
2019 arXiv   pre-print
We introduce a new technique for table interpretation based on a scalable graphical model using entity similarities.  ...  We propose a new end-to-end method for extending a Knowledge Graph (KG) from tables.  ...  Because of their relational nature, such large collections of web tables are suitable for supporting table search [32] or for answering specific factual queries [29] .  ... 
arXiv:1907.00083v2 fatcat:svq5v2jp4jbljegm3qdouijlce

DBpedia spotlight

Pablo N. Mendes, Max Jakob, Andrés García-Silva, Christian Bizer
2011 Proceedings of the 7th International Conference on Semantic Systems - I-Semantics '11  
As a step towards interconnecting the Web of Documents with the Web of Data, we developed DBpedia Spotlight, a system for automatically annotating text documents with DBpedia URIs.  ...  DBpedia Spotlight is shared as open source and deployed as a Web Service freely available for public use.  ...  The collection of occurrences for each resource was then stored as a document in a Lucene index 1 for retrieval in the disambiguation stage.  ... 
doi:10.1145/2063518.2063519 dblp:conf/i-semantics/MendesJGB11 fatcat:7yvv5phx6bfupghxjkp4zm5x7u

Top-k Relevant Semantic Place Retrieval on Spatial RDF Data

Jieming Shi, Dingming Wu, Nikos Mamoulis
2016 Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16  
We design a basic method for the processing of kSP queries. To further accelerate kSP retrieval, two pruning approaches and a data preprocessing technique are proposed.  ...  In this work, we propose and study a novel location-based keyword search query on RDF data.  ...  In accordance to previous work on RDF keyword search, we construct, for each entity, a document from the entity's URI and literals.  ... 
doi:10.1145/2882903.2882941 dblp:conf/sigmod/ShiWM16 fatcat:v2pbun5x45gkndtk6el5kxje4y

Cognitive Aspects-Based Short Text Representation with Named Entity, Concept and Knowledge

Wenfeng Hou, Qing Liu, Longbing Cao
2020 Applied Sciences  
Since word, entity, concept and knowledge entity in the same short text have different cognitive informativeness for short text classification, attention networks are formed to capture these category-related  ...  In this paper, we propose a named Entity-based Concept Knowledge-Aware (ECKA) representation model which incorporates semantic information into short text representation.  ...  Finally, the knowledge graph for the relevant entities can be obtained through DBpedia.  ... 
doi:10.3390/app10144893 fatcat:uotbuk4tajcghmmwrlnkbkrfze

A survey on semantic question answering systems

Christina Antoniou, Nick Bassiliades
2022 Knowledge engineering review (Print)  
The SQA systems use a formal query language like SPARQL and knowledge of a specific vocabulary.  ...  Intui2 system was evaluated in QALD-3 DBpedia test and QALD-3 DBpedia train. LAMA, ComQA, and IQA system can support complex questions (multiple entities and relations).  ...  For NE extraction, Spotlight is applied which is responsible to map entities in question to entities of DBpedia.  ... 
doi:10.1017/s0269888921000138 fatcat:3aml27j2ezcppgq3dq3qhe5dqe

A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs [article]

Zequn Sun and Qingheng Zhang and Wei Hu and Chengming Wang and Muhao Chen and Farahnaz Akrami and Chengkai Li
2020 arXiv   pre-print
Hence, we propose a new KG sampling algorithm, with which we generate a set of dedicated benchmark datasets with various heterogeneity and distributions for a realistic evaluation.  ...  Recent advancement in KG embedding impels the advent of embedding-based entity alignment, which encodes entities in a continuous embedding space and measures entity similarities based on the learned embeddings  ...  Differently, collective search [40, 57] aims to find a global optimal alignment that minimizes (e 1 ,e 2 )∈S KG 1 ,KG 2 π(e1, e2).  ... 
arXiv:2003.07743v1 fatcat:4afpdas2ojbknojdvdbsi26jri

Ad hoc retrieval via entity linking and semantic similarity

Faezeh Ensan, Weichang Du
2018 Knowledge and Information Systems  
In this paper, we propose a novel semantic retrieval framework that uses semantic entity linking systems for forming a graph representation of documents and queries, where nodes represent concepts extracted  ...  Knowl Inf Syst Abstract Semantic search has emerged as a possible way for addressing the challenges of traditional keyword-based retrieval systems such as the vocabulary gap between the query and document  ...  In their model, a mixture of language models is employed for retrieving entities that are represented in a five-field scheme, which is designed for DBpedia entities.  ... 
doi:10.1007/s10115-018-1190-1 fatcat:i54ocl6etngkpkcx62mhxilfxe
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