A German Natural Language Interface for Semantic Search

Survey on challenges of Question Answering in the Semantic Web

“…A more flexible approach is to have SQA systems that can handle multiple input languages, which may even differ from the language used to encode the knowledge. Deines and Krechel [41] use GermaNet [68] which is integrated into the multilingual knowledge base EuroWordNet [140] together with lemon-LexInfo [23], to answer German questions. Aggarwal et al [3] only need to successfully translate part of the query after which the recognition of the other entities is aided using semantic similarity and relatedness measures between resources connected to the initial ones in the knowledge base.…”

“…Adolphs et al [2] YAGO-QA 2011 X X Blanco et al [18] Blanco11 2011 X Canitrot et al [27] KOMODO 2011 X X Damljanovic et al [37] FREyA 2011 X X X Ferrandez et al [49] QALL-ME 2011 X X Freitas et al [56] Treo 2011 X X X X Gao et al [61] TPSM 2011 X X Kalyanpur et al [85] Watson 2011 X Melo et al [95] Melo11 2011 X X Moussa and Abdel-Kader [100] QASYO 2011 X X Ou and Zhu [107] Ou11 2011 X X X X Shen et al [124] Shen11 2011 X Unger and Cimiano [133] Pythia 2011 X Unger and Cimiano [134] Pythia 2011 X X X X Bicer et al [16] KOIOS 2011 X X Freitas et al [55] Treo 2011 X Ben Abacha and Zweigenbaum [14] MM+/BIO-CRF-H 2012 X Boston et al [20] Wikimantic 2012 X Gliozzo and Kalyanpur [64] Watson 2012 X Joshi et al [84] ALOQUS 2012 X X Lehmann et al [89] DEQA 2012 X X X Yahya et al [145] DEANNA 2012 Yahya et al [146] DEANNA 2012 X X Shekarpour et al [118] SINA 2012 X X Unger et al [135] TBSL 2012 X X X Walter et al [141] BELA 2012 X X X X Younis et al [149] Younis12 2012 X X Welty et al [142] Watson 2012 X Elbedweihy et al [46] Elbedweihy12 2012 X Cabrio et al [24] QAKiS 2012 X Demartini et al [43] CrowdQ 2013 X X Aggarwal et al [3] Aggarwal12 2013 X X X Deines and Krechel [41] GermanNLI 2013 X Dima [44] Intui2 2013 X X Fader et al [48] PARALEX 2013 X X X X Ferre [50] SQUALL2SPARQL 2013 X X X Giannone et al [63] RTV 2013 X X Hakimov et...…”

Adaptive Semantics Visualization

“…The question-answering systems are equivalent to the Lookup activity in Marchionini's model and the focused search in the search process of White and Roth. Deines and Kreschel proposed a system that is translating the human natural language into SPARQL queries and provides facts as responses of domain ontologies [DK13]. Their system makes use of text-based and semantic-based similarities for identifying resources in ontologies and generates an adequate SPARQL query that retrieves the right fact with a precision and recall of 66% [DK13].…”

“…Deines and Kreschel proposed a system that is translating the human natural language into SPARQL queries and provides facts as responses of domain ontologies [DK13]. Their system makes use of text-based and semantic-based similarities for identifying resources in ontologies and generates an adequate SPARQL query that retrieves the right fact with a precision and recall of 66% [DK13]. Figure 3.9 illustrates the general procedure of their natural language interface (LNI) for the naturally verbalized question "Where did Bismarck die?"…”

“…Figure 3.9 illustrates the general procedure of their natural language interface (LNI) for the naturally verbalized question "Where did Bismarck die?" to the formal SPARQL expression: SELECT DISTINCT ?var WHERE {:Otto_von_Bismarck :deathPlace ?var} [DK13].…”