OsProject
edit
id	ProceedingsTitleParser
state
owner	WolfgangFahl
title	Shallow Semantic Parser to extract metadata from scientific proceedings titles
url	https://github.com/WolfgangFahl/ProceedingsTitleParser
version	0.0.1
description
date	2020-07-02
since
until

Usage

What is it?

The Proceedings Title Parser Service is a specialized search engine for scientific proceedings and events. It searches in a corpus/database based on data from

http://www.openresearch.org ✓
http://ceur-ws.org ✓
http://www.wikidata.org (in progress)
http://confref.org (in progress)
http://crossref.org (in progress)
https://dblp.org/ (in progress)
GND (in progress)
http://www.wikicfp.com/cfp/ (planned)
...

Search Modes

The Proceedings Title Parser currently has three modes:

Proceedings Title Parsing
Named Entity Recognition (NER)
Extract/Scrape

All three modes expect some lines of text as input. The mode is automatically detected/selected by the content of the lines given as input.

Example

The input:

Proceedings of the 2020 International Conference on High Performance Computing & Simulation (HPCS 2020)
BIR 2019
http://ceur-ws.org/Vol-2599/

will trigger Proceedings Title Parsing mode for the first line
Named Entity Recognition mode for the second line
Extract/Scape mode for the third line

Try it!

Proceedings Title Parsing mode

In Proceedings Title Parsing mode the content of a line is parsed word by word to find typical elements of Proceedings titles like

ordinal (First, III., 6th, 23rd)
city (Paris, New York, London, Berlin, Barcelona)
country (USA, Italy, Germany, France, UK)
provinces (California, Texas, Florida, Ontario, NRW)
scope (International, European, Czech, Italian, National)
year (2016,1988,2017,2018,2019,2020)
...

while the above elements can be found by comparing with a list of known cities, countries, provinces, ... finding the event acronym needs a lookup in a corpus/database of proceedings and events which is automatically performed to check whether a known event acronym like ISWC, ICEIS, SIGSPATIAL, ... might be found with the given context e.g. year. If the acronym (with year) is found a link to the resulting source record is shown.

Example

Input

Proceedings of the 2020 International Conference on High Performance Computing & Simulation (HPCS 2020)

Try it!

#	Source	Acronym	Url	Found by
1	OPEN RESEARCH	HPCS 2020	https://www.openresearch.org/wiki/HPCS%202020	HPCS 2020

{'year': '2020', 'scope': 'International', 'event': 'Conference', 'topic': 'High Performance Computing & Simulation', 'acronym': 'HPCS 2020', 'title': 'Proceedings of the 2020 International Conference on High Performance Computing & Simulation (HPCS 2020)', 'source': 'line', 'publish': 'Proceedings', 'syntax': 'on', 'delimiter': '&'}
{ "acronym": "HPCS 2020", "city": "Barcelona", "country": "Spain", "creation_date": "2020-03-26 06:01:12", "end_date": "2020-07-24 00:00:00", "event": "HPCS 2020", "foundBy": "HPCS 2020", "homePage": null, "homepage": "http://conf.cisedu.info/rp/hpcs20/", "modification_date": "2020-03-26 08:16:33", "series": "HPCS", "source": "OPEN RESEARCH", "start_date": "2020-07-20 00:00:00", "title": "2020 International Conference on High Performance Computing & Simulation", "url": "https://www.openresearch.org/wiki/HPCS 2020" }

Named Entity Recognition mode (NER)

In named entity recognition mode the words to be looked up can be directly entered without following the patterns of typical proceedings titles. Syntax elements like "Proceedings of ... " may be left out. This mode will often also give good results but can not use the information provided by syntactically elements like "at". For an example "Proceedings of the 1st conference of the history of Rome at Paris" the NER equivalent "1 conference history Rome Paris" will obviously be ambiguous.

Example

Input

BIR 2019

Try it!

Result

#	Source	Acronym	Url	Found by
1	OPEN RESEARCH	BIR 2019	https://www.openresearch.org/wiki/BIR%202019	BIR 2019
2	BIR 2019	BIR 2019	http://ceur-ws.org/Vol-2345	BIR 2019
3	confref	BIR 2019	http://portal.confref.org/list/bir2019	BIR 2019

'title': 'BIR 2019', 'source': 'line', 'year': '2019'}
{ "acronym": "BIR 2019", "city": null, "country": null, "creation_date": "2020-03-09 11:01:20", "end_date": "2019-09-25 00:00:00", "event": "BIR 2019", "foundBy": "BIR 2019", "homepage": "https://bir2019.ue.katowice.pl/", "modification_date": "2020-07-06 11:47:07", "series": "BIR", "source": "OPEN RESEARCH", "start_date": "2019-09-23 00:00:00", "title": "18th International Conference on Perspectives in Business Informatics Research", "url": "https://www.openresearch.org/wiki/BIR 2019" }
{ "acronym": "BIR 2019", "city": "Cologne", "country": "Germany", "enum": "8th", "event": "BIR 2019", "eventId": "Vol-2345", "eventType": "Workshop", "foundBy": "BIR 2019", "homePage": null, "month": "April", "ordinal": 14, "publish": "Proceedings", "scope": "International", "source": "CEUR-WS", "syntax": "on", "title": "Proceedings of the 8th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2019)co-located with the 41st European Conference on Information Retrieval (ECIR 2019),Cologne, Germany, April 14th, 2019.Submitted by: Guillaume Cabanac", "topic": "Bibliometric-enhanced Information Retrieval", "url": "http://ceur-ws.org/Vol-2345", "year": "2019" }
{ "acronym": "BIR 2019", "address": null, "area": { "id": 2, "value": "Computer Science" }, "cameraReadyDate": null, "city": "Katowice", "confSeries": { "dblpId": "https://dblp.org/db/conf/bir/", "description": null, "eissn": null, "id": "bir", "issn": null, "name": "Business Informatics Research" }, "country": "Poland", "description": null, "endDate": "2019-09-25", "event": "BIR 2019", "foundBy": "BIR 2019", "homepage": null, "id": "bir2019", "keywords": [ "Data mining", "Enterprise architecture", "Business process model", "Aggregation", "Acceptance", "Banking", "Blockchain", "Comparison", "Digital learning", "e-Health", "Agile modelling method engineering", "Literature review", "Digitalization", "ecosystem", "Barriers of change", "Bing", "Business process management system", "digital Workplace Health Promotion (dWHP)", "Dual video cast", "e-Lecture" ], "name": "Business Informatics Research", "notificationDate": null, "ranks": [], "shortDescription": null, "source": "confref", "startDate": "2019-09-23", "submissionDate": null, "submissionExtended": false, "url": "http://portal.confref.org/list/bir2019", "year": 2019 }

Extract / scrape mode

If the line contains an url of a known source of conference of proceedings title information the page will be automatically visited and the meta data extracted.

Example

Input

http://ceur-ws.org/Vol-2599/

Try it!

Result:

#	Source	Acronym	Url	Found by
1	CEUR-WS	BlockSW	http://ceur-ws.org/Vol-2599	BlockSW

{'prefix': 'Blockchain enabled Semantic Web', 'event': 'Workshop', 'acronym': 'BlockSW', 'title': 'Proceedings of the Blockchain enabled Semantic Web Workshop (BlockSW) and Contextualized Knowledge Graphs (CKG) Workshop', 'source': 'CEUR-WS', 'eventId': 'Vol-2599', 'publish': 'Proceedings', 'syntax': 'and'}
{ "acronym": "BlockSW", "event": "BlockSW", "eventId": "Vol-2599", "eventType": "Workshop", "foundBy": "BlockSW", "homePage": null, "month": "October", "prefix": "Blockchain enabled Semantic Web", "publish": "Proceedings", "source": "CEUR-WS", "syntax": "New", "title": "Proceedings of the Blockchain enabled Semantic Web Workshop (BlockSW) and Contextualized Knowledge Graphs (CKG) Workshop (BlockSW-CKG 2019),Auckland, New Zealand, October 27, 2019.Submitted by: Reza Samavi", "url": "http://ceur-ws.org/Vol-2599", "year": "2019" }

Result formats / Content Negotiation

The following result formats are supported:

html (default)
json
xml

To select a result format you can either add the "&format" query parameter as part of your url or specify the corresponding accept header in your query.

Example format parameter queries

csv

http://ptp.bitplan.com/parse?examples=example2&titles=PAKM+2000&format=csv

Try it!

result is the same as with content-negotiation text/csv

json

http://ptp.bitplan.com/parse?examples=example2&titles=BIR+2019&format=json

Try it! result is the same as with content-negotiation application/json

xml

http://ptp.bitplan.com/parse?examples=example2&titles=EuroPar+2020&format=xml

Try it! result is the same as with content-negotiation application/xml or text/xml

wikison

To get WikiSon format

http://ptp.bitplan.com/parse?examples=example2&titles=EuroPar+2020&format=wikison

Try it!

Result:

{{Event
|homepage=https://2020.euro-par.org/
|event=EuroPar 2020
|series=EuroPar
|acronym=EuroPar 2020
|title=International European Conference on Parallel and Distributed Computing
|city=Warsaw
|country=Poland
|start_date=2020-08-24 00:00:00
|end_date=2020-08-28 00:00:00
|url=https://www.openresearch.org/wiki/EuroPar 2020
}}

Examples with accept header

csv

curl -H "Accept: text/csv" "http://ptp.bitplan.com/parse?examples=example2&titles=PAKM+2000"

Result for text/csv

"month","homePage","eventType","country","acronym","ordinal","url","year","event","eventId","source","syntax","enum","foundBy","location","publish","scope","title"
"October","","Conference","Switzerland","PAKM 2000",3,"http://ceur-ws.org/Vol-34","2000","PAKM 2000","Vol-34","CEUR-WS","the","Third","PAKM 2000","Basel","Proceedings","International","Proceedings of the Third International Conference (PAKM 2000), Basel, Switzerland, October 30-31, 2000.Submitted by: Ulrich Reimer"

json

curl -H "Accept: application/json" "http://ptp.bitplan.com/parse?examples=example2&titles=BIR+2019"

Result for application/json

{
	"count": 3,
	"events": [{
		"acronym": "BIR 2019",
		"city": null,
		"country": null,
		"creation_date": "2020-03-09T11:01:20+00:00",
		"end_date": "2019-09-25T00:00:00+00:00",
		"event": "BIR 2019",
		"foundBy": "BIR 2019",
		"homePage": null,
		"homepage": "https://bir2019.ue.katowice.pl/",
		"modification_date": "2020-07-06T11:47:07+00:00",
		"series": "BIR",
		"source": "OPEN RESEARCH",
		"start_date": "2019-09-23T00:00:00+00:00",
		"title": "18th International Conference on Perspectives in Business Informatics Research",
		"url": "https://www.openresearch.org/wiki/BIR 2019"
	}, {
		"acronym": "BIR 2019",
		"city": "Cologne",
		"country": "Germany",
		"enum": "8th",
		"event": "BIR 2019",
		"eventId": "Vol-2345",
		"eventType": "Workshop",
		"foundBy": "BIR 2019",
		"homePage": null,
		"month": "April",
		"ordinal": 14,
		"publish": "Proceedings",
		"scope": "International",
		"source": "CEUR-WS",
		"syntax": "on",
		"title": "Proceedings of the 8th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2019)co-located with the 41st European Conference on Information Retrieval (ECIR 2019),Cologne, Germany, April 14th, 2019.Submitted by: Guillaume Cabanac",
		"topic": "Bibliometric-enhanced Information Retrieval",
		"url": "http://ceur-ws.org/Vol-2345",
		"year": "2019"
	}, {
		"acronym": "BIR 2019",
		"address": null,
		"area": {
			"value": "Computer Science",
			"id": 2
		},
		"cameraReadyDate": null,
		"city": "Katowice",
		"confSeries": {
			"id": "bir",
			"issn": null,
			"eissn": null,
			"dblpId": "https://dblp.org/db/conf/bir/",
			"name": "Business Informatics Research",
			"description": null
		},
		"country": "Poland",
		"description": null,
		"endDate": "2019-09-25",
		"event": "BIR 2019",
		"foundBy": "BIR 2019",
		"homepage": null,
		"id": "bir2019",
		"keywords": ["Data mining", "Enterprise architecture", "Business process model", "Aggregation", "Acceptance", "Banking", "Blockchain", "Comparison", "Digital learning", "e-Health", "Agile modelling method engineering", "Literature review", "Digitalization", "ecosystem", "Barriers of change", "Bing", "Business process management system", "digital Workplace Health Promotion (dWHP)", "Dual video cast", "e-Lecture"],
		"name": "Business Informatics Research",
		"notificationDate": null,
		"ranks": [],
		"shortDescription": null,
		"source": "confref",
		"startDate": "2019-09-23",
		"submissionDate": null,
		"submissionExtended": false,
		"url": "http://portal.confref.org/list/bir2019",
		"year": 2019
	}]
}

xml

As an alternative to application/xml the mime-type text/xml is also accepted with the same result.

curl -H "Accept: application/xml" "http://ptp.bitplan.com/parse?examples=example2&titles=EuroPar+2020"

Result for application/xml

<?xml version="1.0" ?>
<events>
	<event>
		<foundBy>EuroPar 2020</foundBy>
		<homepage>https://2020.euro-par.org/</homepage>
		<event>EuroPar 2020</event>
		<series>EuroPar</series>
		<acronym>EuroPar 2020</acronym>
		<title>International European Conference on Parallel and Distributed Computing</title>
		<city>Warsaw</city>
		<country>Poland</country>
		<start_date>2020-08-24T00:00:00</start_date>
		<end_date>2020-08-28T00:00:00</end_date>
		<creation_date>2020-02-27T14:44:52</creation_date>
		<modification_date>2020-02-27T14:44:52</modification_date>
		<url>https://www.openresearch.org/wiki/EuroPar 2020</url>
		<source>OPEN RESEARCH</source>
	</event>
</events>

Running your own service

PreRequisites

If you'd like to run your own copy of this service you'll need:

git
python 3 (>=3.6)
some unix command line tools like curl, grep, wc

Tested on Linux (Ubuntu bionic/Travis) and MacOS High Sierra 10.13.6 (using macports)

Installation

git clone https://github.com/WolfgangFahl/ProceedingsTitleParser
./install

Getting the sample data

Getting the sample data from the different sources may take a few minutes. You'll need som 60 MBytes of disk space as of 2020-07-11

scripts/getsamples

Testing

./test

Implementation

Choice of Database/Storage system

The following candidates for a Database/storage system where considered:

Python native solutions
1. using JSON files as caches
2. ruruki
Graph databases
RDF TripleStore
1. Apache Jena

To investigate the feasibility of the approaches the Open Source Project DgraphAndWeaviateTest was created and issues for the different providers where created and questions on https://stackoverflow.com asked and answers given.

Evaluation results

Native JSON Files

Native Json Files have a very good performance and are simple to handle e.g. reading the crossRef data takes approx 1 sec

read 45601 events in   1.1 s

The disadvantage is that the query capabilities of the JSON only approach are limited. In the protype only lookup by eventID and eventAcronym was implemented via HashTables/Dicts.

Ruruki

Searching for an "in memory graph database solution for python" we found ruruki. The performance was disappointing. See testSpeed

creating 1000 vertices took   1.7 s = 598.3 v/s

Gremlin python

Using Gremlin would have been our favorite choice based on the experience with the SimpleGraph project. From our experience in-memory gremlin works excellent with less than 100.000 vertices when using Java. It is still useable for around 1 million vertices. If there are a lot more vertices it's necessay to back gremlin with a proper Graph database. We were not successful with any of the Graph database yet. The situation get's worse when Python is used as a programming language see: Gremlin python. Python is only supported as a language variant and it's very awkward to work in that environment. From our point of view this is not production ready so we didn't bother to investigate further.

DGraph

Dgraph looks like a good candidate for a graph database. It's simple to handle, has a docker based installation and a python interface. The tests looked very promising but in our development environment there has been some instability as reported in unreliability issue for Dgraph. It's not clear what causes this problem but it shows up in an undeterministic way in the travis CI tests and is a showstopper at this time. We will certainly reconsider Dgraph later.

Weaviate

Weaviate looks like an excellent fit for our usecase since it has NLP support built in and comes with a "contextionary" for e.g. english out of the box. That means the dictionary approach of the Proceedings Title Parser would have GloVe support immediately.

Apache Jena

Apache Jena has an RDF triplestore with SPAQRL query capabilities. The question was whether the integration with Python and the "List of Dicts" based approach of the EventManager would be feasible. The github issues

ProceedingsTitleParser

Usage

What is it?

Search Modes

Example

Proceedings Title Parsing mode

Example

Named Entity Recognition mode (NER)

Example

Extract / scrape mode

Example

Result formats / Content Negotiation

Example format parameter queries

csv

json

xml

wikison

Examples with accept header

csv

Result for text/csv

json

Result for application/json

xml

Result for application/xml

Running your own service

PreRequisites

Installation

Getting the sample data

Testing

Implementation

Choice of Database/Storage system

Evaluation results

Native JSON Files

Ruruki

Gremlin python

DGraph

Weaviate

Apache Jena

Navigation menu

Search