%0 Conference Paper %1 Hellmann-2013-iswc %A Hellmann, Sebastian %A Lehmann, Jens %A Auer, Sören %A Brümmer, Martin %B 12th International Semantic Web Conference, 21-25 October 2013, Sydney, Australia %D 2013 %K 2013 MOLE auer bruemmer event_ISWC group_aksw hellmann kilt lehmann lod2page %T Integrating NLP using Linked Data %U http://svn.aksw.org/papers/2013/ISWC_NIF/public.pdf %X We are currently observing a plethora of Natural Language Processing tools and services being made available. Each of the tools and services has its particular strengths and weaknesses, but exploiting the strengths and synergistically combining different tools is currently an extremely cumbersome and time consuming task. Also, once a particular set of tools is integrated, this integration is not reusable by others. We argue that simplifying the interoperability of different NLP tools performing similar but also complementary tasks will facilitate the comparability of results and the creation of sophisticated NLP applications. In this paper, we present the NLP Interchange Format (NIF). NIF is based on a Linked Data enabled URI scheme for identifying elements in (hyper-)texts and an ontology for describing common NLP terms and concepts. In contrast to more centralized solutions such as UIMA and GATE, NIF enables the creation of heterogeneous, distributed and loosely coupled NLP applications, which use the Web as an integration platform. We present several use cases of the second version of the NIF specification (NIF 2.0) and the result of a developer study.

@inproceedings{Hellmann-2013-iswc, abstract = {We are currently observing a plethora of Natural Language Processing tools and services being made available. Each of the tools and services has its particular strengths and weaknesses, but exploiting the strengths and synergistically combining different tools is currently an extremely cumbersome and time consuming task. Also, once a particular set of tools is integrated, this integration is not reusable by others. We argue that simplifying the interoperability of different NLP tools performing similar but also complementary tasks will facilitate the comparability of results and the creation of sophisticated NLP applications. In this paper, we present the NLP Interchange Format (NIF). NIF is based on a Linked Data enabled URI scheme for identifying elements in (hyper-)texts and an ontology for describing common NLP terms and concepts. In contrast to more centralized solutions such as UIMA and GATE, NIF enables the creation of heterogeneous, distributed and loosely coupled NLP applications, which use the Web as an integration platform. We present several use cases of the second version of the NIF specification (NIF 2.0) and the result of a developer study.}, added-at = {2024-03-04T14:14:15.000+0100}, author = {Hellmann, Sebastian and Lehmann, Jens and Auer, S\"oren and Br{\"u}mmer, Martin}, bdsk-url-1 = {http://svn.aksw.org/papers/2013/ISWC_NIF/public.pdf}, biburl = {https://www.bibsonomy.org/bibtex/2a9250bd4704cce4b285b42d7092b827e/aksw}, booktitle = {12th International Semantic Web Conference, 21-25 October 2013, Sydney, Australia}, interhash = {16b232ee47300146f8edd22b82d31409}, intrahash = {a9250bd4704cce4b285b42d7092b827e}, keywords = {2013 MOLE auer bruemmer event_ISWC group_aksw hellmann kilt lehmann lod2page}, owner = {soeren}, timestamp = {2024-03-04T14:14:15.000+0100}, title = {Integrating NLP using Linked Data}, url = {http://svn.aksw.org/papers/2013/ISWC_NIF/public.pdf}, year = 2013 }