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<pre>
                                                                     Preface
                                The forth edition of the workshop series Patent Text Mining and Semantic Tech-
                                nologies (PatentSemTech’23) was held as a full-day event in conjunction with
                                the SIGIR 2023 conference. The workshop focused on research and new de-
                                velopments from relevant fields such as Natural Language Processing, Text and
                                Data Mining and Semantic Technologies applied to Patent Retrieval and Patent
                                Analytics. One important focus of the workshop was to address the adaptation
                                of existing NLP, MP/DL tools for search and analytics due to the complexity of
                                patent documents being a lengthy, heterogeneous type of scientific text cover-
                                ing diverse scientific subject areas, such as chemistry, pharmacology,etc. Thus,
                                patent data is more difficult to analyse compared to corpora comprising gen-
                                eral language texts. Working with patent data, besides its challenging aspects,
                                does bring a richness of facets to be exploited with text-mining and semantic
                                analysis methods as well: (1) It constitutes a huge corpus of scientific-technical
                                documents for a variety of technological domains. (2) They are rich in avail-
                                able meta-data such as spatial data, bibliographic data, classifications, temporal
                                data, etc. (3) Patents describe essential scientific-technical knowledge enclosing
                                solutions for real-world applications. (4) They are complementary knowledge to
                                scientific literature, e.g. chemical and physical properties, bio-science knowledge
                                for drug-target-interaction, which appears first in patents, mostly not published
                                elsewhere.
                                    With the PatentSemTech2023 workshop we continued our series of work-
                                shops launched in 2019, aiming to establish a long-term collaboration and a
                                two-way communication channel between the IP industry and academia from
                                relevant fields. Therefore, the 4th PatentSemTech workshop was organized as
                                a full-day event with research paper presentations (2 long and 5 short) that
                                were accepted after peer-reviewing, a hands-on summarization session and an
                                open panel discussion around the topics “LLMs and Patent data” as well as
                                “Knowledge Graphs for Patent Data”.

                                   Germany, Austria, USA, July 2023                                     Ralf Krestel,
                                                                                                         Hidir Aras,
                                                                                                   Linda Andersson,
                                                                                                       Florina Piroi,
                                                                                                     Allan Hanbury,
                                                                                                     Dean Alderucci




                                    Copyright © 2023 for this text by its authors. Use permitted under Creative Commons
                                License Attribution 4.0 International (CC BY 4.0).


                                                                           i


CEUR
                  ceur-ws.org
Workshop      ISSN 1613-0073
Proceedings
                             Organizers
  • Ralf Krestel (Hasso Plattner Institute, University of Potsdam, German)
  • Hidir Aras (FIZ Karlsruhe, Germany)
  • Linda Andersson (Artificial Researcher IT GmbH, Vienna, Austria)
  • Florina Piroi (Data Science Studio, Vienna, Austria)

  • Allan Hanbury (TU Wien, Austria)
  • Dean Alderucci (Carnegie Mellon University, Pittsburgh, USA)


                     Program Committee
  • Christoph Hewel (Paustian & Partner, Germany)
  • Rene Hackl-Sommer (DeepL SE, Germany)
  • Anthony Trippe (Patinformatics, Ireland)

  • Paul Groth (University of Amsterdam, Netherlands)
  • Hans-Peter Zorn (inovex Gmbh, Karlsruhe, Germany)
  • Michael Natterer (Dennemeyer Octimine GmbH, Germany)
  • Karin Verspoor (RMIT University, Melbourne, Australia)

  • Ian Wetherbee (Google Inc., Sunnyvale, United States)
  • Michail Salampasis (International Hellenic University, Thessaloniki, Greece)
  • Simone Ponzetto (University of Mannheim, Germany)

  • Dieter Franz Kogler (University College Dublin, Ireland)
  • Alexander Klenner-Bajaja (European Patent Office, Netherlands)
  • Tobias Fink (TU Wien, Austria)
  • Ron Daniel (AI4Science.com, United States)


                               Website
Further information on the topics, schedule, and further developments of the
           PatentSemTech workshop can be found at the website:
               http://ifs.tuwien.ac.at/patentsemtech/




                                     ii

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