Linking early geospatial documents, one place at a time: annotation of geographic documents with Recogito

Recogito is an open source tool for the semi-automatic annotation of place references in maps and texts. It was developed as part of the Pelagios 3 research project, which aims to build up a comprehensive directory of places referred to in early maps and geographic writing predating the year 1492. Pelagios 3 focuses specifically on sources from the Classical Latin, Greek and Byzantine periods; on Mappae Mundi and narrative texts from the European Medieval period; on Late Medieval Portolans; and on maps and texts from the early Islamic and early Chinese traditions. Since the start of the project in September 2013, the team has harvested more than 120,000 toponyms, manually verifying almost 60,000 of them. Furthermore, the team held two public annotation workshops supported through the Open Humanities Awards 2014. In these workshops, a mixed audience of students and academics of different backgrounds used Recogito to add several thousand contributions on each workshop day. A number of benefits arise out of this work: on the one hand, the digital identification of places – and the names used for them – makes the documents' contents amenable to information retrieval technology, i.e. documents become more easily search- and discoverable to users than through conventional metadata-based search alone. On the other hand, the documents are opened up to new forms of re-use. For example, it becomes possible to “map” and compare the narrative of texts, and the contents of maps with modern day tools like Web maps and GIS; or to analyze and contrast documents’ geographic properties, toponymy and spatial relationships. Seen in a wider context, we argue that initiatives such as ours contribute to the growing ecosystem of the “Graph of Humanities Data” that is gathering pace in the Digital Humanities (linking data about people, places, events, canonical references, etc.), which has the potential to open up new avenues for computational and quantitative research in a variety of fields including History, Geography, Archaeology, Classics, Genealogy and Modern Languages

CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

Developing an Image-Based Classifier for Detecting Poetic Content in Historic Newspaper Collections

Developing an Image-Based Classifier for Detecting Poetic Content in Historic Newspaper Collections details and analyzes the first stage of work of the Image Analysis for Archival Discovery project team. Our team is is investigating the use of image analysis to identify poetic content in historic newspapers. The project seeks both to augment the study of literary history by drawing attention to the magnitude of poetry published in newspapers and by making the poetry more readily available for study, as well as to advance work on the use of digital images in facilitating discovery in digital libraries and other digitized collections. We have recently completed the process of training our classifier for identifying poetic content, and as we prepare to move in to the deployment stage, we are making available our methods for classification and testing in order to promote further research and discussion. The precision and recall values achieved during the training (90.58%; 79.4%) and testing (74.92%; 61.84%) stages are encouraging. In addition to discussing why such an approach is needed and relevant and situating our project alongside related work, this paper analyzes preliminary results, which support the feasibility and viability of our approach to detecting poetic content in historic newspaper collections

An Investigation into the development of an interactive archival catalog of art within the Rochester Institute of Technology

RIT has no complete visual and /or factual catalog of the pieces of art presently displayed in public areas. Many pieces of work on campus are in desperate need of repair as well as plaques to identify the work. Visions, the only known bound record of a selection of artwork on the Henrietta campus, was produced by the RIT Communications Office in 1975. The Archives in Wallace Memorial Library have a small collection of slides of various artworks, however, many works of art are currently missing. Several valuable pieces of work were lost in the move from the city campus to Henrietta, and some pieces have yet to be removed from storage in Physical Plant. RIT is not fully aware of what is currently located in public areas. This interactive catalog will create a complete visual and factual catalog of the artwork located in public areas on the RIT Henrietta campus. Being interac tive, this catalog will include full-color images, sound, QuickTime movie clips and text about the piece of work, its location on campus, the artist, as well as any other relevant information that can be gathered on the work. The catalog will be user-friendly so that anyone with little or no computer experience will have no trouble operating the program. Information on the artwork along with a full-color image of the piece will be displayed on each card. This interactive archival catalog will be simple for anyone to use. People with or without computer skills or experience with multimedia applications should discover that this catalog is a faster and more entertaining way to retrieve data. This thesis will investigate past, present and future storage meth ods for information. In addition, this project will research how effective interac tive archival storage is. Upon completion, the Interactive Archival Catalog will be tested by thirty students from the School of Fine and Applied Arts, the College of Photographic Arts and Sciences, and the School for Printing Management and Sciences. The students will be asked to play with the catalog for at least ten minutes and then answer some questions about it. The questions and responses can be found in Chapter 6, page 35. All comments and suggestions were noted and changes that needed to be made were corrected. The purpose of this catalog is to introduce the RIT community to the art work present on campus. Implementing interactive multimedia makes the data search experience an enjoyable and interesting one. If the catalog is successful, people will develop an appreciation of the artwork on this campus as well as an interest in interactive data storage and retrieval systems

Investigating the Relevant Agro Food Keyword in Malaysian Online Newspapers

Online newspaper is a valuable resource of information for decision making. To extract relevant information from them is a challenging process when their volume is massive, and its knowledge is in an unstructured form that is scattered on every page.  This situation becomes more complicated when different news providers have different styles of journalism when reporting a similar event and use different concepts and terms.  In this study, we examined the three Malaysian English online newspapers in order to identify knowledge in terms of the most relevant keywords used in daily online news. The news articles related to Agro-food industries were taken from online news websites - The Star Online, The Sun Daily, and The News Straits Times. During the extraction, about 458 Agro-food industries news articles were scrapped from the website within the time frame of 2014-2017.  The keywords were extracted using the RAKE algorithm and were classified into 4 groups i.e. agriculture, livestock, fishery and miscellaneous. The agriculture keywords group was found as the most frequent keywords in all newspapers (58%) and it was followed by the livestock (23%), fishery (12%), and miscellaneous (7%). Through the analysis, there were 146 Agro-related keywords found in all newspapers, repeated 720 times, and the highest Agro terms were found in The Star Online (35.13%), followed by The Sun Daily (33.78%), and The News Straits Times (31.08%). There were 12 Agro keywords0 which considered as the most relevant when they appear in all newspapers- palm oil, rice, fruits, fish, vegetable, livestock, paddy, crop, chicken, animal, meat, and beef. The ‘palm oil’ is the most popular keyword among the three newspapers and it was found 37 times (38.9%) in The Star Online, 26 times (37.9%) in News Straits Time, and repeated 22 times (23.2%) in the Sun. The identified keywords can be recommended as input to form a future Agro inventory

Special Libraries, December 1977

Volume 68, Issue 12https://scholarworks.sjsu.edu/sla_sl_1977/1008/thumbnail.jp